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WO2014012508A1 - Système et procédé d'assistant de navigation à fonctionnement intelligent pour taxi - Google Patents

Système et procédé d'assistant de navigation à fonctionnement intelligent pour taxi Download PDF

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Publication number
WO2014012508A1
WO2014012508A1 PCT/CN2013/079633 CN2013079633W WO2014012508A1 WO 2014012508 A1 WO2014012508 A1 WO 2014012508A1 CN 2013079633 W CN2013079633 W CN 2013079633W WO 2014012508 A1 WO2014012508 A1 WO 2014012508A1
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module
vehicle
data
data center
taxi
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Chinese (zh)
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周文伟
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Individual
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
    • G08G1/202—Dispatching vehicles on the basis of a location, e.g. taxi dispatching
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/024—Guidance services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information

Definitions

  • the invention relates to an auxiliary information system for finding a passenger source in a taxi, which can help the taxi driver to find the source of the passenger more effectively, and can change the taxi intelligent operation navigation assistant system for passive waiting and blind street hunter. And methods are in the field of navigation system manufacturing.
  • Design purpose to avoid the deficiencies in the background technology, to design a taxi intelligent operation navigation assistant system that can help taxi drivers to find customers more quickly and efficiently, and can change passive waiting and blind street sweeping. And methods.
  • the taxi intelligent operation navigation assistant system designed by the invention can provide an effective route and position recommendation to the driver when the taxi is in an idle state, thereby helping the driver to find the source of the passenger more efficiently and quickly.
  • the operation method is as follows: 1. Under the no-load condition of the taxi, the display screen of the system displays the current position and driving direction of the vehicle. The system predicts the next possible driving direction of the vehicle by analyzing the map information. For example, if there is no turning intersection at present, the possible driving direction is to keep the current driving direction or reverse the head; if there is an intersection in front, The possible driving directions are to continue forward, turn left, turn right and reverse the head. 2.
  • the system obtains relevant data from the data center for the roads that are currently predicted for each driving direction, and analyzes the no-load rate, the number of empty taxis, the average taxi speed, the number and frequency of taxis on the road.
  • Various factors such as weather, real-time traffic conditions, etc., evaluate the passenger opportunities of each road, and can present them to the driver through colors, charts, numbers and texts. 3.
  • the driver performs the above-mentioned analysis operations in real time and gives the results, helping the driver to continuously find the optimal passenger route. 4.
  • the driver can obtain the data of the no-load rate, the number of idling vehicles, the average driving speed, the number of users calling, the frequency and the weather at any historical time by selecting the location point or inputting the location information of the location, or Obtain the current real-time information of the above data at the location point, and the system can also provide data prediction analysis at a certain point in the future. This can help the driver to have a clearer understanding of the passenger opportunities in each area and location. 5.
  • the system will completely record the travel trajectory of all taxis in the system, the data of passengers getting on and off, the mileage and charges of each passenger, and send it back to the data center through the wireless communication module for storage as the self-learning data of the system. , thereby continuously improving the effectiveness of system recommendations.
  • the invention comprises a vehicle device, a satellite positioning module, a communication module such as GSM/GPRS or 3G, a display module, an intelligent operation navigation processor module, a map module, a meter module and a system data center.
  • the satellite positioning module is installed on the taxi to obtain the real-time geographic location of the vehicle in the system, and sends the data to the data center; the communication module such as GSM/GPRS or 3G is installed in the taxi to complete the system data.
  • the vehicle charges data for each passenger and whether the taxi is in an empty state;
  • the intelligent operation navigation processor module is the core module of the system, which is used to process various data obtained and communicate with the system data center. Obtain the analysis result of the data center and display the recommendation result on the display device; the map module, as the module of the map information source.
  • the system data center as the whole system and core, consists of multiple servers and supporting software. It is responsible for storing and calculating the data obtained by the system, obtaining corresponding results, and returning to the vehicle module.
  • a taxi intelligent operation navigation assistant system which is composed of at least a vehicle-mounted module with a GPS satellite positioning module and a GSM/GPRS or 3G communication module, a satellite positioning group, a system data center, and a mobile communication base station.
  • the GPS module obtains the positioning information of the vehicle equipment through the GPS satellite group, and sends it to the system data center.
