JP2016085080A - Avoidance route search system, avoidance route search device, avoidance route search method, and computer program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an avoidance route search system, an avoidance route search device, an avoidance route search method and a computer program capable of providing a safe route by predicting the sudden change of a situation.SOLUTION: The avoidance route search system includes: search means for searching the route of a vehicle avoiding a passage difficult place on the basis of vehicle information including the dimension and weight of a vehicle, position information indicating the position of the vehicle, route information indicating the travel scheduled route of the vehicle and the topographic information of the travel scheduled route; means for acquiring the meteorological information of a range including the travel scheduled route; prediction means for predicting a passage inhibiting phenomenon on a road included in the route indicated by the route information on the basis of a distance from the position indicated by the route information, the topographic information and the meteorological information; and determination means for determining the presence/absence of a place where difficulty of passage is predicted on the route indicated by the route information by collating the vehicle information with the passage inhibiting phenomenon predicated by the prediction means.SELECTED DRAWING: Figure 1

Description

  The present application relates to a route search system that searches for a route traveled by a vehicle, and more particularly to an avoidance route search system, an avoidance route search device, an avoidance route search method, and a computer program that can provide a safer route.

  In a navigation system that provides an optimal route to a destination of a vehicle, traffic information is acquired in real time by an out-of-vehicle communication function (or a wireless communication function of a device brought into the vehicle) of an in-vehicle device, and is provided as an optimal route. It is possible to display the presence or absence of traffic on the route, or to re-present an optimal route that bypasses the traffic.

  Patent Document 1 discloses an in-vehicle navigation device that can search for a route that excludes places that are difficult to pass due to flooding or the like.

JP 2007-033331 A

  The re-presentation of the optimum route that bypasses the traffic jam is performed based on information such as the length of the traffic jam and the travel time at the location where the traffic jam actually occurs. The route search disclosed in Patent Document 1 is based on whether the actual precipitation or the actual precipitation time is equal to or greater than a predetermined amount, and the vehicle is submerged in comparison with the minimum ground clearance of the vehicle. It is determined whether or not there is a risk of doing so. Thus, in the conventional route search, it is determined whether or not to detour (avoid) based on the actual observation value.

  However, in recent years, sudden rains such as so-called guerrilla heavy rains have occurred frequently due to sudden changes in the weather. Judgments based on actual observations do not keep up with sudden changes in the situation, and flooding has occurred even at detours. May be required.

  The present invention has been made in view of such circumstances, and an avoidance route search system, an avoidance route search device, an avoidance route search method, and a computer program capable of providing a safer route by predicting a sudden change in the situation. The purpose is to provide.

  The avoidance route search device according to the present invention is based on vehicle information including the size or weight of a vehicle, position information indicating the position of the vehicle, route information indicating a planned travel route of the vehicle, and terrain information of the planned travel route. In the avoidance route search device comprising a search means for searching for a route of the vehicle that avoids a difficult-to-pass location, a means for acquiring weather information in a range including the planned travel route, a distance from the position indicated by the position information, Based on the topographic information and the weather information, by comparing the prediction means for predicting a traffic inhibition phenomenon on a road included in the route indicated by the route information, the vehicle information and the traffic inhibition phenomenon predicted by the prediction means And determining means for determining presence / absence of a place where passage difficulty is predicted in the route indicated by the route information.

  In the avoidance route search device according to the present invention, the prediction means includes a predicted amount of air temperature, precipitation amount, wind speed, river water level, tide level, yellow sand concentration, ash fall amount, or ultraviolet ray amount included in the weather information, or freezing, snow cover. Further, the traffic obstruction phenomenon is predicted based on the prediction of the presence or absence of dense fog, tornado or eruption.

  In the avoidance route search device according to the present invention, the vehicle information includes a vehicle type or a vehicle type of the vehicle, and the determination unit compares the vehicle type or the vehicle type of the tire with the traffic inhibition phenomenon. It is characterized in that it is determined.

  In the avoidance route search device according to the present invention, the vehicle information includes a minimum ground height of the vehicle, and the prediction means is configured to determine a crown of the road based on the height information of the road indicated by the topographic information. The depth of water is predicted, and the determination means is configured to determine the presence / absence of a location where passage difficulty is predicted by comparing the predicted submergence depth with the minimum ground clearance. Features.

