CN116311876B - Route adjustment method, device, storage medium and apparatus - Google Patents
Route adjustment method, device, storage medium and apparatusInfo
- Publication number
- CN116311876B CN116311876B CN202211093956.1A CN202211093956A CN116311876B CN 116311876 B CN116311876 B CN 116311876B CN 202211093956 A CN202211093956 A CN 202211093956A CN 116311876 B CN116311876 B CN 116311876B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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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
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- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a route adjustment method, equipment, a storage medium and a device, wherein the method comprises the steps of obtaining passenger flow information and station information of a route to be adjusted, determining station passenger flow distribution information of the route to be adjusted through a preset passenger flow time distribution model according to the passenger flow information, obtaining operation information of the route to be adjusted according to a preset scheduling algorithm, the station information and the station passenger flow distribution information, and adjusting the route to be adjusted according to the operation information of the route to be adjusted.
Description
Technical Field
The present invention relates to the field of route simulation technologies, and in particular, to a method, an apparatus, a storage medium, and a device for route adjustment.
Background
At present, most of household economic incomes can select private cars to travel, but green travel is advocated at present, so that the number of people taking buses is also large, and corresponding adjustment is needed to be made on the bus route to meet the needs.
The traditional adjustment of the bus route is mostly carried out through the feedback of passengers, the experience of drivers and operators of buses, the adjusted route is tried to operate, and the route is adjusted continuously until the route is stabilized according to the feedback, so that the operation cost is increased, the stability maintaining time is prolonged, and the problem of low efficiency exists.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The invention mainly aims to provide a route adjustment method, device, storage medium and device, which aim to solve the technical problems of how to adjust a bus route so as to reduce running cost and maintain stable time.
In order to achieve the above object, the present invention provides a route adjustment method including the steps of:
acquiring passenger flow information and station information of a to-be-adjusted route, and determining passenger flow distribution information of each station of the to-be-adjusted route through a preset passenger flow time distribution model according to the passenger flow information;
acquiring operation information of a route to be adjusted according to a preset scheduling algorithm, the site information and the passenger flow distribution information of each site;
And adjusting the route to be adjusted according to the operation information of the route to be adjusted.
Further, the step of obtaining the operation information of the route to be adjusted according to the preset scheduling algorithm, the site information and the passenger flow distribution information of each site includes:
Obtaining the interval between stations of a route to be adjusted according to a station information database, and determining the interval proportion between stations;
Determining the arrival time of each station according to the single time of the route to be adjusted and the interval proportion;
and obtaining the operation information of the route to be adjusted according to a preset scheduling algorithm, the arrival time of each station and the passenger flow distribution information of each station.
Further, the step of obtaining the operation information of the route to be adjusted according to the preset scheduling algorithm, the arrival time of each station and the passenger flow distribution information of each station includes:
determining the station where the passenger gets according to the arrival information and the departure information of each station of the unadjusted route;
Determining a route taken by the passenger according to the card swiping data of the passenger;
generating a preset scheduling algorithm according to the station where the passenger gets on and the route where the passenger gets on;
and obtaining operation information of the route to be adjusted according to the preset scheduling algorithm, the arrival time of each station and the passenger flow distribution information of each station.
Further, the step of determining the passenger flow distribution information of each station of the route to be adjusted according to the passenger flow information through a preset passenger flow time distribution model includes:
generating a preset passenger flow time distribution model according to the passenger riding time of each station of the unadjusted route;
And acquiring passenger flow information of the route to be adjusted, and determining passenger flow distribution information of each station of the route to be adjusted according to the passenger flow information through a preset passenger flow time distribution model.
Further, the step of generating a preset passenger flow time distribution model according to the passenger riding time of each station of the unadjusted route includes:
generating a preset route analysis model according to the arrival information and the departure information of each station of the unadjusted route;
And acquiring the passenger riding time of each station of the unadjusted route from the preset route analysis model, and generating a preset passenger flow time distribution model according to the passenger riding time.