  • the system data center communicates with the vehicle module through the mobile communication platform, and the vehicle module transmits the recorded data to the system data center, the system data center. It is responsible for storing the data, and performing related calculation according to the request of the vehicle module, and the calculation result is returned to the vehicle module through the mobile communication platform.
  • a taxi intelligent operation navigation assistant method when the taxi is in an idle state, the system starts the intelligent navigation assistant program, according to the real-time positioning information of the vehicle acquired by the GPS module, after being processed by the processor, combined with the map module
  • the map information displays the current range of icons on the display to indicate the current real-time position and driving direction of the vehicle.
  • the GPS module sends positioning information to the vehicle module and the system data center every 2 seconds to ensure data continuity and reliability.
  • the interval can be adjusted by the system setting, the processor receives the above positioning information and map information, calculates a predicted driving direction of the vehicle, and transmits the information to the system data center through the wireless communication module to issue a calculation request; system data After receiving the request, the center obtains real-time weather data of the vehicle area released by the weather station through the network, and can be divided into a normal mode and a rain and snow day mode according to weather conditions: (1) if the current weather is not rain or snow, the normal mode is entered. Query the relevant 5KM range around the request vehicle Historical data and current real-time data sent by other vehicles, including road no-load rate, number of empty vehicles, average driving speed, number of vehicles and frequency of users in the surrounding area, etc.
  • the processor After weighted analysis and calculation, all possible driving of the requested vehicle is obtained. In the direction, the corresponding passenger opportunity size, the result is returned to the onboard module processor of the requesting vehicle, the processor receives the calculation result of the data center, displays the result on the display screen, and uses color to indicate each type of driving
  • the direction of the passenger opportunity green means that the direction of the passenger is very large, yellow means normal, red means the chance is small; (2) if the current weather is rain and snow, then enter the rain mode, in the case of rain, the customer's taxi location Usually concentrated in some convenient rain shelter locations, the system will also perform special calculation and analysis according to the special conditions.
  • the system queries the relevant historical data within the 5KM range around the requested vehicle and the current real-time data sent by other vehicles, including the road no-load. Rate, number of empty vehicles, average driving speed, number and frequency of users calling in the surrounding area
  • Rate rate
  • the position of the passenger with the largest passenger opportunity around the requested vehicle is obtained, and then the real-time distance between the position and the requested vehicle is calculated, and the optimal passenger point is obtained by comprehensive analysis, and the result is returned to Request vehicle onboard module processor
  • the processor receives the calculation result, displays the result on the display screen, marks the optimal three parking positions in the periphery with a star symbol, and displays the navigation to the first optimal position calculated by the system by default. At this point, the driver can follow the system navigation. If the driver thinks that the other marked positions are more suitable, other positions can also be selected as the destination by keyboard input.
  • the data center analyzes the data sent by the onboard module (1), it is found that the surrounding airborne rate is extremely high, there are many empty vehicles, and the number of users who display the data through the calling system (such as the taxi calling system) is When the proportion of system data is very high, the system will switch to the optimal waiting point mode. That is to say, in the surrounding area, there are very few users who take taxis on the roadside. Basically, the car is called by the car system. Then the driver will no longer be effective in sweeping the streets, but will have a lot of empty mileage. Waste fuel, increase vehicle wear, it is better to park in a certain area, waiting to go is more reasonable.
  • the data center calculates the highest frequency of surrounding calls, the best traffic conditions, the number of parking spaces, etc. according to the data sent to the vehicle module (1), and obtains the best waiting place. The driver stops at these waiting places. Once a user requests a car, the data center immediately sends it to the car module (1) and displays it on the display. The driver immediately rushes to the calling location after receiving the request, both improving The efficiency, which effectively reduces the empty car mileage and fuel consumption, but also makes the driver easier and more convenient.
  • the invention avoids the passive waiting for the user to call the car; the second is to avoid the driver driving the empty taxi to sweep the street, looking for a source of tourists, so that the cost of the seeker is greatly reduced, and the time of no-load is large.
  • the reduction is reduced, the fuel consumption is greatly reduced, and the operating income is increased under the premise of reducing the labor intensity of the taxi driver; the third is low carbon and environmental protection.