  The avoidance route search system according to the present invention is present in a vehicle, wireless communication means with devices existing within a predetermined distance, position information indicating the position of the vehicle, and a route indicating a planned travel route of the vehicle A first communication device comprising means for acquiring information, and a second communication device comprising communication means for communicating with the first communication device via the wireless communication means, wherein the second communication device is Based on the position information and the route information transmitted from the first communication device, the vehicle information including the size or weight of the vehicle, and the terrain information of the planned travel route, the travel route of the vehicle that avoids the difficult passage location is searched. In the avoidance route search system, the second communication device includes a means for acquiring weather information in a range including the planned travel route, a distance from a position indicated by the position information received by the communication means, Based on the topographic information and the weather information, prediction means for predicting a traffic obstruction phenomenon on a road included in the route indicated by the route information received by the communication means, the vehicle information received by the communication means, and the prediction And determining means for determining presence / absence of a predicted difficulty of passing in a path indicated by the path information by collating with a traffic inhibition phenomenon predicted by the means.

  In the avoidance route search system according to the present invention, when the second communication device is determined to be present by the determination means, the second communication device searches for a route that avoids the difficult-to-pass predicted portion, and a new route indicating the searched route Means for transmitting correct path information to the first communication device together with the determination result.

  In the avoidance route search method according to the present invention, the computer has vehicle information including the size or weight of the vehicle, position information indicating the position of the vehicle, route information indicating the planned travel route of the vehicle, and topography of the planned travel route. In the method for searching for a route of the vehicle that avoids a difficult-to-pass location based on information, the computer acquires weather information in a range including the planned travel route, and a distance from a position indicated by the acquired position information Predicting a traffic obstruction phenomenon on a road included in the route indicated by the acquired route information based on the terrain information and the weather information, and collating the acquired vehicle information with the predicted traffic obstruction phenomenon. Then, based on the collation result, it is determined whether or not there is a place where difficulty in passing is predicted in the route indicated by the acquired route information.

  The computer program according to the present invention includes, in a computer, vehicle information including vehicle dimensions or weight, position information indicating the position of the vehicle, route information indicating the planned travel route of the vehicle, and terrain information of the planned travel route. A computer program for searching for a route of the vehicle that avoids a difficult-to-pass location based on the computer, means for acquiring weather information in a range including the planned travel route, a distance from a position indicated by the position information, the terrain Based on the information and the weather information, the prediction means for predicting the traffic inhibition phenomenon on the road included in the route indicated by the route information, the vehicle information, the traffic inhibition phenomenon predicted by the prediction means, and the determination condition are collated. Based on the means and the collation result, it is determined whether or not there is a place where difficulty in passing is predicted in the route indicated by the route information. Characterized in that to function as a constant means.

  In the present invention, weather information is acquired, and based on the acquired weather information, vehicle information including dimensions or weight, the position of the vehicle, the planned travel route of the vehicle, and the terrain information of the planned travel route, A traffic obstruction phenomenon on a road included in the route is predicted. By comparing the size or weight of the traveling vehicle with the predicted passage inhibition phenomenon, it is determined for each vehicle whether the passage is difficult. If there is a predicted difficulty in passing, the search device itself may search for a route that avoids the predicted difficulty in travel, or may transmit the predicted difficulty in travel to another device so that it can be searched by another device. Since the presence / absence of a difficult-to-pass location is determined based on the predicted phenomenon, a change in time until the vehicle reaches the difficult-to-pass location is taken into consideration, and safety is improved.

  In the present invention, as weather information, temperature, precipitation, wind speed, river water level, tide level, yellow sand concentration, amount of ash fall, or amount of ultraviolet rays, or prediction of the presence or absence of freezing, snowfall, dense fog, tornado, or eruption is used. The traffic obstruction phenomenon is predicted based on the terrain information on the planned travel route. Phenomena that impede traffic include not only flooding due to precipitation, river water level or tide level, but also dangers such as heavy rain, heavy fog, yellow sand or ash fall, strong winds, waves, freezing, tornadoes, or eruptions. Prediction is possible with reference to size or weight. In the present invention, the predicted weather information may be determined by collating the vehicle type or the tire type.

  In the present invention, the flood depth of the road is predicted based on the precipitation amount included in the weather information and the height information such as the elevation from the road and the river water level included in the terrain information of the planned travel route. Is done. The predicted inundation depth and the minimum ground clearance included in the vehicle information are compared. If the predicted inundation depth is deeper than the minimum ground clearance, the road is considered to be inaccessible and the inaccessible location is determined to be present. The

  According to the present invention, it is possible to provide a route that predicts flooding based on future weather forecasts and topographical information, and avoids places where a rapid rise in water level due to sudden changes in weather may occur based on the prediction. . Accordingly, it is possible to reduce the possibility that the vehicle is forced to make a detour to the U-turn or another route even though the vehicle is traveling on the route presented by the navigation system.

1 is a block diagram illustrating a configuration of an avoidance route search system in Embodiment 1. FIG. 6 is a flowchart illustrating an example of a processing procedure related to avoidance route search according to the first embodiment. It is explanatory drawing which shows the search example of an avoidance path | route. FIG. 10 is a block diagram illustrating a configuration of an avoidance route search system in a second embodiment. 6 is a block diagram illustrating a configuration of an avoidance route search device according to Embodiment 2. FIG. 10 is a flowchart illustrating an example of a processing procedure related to an avoidance route search in the second embodiment.

  Hereinafter, the present invention will be specifically described with reference to the drawings showing embodiments thereof. In addition, the embodiment shown below is an illustration, and of course, the present invention is not limited to the following configuration.

(Embodiment 1)
FIG. 1 is a block diagram illustrating a configuration of an avoidance route search system according to the first embodiment. The avoidance route search system according to Embodiment 1 includes an in-vehicle communication system 1 mounted on each vehicle, a network N, and an avoidance route search device 2 connected to the network N.

  The in-vehicle communication system 1 includes a plurality of control devices 10 including a navigation device 101 and a vehicle control device 102, a plurality of communication buses 11, 12, ... to which the plurality of control devices 10 are connected, and a plurality of communication buses. The GW apparatus 14 which connects 11, 12, ... and the external communication apparatus 15 connected to the GW apparatus 14 are included.

  Each of the plurality of control devices 10 is an electronic control device including a microcomputer. The control device 10 inputs / outputs numerical information such as measured values or control values from / to a connected sensor or actuator, and executes control processing based on the input numerical information. The control device 10 is divided into a plurality of groups according to the control contents set for each or the type of numerical information to be input / output, and each group is connected to the same communication bus in a bus form. For example, one of the plurality of control devices 10 is a navigation device 101, which includes a GPS (Global Positioning System) receiving unit 16 and a display unit 17 and displays the position of the vehicle V and a map image on the display unit 17. The navigation device 101 is connected to a communication bus 11 together with another control device 10 such as a car audio. In addition, another one of the plurality of control devices 10 is a vehicle control device 102 as shown in FIG. 1, together with the other control devices 10 of the chassis system, and a communication bus 11 to which the navigation device 101 is connected. Are connected to different communication buses 12. Each control device 10 has a communication function corresponding to the type of numerical information to be transmitted and received. The communication standards are, for example, CAN (Controller Area Network), LIN (Local Interconnect Network), FlexRay (registered trademark), MOST (Media Oriented Systems Transport), Ethernet (registered trademark), and the like. For example, the communication bus 11 corresponds to MOST, and the navigation apparatus 101 can perform communication based on MOST. The communication bus 12 corresponds to CAN, and the vehicle control apparatus 102 can perform communication based on CAN.

  The navigation device 101 stores map information in a built-in storage unit, acquires a location by the GPS receiving unit 16, reads a map in a predetermined range including the location from the storage unit, and causes the display unit 17 to display the map. The navigation device 101 has an operation unit that receives a destination of the vehicle V, searches for and determines a route from the location to the destination received by the operation unit, and stores the route in the storage unit. The navigation device 101 reads a map including the determined route from the storage unit and displays it on the display unit 17. The navigation device 101 can transmit various information to the GW device 14 via the communication bus 11.

  The vehicle control device 102 is, for example, a device related to suspension control, stores information on the size or weight of the vehicle including the minimum ground clearance in a built-in storage unit, and the vehicle height is constant based on the size of the vehicle. In this way, control such as suppression of vibration is performed. The vehicle control device 102 can transmit information about the minimum ground clearance to the GW device 14 via the communication bus 12.

  The GW device 14 is a device that relays data transmission / reception between different communication buses 11, 12,..., And is connected to the communication bus 11 and the communication bus 12, respectively. The GW device 14 is further connected to the communication bus 13 and transmits information obtained from the plurality of control devices 10 to the communication bus 13 via the communication bus 11 and the communication bus 12. The communication bus 13 is, for example, Ethernet.