  • FIG. 1 is a schematic diagram of a system configuration of an embodiment of the present invention.
  • FIG. 2 is a schematic structural diagram of a device module according to an embodiment of the present invention.
  • FIG. 3 is a logic flow diagram of a system for carrying passenger intelligent navigation according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram showing a conventional mode recommended route display of an assistant system according to an embodiment of the present invention.
  • FIG. 5 is a schematic diagram showing a recommended route and position display of a rainy day mode of an assistant system according to an embodiment of the present invention.
  • FIG. 6 is a schematic diagram of the processor 101 receiving the calculation result and displaying the result on the display screen.
  • Figure 7 is a system logic diagram.
  • Fig. 8 is a graph showing the results.
  • Figure 9 is a diagram showing the results of the system display.
  • a taxi intelligent operation navigation assistant system which is composed of at least a vehicle module 1, a satellite positioning group 2, a system data center 3 and a mobile communication base station 4 with a GPS satellite positioning module and a GSM/GPRS or 3G communication module, and the vehicle module 1
  • the GPS module obtains the positioning information of the vehicle equipment through the GPS satellite group and sends it to the system data center.
  • the system data center communicates with the vehicle module through the mobile communication platform, and the vehicle module transmits the recorded data to the system data center, and the system data.
  • the center is responsible for storing the data and performing related calculations according to the request of the vehicle module, and the calculation result is returned to the vehicle module through the mobile communication platform.
  • the onboard module 1 includes a processor 101, a wireless communication module 102, a GPS module 103, a power supply circuit 104, a display screen 105, a map module 106, a keyboard input module 107, and a meter device interface 108.
  • the power supply circuit 104 supplies power to each module.
  • the processor 101 and the wireless communication module 102 are in two-way data communication, and the processor 101 receives data information from the GPS module 103, the map module 106, the keyboard input module 107, and the meter device interface 108, and the processor 101 signal output terminal displays the signal input of the display 105. end.
  • the present invention provides an embodiment in which the system activates an intelligent operation navigation assistant operation when the taxi is in an unloaded state, helping the taxi driver using the system to find the best passenger route.
  • FIG. 1 is a schematic diagram showing the system configuration of an embodiment of the present invention.
  • the system consists of an onboard module 1 (with a GPS satellite positioning module and a communication module such as GSM/GPRS or 3G), a satellite positioning group 2, a system data center 3, and a mobile communication base station 4.
  • an onboard module 1 with a GPS satellite positioning module and a communication module such as GSM/GPRS or 3G
  • a satellite positioning group 2 such as GSM/GPRS or 3G
  • system data center 3 such as GSM/GPRS or 3G
  • mobile communication base station 4 such as GSM/GPRS or 3G
  • the vehicle module 1 is equipped with a GPS module, and obtains positioning information of the vehicle equipment through a GPS satellite group, such as latitude and longitude coordinates, speed, direction, and the like. The positioning information is simultaneously sent to the system data center.
  • the system data center is composed of multiple servers and supporting software.
  • the system data center communicates with the vehicle module through the mobile communication platform.
  • the vehicle module transmits the recorded data to the system data center.
  • the system data center is responsible for storing the data and according to the vehicle module.
  • the request is related to the calculation, and the calculation result is returned to the vehicle module through the mobile communication platform.
  • Figure 2 shows the internal structure of the onboard module.
  • the processor 101 the wireless communication module 102, the GPS module 103, the power supply circuit 104, the display screen 105, the map module 106, and the keyboard input module 107 are included.
  • the processor 101 is configured to process an information system such as GPS positioning data and wireless communication data obtained by the module, and send a request to the system data center to obtain feedback from the data center and control the result display.
  • the wireless communication module 102 is used for data communication between the module and the system data center.
  • the GPS module 103 is configured to acquire positioning information of the in-vehicle module, including latitude and longitude coordinates, speed, direction, and the like.
  • Power circuit 104 is used to power each module.
  • Display 105 is used to display the results of operating the navigation assistant system to the driver.
  • the map module 106 is used to store map information data that the system will use when performing the navigation assistant's calculations.