  The out-of-vehicle communication device 15 includes a WiFi module including a wireless LAN antenna and a WiFi chip, or a communication module for realizing communication by connecting to a base station, and communicates with a communication device other than the in-vehicle device by wireless communication. is there. The external communication device 15 is connected to the GW device 14 via the communication bus 13, and transmits information transmitted from the GW device 14 to the external communication device 15 to a communication device other than the in-vehicle device by the WiFi module or the communication module. To do.

  The network N is a public communication network including the Internet. The network N includes a plurality of access points AP that enable connection to the network N by wireless communication. The network N is connected with prediction information WI, which is a database of weather prediction information that is updated as needed, and the communication information connected to the network N can access the prediction information WI. The forecast information WI includes weather, temperature, precipitation, wind speed, river water level, tide level, yellow sand concentration, ash fall at multiple timings at predetermined intervals such as 1 hour, 2 hours, etc. in each area corresponding to the observation point. The amount of prediction, the amount of ultraviolet rays, the amount of prediction, or the prediction of freezing, snow accumulation, dense fog, tornado, eruption, etc. are stored and updated sequentially. The network N is further connected with a danger map HI that is a database of dangerous places indicating places where disasters are likely to occur, and the danger map HI can be accessed from a communication device connected to the network N.

  The avoidance route search device 2 is a server computer installed in a data center or the like. The avoidance route search device 2 can be connected to the network N by wire or wireless. The avoidance route search device 2 includes a control unit 20, a storage unit 21, a temporary storage unit 22, and a communication unit 23.

  The control unit 20 uses a CPU (Central Processing Unit) to read and execute the avoidance route search program 2P stored in the storage unit 21, thereby causing the server computer to function as the avoidance route search device 2 according to the present invention. . The temporary storage unit 22 uses a RAM such as a DRAM (Dynamic Random Access Memory). The temporary storage unit 22 temporarily stores information generated by the processing of the control unit 20.

  The storage unit 21 uses a hard disk. The storage unit 21 stores various computer programs including the avoidance route search program 2P read by the control unit 20. The storage unit 21 stores map information 211 including a map of each area and information on topography. In addition, the storage unit 21 stores information that the control unit 20 refers to during processing. For example, it is a logical expression or numerical information related to a criterion for determining whether or not it is difficult to pass as described later. Of course, a storage device other than the hard disk may be used for the storage unit 21.

  The communication unit 23 includes each communication unit that realizes communication connection to the network N. The control unit 20 can be wired to the network N or connected to the wireless communication access point AP via the communication unit 23 and can be connected to the vehicle V communication device 15 via the network N. In addition, the control unit 20 can acquire weather prediction information from the prediction information WI connected to the network N by the communication unit 23, and can acquire information on each dangerous place from the danger map HI.

  In the avoidance route search system configured as described above, when the navigation device 101 searches and determines the route from the location to the destination, it avoids a determination request as to whether or not there is a portion to be avoided in the determined route. In order to transmit to the route search device 2, for example, the GW device 14 (or the vehicle communication device 15) is requested. The following processing is executed by the GW device 14 and the avoidance route searching device 2 that have received the request. FIG. 2 is a flowchart showing an example of a processing procedure related to the avoidance route search in the first embodiment.

  The GW device 14 receives position information indicating the location of the vehicle V and route information indicating the planned travel route of the vehicle V from the navigation device 101 (step S1). Further, the GW device 14 receives vehicle information including the size or weight of the vehicle V from the vehicle control device 102 (step S2). The GW device 14 sends the received position information, route information and vehicle information, and a request for determining whether or not there is a location to be avoided together with the requester's identification information from the external communication device 15 to the avoidance route search device 2 via the communication bus 13. (Step S3).

  The control unit 20 of the avoidance route search device 2 receives the position information of the location of the vehicle V, the route information of the planned travel route, and the vehicle information (minimum ground clearance) of the vehicle V through the communication unit 23 together with the determination request. Obtain (step S4). Based on the acquired information on the planned travel route, the control unit 20 extracts a map of the planned travel route and information on the terrain from the map information 211 (step S5), and identifies a dangerous location included in the map of the planned travel route as a danger map HI. (Step S6). The control unit 20 acquires weather prediction information on the planned travel route from the prediction information WI (step S7).

  Based on the position indicated by the position information, the control unit 20 calculates the predicted arrival time at each point on the planned travel route indicated by the route information (step S8). The control unit 20 predicts a traffic obstruction phenomenon (flood depth) at the calculated arrival prediction point from weather prediction information (for example, predicted precipitation amount) at each point in the future at each point on the planned travel route (step) S9). In step S <b> 9, the control unit 20 may predict the submergence depth with reference to the latest value of the actual measurement value of the submergence when there is a portion that has already been submerged. In addition, in step S9, the control unit 20 predicts a traffic obstruction phenomenon at the dangerous location, particularly when the dangerous location acquired from the danger map HI is included on the planned travel route.

  The control unit 20 determines, for each point on the planned travel route, a judgment formula (submersion depth) based on the judgment criteria for the difficulty of passing the traffic obstruction phenomenon (flood depth) predicted in step S9 and the vehicle information (minimum ground clearance). (S ≧≧ ground clearance) or numerical information is collated (step S10). As a result of the collation for each point, the control unit 20 determines whether or not there is a place where difficulty in passing is predicted in each point (step S11). For example, the control unit 20 determines that it is difficult to pass when it is determined that the flood depth at the time of arrival prediction at a certain point in step S10 is equal to or higher than the minimum ground clearance, and determines that there is a predicted passage difficulty. In step S10, the control unit 20 stores in advance the information on the water depth that can be traveled by vehicle type in the storage unit 21 as a judgment formula, and the numerical value of the water depth corresponding to the vehicle information (vehicle type) and the flood depth are stored. You may make it compare.

  If it is determined in step S11 that there is a place where difficulty in passing is predicted (S11: YES), the control unit 20 searches for an avoidance route based on the planned travel route and the location information of the difficult passage (step S12). . The control unit 20 uses the communication unit 23 to communicate the determination result (Yes) of Step S11, the new route information indicating the searched avoidance route, and the location information of the difficult-to-passage, out-of-vehicle communication of the requesting vehicle V. It transmits to the apparatus 15 (step S13).

  When it is determined in step S11 that there is no place where passage difficulty is predicted (S11: NO), the control unit 20 sends the determination result (no) to the outside communication device 15 of the requesting vehicle V by the communication unit 23. Transmit (step S14).

  The determination result transmitted from the avoidance route search device 2 by the external communication device 15 is received (step S15) and transmitted to the GW device 14.

  The GW device 14 determines whether or not the received determination result is present (step S16), and when it is determined that the determination result is present (S16: YES), the route information indicating the avoidance route received together with the traffic The position information of the difficult part is transmitted to the navigation device 101 and displayed on the display unit 17 (step S17). Thus, the avoidance route search process ends.

  When it is determined that the received determination result is nothing (S16: NO), the GW apparatus 14 displays information indicating that there is no place to be avoided on the display unit 17 (step S18). Thus, the avoidance route search process ends.

  FIG. 3 is an explanatory diagram illustrating an example of searching for avoidance routes. As shown by the broken line in the figure, the planned travel route of the vehicle V includes a road under the track 1 km ahead. The control unit 20 of the avoidance route search device 2 predicts, for example, 30 cm of flood under the track based on the precipitation prediction at the time when the vehicle V reaches the road (1 km ahead) under the track. The control unit 20 compares the inundation depth with the minimum ground height of 20 cm, for example, based on the determination standard that the predicted inundation depth is compared with the minimum ground height of the vehicle V, and the inundation depth is equal to or greater than the minimum ground height. It is judged that it is difficult to pass. The control unit 20 determines that there is a portion where passage difficulty is predicted, searches for an avoidance route as shown by a solid line in the figure, and transmits the avoidance route to the vehicle exterior communication device 15. The avoidance route is displayed on the navigation device 101 by the processing of the GW device 14 and is presented before the vehicle V travels the route to the road under the track. In this way, it is determined whether or not the vehicle is difficult to pass based on the inundation depth predicted based on the weather forecast rather than the actually observed inundation depth (traffic hindrance phenomenon), so that the vehicle V dives under the track. The depth of submergence increases while traveling on the road. As a result, the vehicle V is prevented from making a U-turn, and it is possible to make a detour to another route before this.

  In addition, since it is difficult to predict the inundation depth based on the balance with the amount of drainage by accumulating simple precipitation forecasts, the avoidance path search device 2 learns the past precipitation changes and the actual inundation depth changes. In addition, the learning result may be stored as a database. Thereby, it is possible to accurately predict the flood depth by predicting the transition of precipitation, and to determine whether or not it is difficult to pass.