  • the keyboard input module 107 is a keyboard device for inputting data, such as inputting a place name when querying passenger system data of a specific place.
  • the meter device interface 108 is used to connect the module and the taxi meter device to obtain the charge data for the passenger each time the taxi is carried.
  • the starting point is the real-time location of the vehicle, constantly changing.
  • the navigation system analyzes the current possible route of the vehicle, and gives the size of the passenger opportunity on the route and location for each possible route, and presents it to the driving by means of charts, numbers, texts, voices, etc. member.
  • the system will refer to the taxi no-load rate data for that line and location when analyzing the size of the passenger capacity for each line and location.
  • the no-load rate data refers to the ratio of the number of empty taxis to the total number of taxis, divided into historical data and real-time data.
  • the historical data is the average taxi idling rate on the route and location through the history of the system;
  • the real-time data is the real-time taxi idling rate on the line and location at the current time obtained by the system. In general, the higher the no-load rate, the smaller the passenger opportunity.
  • the system will refer to the number of taxi-laden vehicles on that line and location when analyzing the size of the passenger space for each line and location.
  • the number of empty vehicles refers to the total number of empty taxis on the line and location, divided into historical data and real-time data.
  • the historical data is the number of empty vehicles in the taxi and the location of the taxi through the history of the system;
  • the real-time data is the current number of real-time taxi empty vehicles on the line and location obtained by the system. In general, the larger the number of empty vehicles, the smaller the passenger opportunity.
  • the system When analyzing the size of the passenger space for each line and location, the system will refer to the average taxi speed data on that line and location.
  • the average driving data refers to the ratio of the driving distance of all taxis on the line and the position to the driving time, and is divided into historical data and real-time data.
  • the historical data is the average average taxi speed of the line and location obtained through the historical record of the system;
  • the real-time data is the real-time taxi average travel speed of the line and location at the current time obtained by the system.
  • the average traveling speed is related to the congestion condition of the road. In a certain speed range, it can be considered that the smaller the average traveling speed is, the more congested the road is, and the smaller the passenger capacity is.
  • the system will refer to the number and frequency of calls requested on each line and location.
  • the number and frequency of the request for the car refers to the number and frequency of the taxis that the user calls the taxi through the system, and the number and frequency of the users that the system can obtain by other means of calling the car (such as the taxi call of the local city taxi).
  • the data is divided into historical data and real-time data: historical data refers to the results obtained by the system through recorded historical data; real-time data refers to the number and frequency of calls taken by the system at the current time. In general, the fewer the number of requests for a car and the lower the frequency, the smaller the passenger opportunity.
  • the system will refer to the current weather conditions. For example, if the current weather conditions are raining, the system will display a rainy day mode, which lists which lines and locations have the best passenger opportunities in the rainy days.
  • the system will refer to the data of all taxis in the system, the passengers' access data, the mileage and charges of each passenger, and complete the self-learning of the system to continuously improve the effectiveness of the system recommendation results. For example, the system ranks all taxi drivers in the system (the highest revenue per unit time or the lowest fuel consumption per unit of income). For the top drivers, the system analyzes their driving route trajectories. A reference value for system passenger opportunity analysis to improve the actual effectiveness of the system.
  • the system provides users with access to a variety of data from any location at any time.
  • the user can obtain the data of the no-load rate, the number of idling vehicles, the average traveling speed, the number and frequency of the user's car, and the weather at any historical time by selecting the location point or inputting the location information of the location, and also obtaining the data in real time.
  • the current point of the above data the system can also provide data prediction analysis at a certain point in time in the future.
  • Embodiment 2 On the basis of Embodiment 1, a taxi intelligent operation navigation assistant method, when the taxi is in an idle state, the system starts the intelligent navigation assistant program.
  • the real-time positioning information of the vehicle acquired by the GPS module 103 after processing by the processor 101, in combination with the map information provided by the map module 106, the current range map is displayed on the display screen (the map of the range of 5KM around the vehicle is displayed by default, and the driver can manually adjust the map.
  • the map displays the range), indicating the current real-time location and direction of travel of the vehicle.
  • the GPS module sends positioning information to the vehicle module and the system data center every 2 seconds to ensure the continuity and reliability of the data, and the interval time can be adjusted by the system setting.