  The above-described GW device 14 is configured to receive and acquire vehicle information from the vehicle control device 102, but may be stored in the GW device 14 in advance. Further, in the avoidance route search device 2, vehicle information may be stored in advance together with vehicle identification information, and vehicle identification information may be received from the outside communication device 15. The avoidance route search device 2 is configured to store the map information 211 in the storage unit 21 in advance, but may be configured to acquire the map information via the network N.

(Embodiment 2)
FIG. 4 is a block diagram showing the configuration of the avoidance route search system in the second embodiment. The avoidance route search system in Embodiment 2 includes an avoidance route search device 3 and a network N which are so-called smartphones brought into the vehicle V2. The network N includes forecast information WI that is a database of weather forecast information that is updated from time to time, a danger map HI that is a database of danger spots indicating places where disasters are likely to occur, and a map that includes information about each region's map and topography. The information MI is connected, and each can be accessed from a communication device connected to the network N.

  FIG. 5 is a block diagram showing a configuration of avoidance route search apparatus 3 in the second embodiment. The avoidance route search device 3 is a communication device, and the avoidance route search device 3 includes a control unit 30, a storage unit 31, a temporary storage unit 32, a communication unit 33, an operation unit 34, a display unit 35, and a GPS reception unit 36. .

  The control unit 30 uses a CPU (Central Processing Unit). The control unit 30 causes the communication device to function as the avoidance route search device according to the present invention by reading and executing the avoidance route search program 3P stored in the storage unit 31. The temporary storage unit 32 uses a RAM such as a DRAM (Dynamic Random Access Memory). The temporary storage unit 32 temporarily stores information generated by the processing of the control unit 30.

  A flash memory is used for the storage unit 31. In the storage unit 31, various computer programs including the avoidance route search program 3P read by the control unit 30 are stored in a rewritable manner. The avoidance route search program 3P is the one that the control unit 30 receives from an external device (for example, a server device) via the communication unit 33 and stores it in the storage unit 31, or the control unit 30 by communication from a wired-connected external device. Is obtained and stored. The storage unit 31 stores vehicle information 311 including vehicle dimensions or weight. The storage unit 31 stores information to be referred to when the control unit 30 executes processing. Of course, the storage unit 31 may use a storage device other than the flash memory.

  The communication unit 33 includes a communication unit that implements telephone communication and wireless communication. The control unit 30 can communicate with the base station for telephone communication or the wireless communication access point AP on the network N by the communication unit 33.

  The operation unit 34 uses a touch panel built in the display of the display unit 35 and a button group provided on the housing of the smartphone. The operation unit 34 notifies the control unit 30 of the contact information by the user and the position information of the contact location on the touch panel.

  The display unit 35 uses a display with a built-in touch panel. The display unit 35 displays various operation screens including objects such as text, icons, and images based on the control process of the control unit 30. The display unit 35 may not be a touch panel built-in type.

  The GPS receiving unit 36 receives a signal from a GPS satellite, obtains and outputs the latitude and longitude of its own position. When the function is on, the GPS receiver 36 receives signals at regular intervals, for example, every 5 seconds, and calculates latitude and longitude.

  In the second embodiment, the control unit 30 of the avoidance route searching device 3 inputs in advance dimension or weight information including the minimum ground clearance of the vehicle V2 based on the operation of the operation unit 34 by the user who is a passenger of the vehicle V2. The vehicle information 311 is stored in the storage unit 31. And when the user utilizes the navigation function of the avoidance route search device 3 that is a smartphone, the avoidance route search device 3 determines whether or not there is a place to be avoided in the determined route. Specifically, it is performed as follows. FIG. 6 is a flowchart illustrating an example of a processing procedure related to avoidance route search according to the second embodiment.

  The control unit 30 acquires position information of the location of the vehicle V2 from the GPS receiving unit 36 (step S31), and accepts an input operation of the destination by the operation unit 34 (step S32). The control unit 30 acquires a map of the area including the location and terrain information from the map information MI via the communication unit 33 (step S33), and searches for and determines a planned travel route between the location and the destination (step S33). Step S34).

  The control unit 30 acquires the dangerous part included in the determined planned travel route from the danger map HI (step S35), and acquires weather prediction information on the planned travel route from the prediction information WI (step S36). Based on the position indicated by the position information, the control unit 30 calculates the predicted arrival time at each point on the planned travel route indicated by the route information (step S37). The control unit 30 predicts a traffic obstruction phenomenon (flood depth) at the calculated arrival prediction time from weather prediction information (for example, predicted precipitation amount) at each future time point at each point on the planned travel route (step) S38). In step S38, the control unit 30 may predict the submergence depth with reference to the latest value of the actual measurement value of the submergence when there is a portion that has already been submerged. In particular, when the dangerous part acquired from the dangerous map HI is included, the traffic obstruction phenomenon in the dangerous part is predicted.

  The control unit 30 reads vehicle information (minimum ground clearance) from the vehicle information 311 (step S39), and for each point on the planned travel route, the traffic obstruction phenomenon (flood depth) predicted in step S37 and vehicle information ( (Minimum ground clearance) and a judgment formula (submergence depth ≧ minimum ground clearance) or numerical information related to the judgment criteria for difficulty of passing (step S40). As a result of the collation for each point, the control unit 30 determines whether or not there is a place where difficulty in passing is predicted in each point (step S41). For example, the control unit 30 determines that it is difficult to pass when it is determined that the flood depth at the time of arrival prediction at a certain point in step S41 is equal to or higher than the minimum ground clearance, and determines that there is a predicted difficulty in passing.

  If it is determined in step S41 that there is a place where difficulty in passing is predicted (S41: YES), the control unit 30 searches for an avoidance route based on the planned travel route and the location information of the place where passage is difficult (step S42). . The control unit 30 causes the display unit 35 to display an avoidance route and a location where passage is difficult (step S43). Thus, the avoidance route search process ends.

  When it is determined in step S41 that there is no place where difficulty in passing is predicted (S41: NO), the control unit 40 ends the process as it is. Note that the control unit 40 may cause the display unit 35 to display information indicating that there is no place to be avoided. Thus, the avoidance route search process ends.

  In this way, even with the avoidance route searching device 3 alone, which is a smartphone, it is determined whether or not it is difficult to pass through the inundation depth predicted based on the weather forecast, not the actually observed inundation depth (traffic obstruction phenomenon). Is possible. Even if the submergence depth becomes deep while the vehicle V2 in which the user carrying the avoidance route searching device 3 appears travels to the road under the track, detouring to another route becomes possible.

  In addition, although the avoidance path | route search apparatus 3 in Embodiment 2 was set as the structure which performs all the processes including prediction of a flood depth, prediction process (step S35-S41) does not need to be performed by the communication apparatus 30 itself. For example, the avoidance route search device 3 that is a smartphone stores vehicle information that is input and stored in advance, position information that is periodically acquired, and route information of a planned travel route of the vehicle V2 that the avoidance route search device 3 is brought into. A configuration may also be adopted in which a determination request is periodically transmitted to the avoidance route search device 2 shown in the first embodiment. For example, the information on the weather forecast is periodically acquired by the avoidance route search device 2 installed as a server device, and based on the transmitted information, it is determined whether there is a road on which flooding is predicted on the planned travel route, In the case where it is predicted that flooding will be difficult due to flooding, position information of the difficult passage prediction location is transmitted to the avoidance route search device 3. Thereby, it is not necessary to perform complicated calculations such as prediction of the traffic obstruction phenomenon in the avoidance route search device 3 that is a smartphone.

  In Embodiment 1 and 2, it was set as the structure which estimates a flood depth based on precipitation as a traffic obstruction phenomenon. However, other traffic impediments that can be predicted include flooding due to river water level or tide level, heavy rain, heavy fog, yellow sand or falling ash, visibility impediments, strong winds, waves, freezing, tornadoes, or eruptions. As well as precipitation, temperature, wind speed, river water level, tide level, yellow sand concentration, amount of ash fall, or amount of ultraviolet rays, or weather forecast information on whether there is freezing, snow, thick fog, tornado, or eruption is updated from time to time. For example, it is possible to predict a place where there is a high risk of difficulty in passing based on the prediction information instead of the actual measurement value at each time point, and refer to the vehicle information including the size or weight of the vehicle. It is possible to determine whether or not it is difficult to pass individually. The determination as to whether or not there is a high risk of difficulty in passing may be made by referring to the vehicle type or tire type of the vehicle.