  • the processor 101 receives the positioning information and the map information, calculates a possible driving direction of the predicted vehicle, and transmits the information to the system data center through the wireless communication module 102 to issue a calculation request.
  • the system data center first queries the real-time weather conditions of the vehicle area in the system (obtaining data released by the weather station through the network), and can be divided into a normal mode and a rain (snow) day mode according to weather conditions. (1) If the current weather is not raining (snow), enter the normal mode, and query the relevant historical data in the range of 5KM around the requested vehicle and the current real-time data sent by other vehicles according to the system logic flow chart shown in FIG.
  • the processor 101 receives the calculation result of the data center, and displays the result on the display screen, as shown in FIG. 4: color indicates the passenger opportunity of each driving direction, and green indicates that the driving direction is very large. , yellow means general, red means chance is small.
  • color indicates the passenger opportunity of each driving direction, and green indicates that the driving direction is very large. , yellow means general, red means chance is small.
  • the system will also perform special calculation analysis according to the special situation.
  • the logic flow chart is shown in Figure 5:
  • the system queries the 5KM range around the request vehicle. Relevant historical data and current real-time data sent by other vehicles, including road no-load rate, number of empty vehicles, average driving speed, number of vehicles and frequency of users in surrounding areas, etc. After weighted analysis, the requested vehicle is obtained. The location of the surrounding passengers is the largest, and by calculating the real-time distance between the locations and the requested vehicle, comprehensive analysis results in an optimal passenger point, and the result is returned to the on-board module processor 101 of the requesting vehicle.
  • the processor 101 receives the calculation result, and displays the result on the display screen, as shown in FIG.
  • the three optimal taxi positions in the periphery are marked with a star symbol, and the first optimal navigation to the system calculation is displayed by default. position. At this point the driver can follow the system navigation. If the driver thinks that the other marked positions are more appropriate, you can also select other locations as a destination by keyboard input.
  • the above system operation process is continuous in real time, that is, during the running of the vehicle, the vehicle module periodically transmits positioning and other information every 2 seconds, the system performs uninterrupted analysis and calculation, and displays the result in real time on the display screen.
  • the driver can query the passenger data at any position (including the air load rate, the number of empty vehicles, the average driving speed, the number and frequency of the vehicles, etc.).
  • the driver only needs to input the location through the keyboard input device, and obtains the coordinate information of the location through the map query, and the processor 101 sends the location information to the system data center to request the calculation result.
  • the data center queries related data (including historical data and current real-time data) in the system, and returns the result to the processor 101, the processor. 101 then the result is displayed on the display.
  • the system logic diagram is shown in Figure 7, and the results are shown in Figure 8.
  • Embodiment 3 When the data center analyzes the data sent by the vehicle-mounted module (1), it is found that the surrounding air-load rate is extremely high, the number of empty vehicles is very large, and the data is displayed by the user of the calling system (such as the taxi calling system). When the number of people in the system data is very high, the system will switch to the optimal waiting point mode.
  • a limit value can be set, for example, the idle rate exceeds 70%, and the number of empty vehicles exceeds 50 in one hour.
  • the ratio of the number of vehicles calling through the system exceeds 80%, and the optimal waiting point mode is activated when the above conditions are met. Of course, this condition can be continuously optimized and adjusted through the system's accumulated data.
  • the system will comprehensively analyze the highest frequency of surrounding calls, the best traffic conditions, the number of parking spaces, etc. according to the data sent by the in-vehicle module (1) acquired by the data center, and get the best waiting time.
  • the passenger location ensures that the driver can get to the location where the car is most often called in the fastest time.
  • the data center returns the results to the processor 101, which then displays the results on the display and identifies the three best candidate points with a triangular icon indicating that the driver is parked at these waiting locations.
  • the system displays the results as shown in Figure 9.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
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  • General Physics & Mathematics (AREA)
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PCT/CN2013/079633 2012-07-19 2013-07-18 Système et procédé d'assistant de navigation à fonctionnement intelligent pour taxi Ceased WO2014012508A1 (fr)

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CN201210250822.6 2012-07-19
CN201210250822.6A CN102881152B (zh) 2012-07-19 2012-07-19 出租车智能营运导航助理方法

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