  It should be thought that embodiment disclosed this time is an illustration and restrictive at no points. The scope of the present invention is defined by the terms of the claims, rather than the meanings described above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

2,3 Avoidance route search device 20,30 Control unit 21,31 Storage unit 2P, 3P Avoidance route search program 211, MI map information 311 Vehicle information WI prediction information

Claims (8)

Based on vehicle information including the size or weight of the vehicle, position information indicating the position of the vehicle, route information indicating the planned travel route of the vehicle, and terrain information of the planned travel route, the vehicle avoiding a difficult-to-pass location In an avoidance route search device comprising search means for searching for a route,
Means for acquiring weather information in a range including the planned travel route;
Predicting means for predicting a traffic obstruction phenomenon on a road included in the route indicated by the route information based on the distance from the position indicated by the location information, the terrain information, and the weather information;
And a determination unit that determines whether or not there is a portion predicted to be difficult to pass in the route indicated by the route information by collating the vehicle information with the passage inhibition phenomenon predicted by the prediction unit. Avoidance route searching device. The prediction means includes the predicted amount of temperature, precipitation, wind speed, river water level, tide level, yellow sand concentration, ash fall amount, or ultraviolet ray amount included in the weather information, or whether there is freezing, snowfall, dense fog, tornado, or eruption The avoidance route search device according to claim 1, wherein the traffic obstruction phenomenon is predicted based on the prediction. The vehicle information includes the vehicle type of the vehicle or the vehicle type of the tire,
The avoidance route search device according to claim 1, wherein the determination unit is configured to perform a determination by comparing a vehicle type or a vehicle type of a tire with the traffic inhibition phenomenon. The vehicle information includes a minimum ground clearance of the vehicle,
The prediction means is configured to predict the flood depth of the road based on the height information of the road indicated by the topographic information,
2. The avoidance according to claim 1, wherein the determination unit is configured to determine whether or not there is a location where passage difficulty is predicted by comparing the predicted submergence depth with the minimum ground clearance. Route search device. 1st communication provided with the means which acquires the radio | wireless communication means with the apparatus which exists in the vehicle and exists in the predetermined distance, the positional information which shows the position of the said vehicle, and the route information which shows the driving planned route of the said vehicle Position information transmitted from the first communication device, the second communication device including a communication device that communicates with the first communication device via the wireless communication device. In the avoidance route search system for searching for the travel route of the vehicle that avoids a difficult passage location based on the route information, the vehicle information including the size or weight of the vehicle, and the terrain information of the planned travel route,
The second communication device is
Means for acquiring weather information in a range including the planned travel route;
Prediction for predicting a traffic obstruction phenomenon on a road included in the route indicated by the route information received by the communication means based on the distance from the position indicated by the position information received by the communication means, the terrain information, and the weather information Means,
By comparing the vehicle information received by the communication means with the traffic obstruction phenomenon predicted by the prediction means, it is determined whether or not there is a predicted difficulty of passing in the path indicated by the path information. An avoidance route search system comprising: determination means for performing The second communication device is
A means for searching for a route that avoids the difficult-to-pass predicted portion, when the determination means determines that there is,
The avoidance route search system according to claim 5, further comprising means for transmitting new route information indicating the searched route together with the determination result to the first communication device. Based on vehicle information including vehicle dimensions or weight, position information indicating the position of the vehicle, route information indicating the planned travel route of the vehicle, and terrain information of the planned travel route, a computer avoids a difficult passage location. In the method of searching for a route of the vehicle,
The computer is
Get weather information in a range that includes the planned travel route,
Based on the distance from the position indicated by the acquired position information, the terrain information, and the weather information, predict a traffic obstruction phenomenon on the road included in the route indicated by the acquired route information,
Collating the acquired vehicle information with the predicted traffic obstruction phenomenon,
An avoidance route search method, comprising: determining whether or not there is a portion predicted to be difficult to pass in the route indicated by the acquired route information based on a collation result. Based on vehicle information including the dimensions or weight of the vehicle, position information indicating the position of the vehicle, route information indicating the planned travel route of the vehicle, and terrain information of the planned travel route, avoiding a difficult passage location In the computer program for searching the route of the vehicle,
In the computer,
Means for acquiring weather information in a range including the planned travel route;
A predicting means for predicting a traffic obstruction phenomenon on a road included in the route indicated by the route information based on the distance from the position indicated by the location information, the terrain information, and the weather information;
Based on the vehicle information, the traffic obstruction phenomenon predicted by the prediction means, and the judgment condition, and based on the result of the collation, the presence / absence of a location predicted to be difficult to pass in the route indicated by the route information is determined. A computer program that functions as a determination means.

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