Further, the step of generating a preset route analysis model according to the arrival information and the departure information of each station of the unadjusted route includes:
Acquiring the time duration, the arrival running speed, the departure running speed and the site information of different time periods of an unadjusted route, and determining the arrival information and the departure information according to the time duration, the arrival running speed, the departure running speed and the site information of the different time periods;
And generating a preset route analysis model according to the arrival information and the departure information.
Further, the step of adjusting the route to be adjusted according to the operation information of the route to be adjusted includes:
Comparing the operation information of the route to be adjusted with the operation information of the route which is not adjusted;
and adjusting the route to be adjusted according to the comparison result.
In addition, in order to achieve the above object, the present invention also proposes a route adjustment device comprising a memory, a processor and a route adjustment program stored on the memory and executable on the processor, the route adjustment program being configured to implement the route adjustment method as described above.
In addition, in order to achieve the above object, the present invention also proposes a storage medium having stored thereon a route adjustment program which, when executed by a processor, implements the route adjustment method as described above.
In addition, in order to achieve the aim, the invention also provides a route adjustment device, which comprises a site information acquisition module, an operation information acquisition module and a route information adjustment module;
the station information acquisition module is used for acquiring passenger flow information and station information of the route to be adjusted, and determining passenger flow distribution information of each station of the route to be adjusted according to the passenger flow information through a preset passenger flow time distribution model;
The operation information acquisition module is used for acquiring operation information of a route to be adjusted according to a preset scheduling algorithm, the site information and the passenger flow distribution information of each site;
the route information adjustment module is used for adjusting the route to be adjusted according to the operation information of the route to be adjusted.
The bus route adjustment method comprises the steps of obtaining passenger flow information and station information of a route to be adjusted, determining station passenger flow distribution information of the route to be adjusted through a preset passenger flow time distribution model according to the passenger flow information, obtaining operation information of the route to be adjusted according to a preset scheduling algorithm, the station information and the station passenger flow distribution information, and adjusting the route to be adjusted according to the operation information of the route to be adjusted.
Drawings
FIG. 1 is a schematic diagram of a route adjustment device of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flow chart of a first embodiment of the route adjustment method of the present invention;
FIG. 3 is a flow chart of a second embodiment of the route adjustment method of the present invention;
FIG. 4 is a flow chart of a third embodiment of the route adjustment method of the present invention;
fig. 5 is a block diagram showing the construction of a first embodiment of the route adjustment device of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic diagram of a route adjustment device of a hardware running environment according to an embodiment of the present invention.
As shown in fig. 1, the routing device may include a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display (Display), and the optional user interface 1003 may also include a standard wired interface, a wireless interface, and the wired interface for the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) or a stable Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation of the routing device, and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a route adjustment program may be included in a memory 1005, which is considered to be one type of computer storage medium.
In the route adjustment device shown in fig. 1, the network interface 1004 is mainly used for connecting a background server and performing data communication with the background server, the user interface 1003 is mainly used for connecting user equipment, and the route adjustment device invokes a route adjustment program stored in the memory 1005 through the processor 1001 and executes the route adjustment method provided by the embodiment of the invention.
Based on the above hardware structure, an embodiment of the route adjustment method of the present invention is presented.
Referring to fig. 2, fig. 2 is a flow chart illustrating a first embodiment of a route adjustment method according to the present invention.
Step S10, passenger flow information and site information of a route to be adjusted are obtained, and the site passenger flow distribution information of the route to be adjusted is determined through a preset passenger flow time distribution model according to the passenger flow information.
Note that the execution body of the present embodiment may be a computer software device having functions of data processing, network communication, and program running, for example, a computer, a mobile phone, or other electronic devices capable of implementing the same or similar functions, which is not limited in this embodiment.
It should be understood that the traditional bus line is more regulated by the feedback of passengers, and the experience of drivers and operators of buses is that the line is continuously operated, fed back and stabilized after being regulated, and becomes a relatively fixed line. After the new line is generated and regulated, part of the line is finally abandoned and canceled, and the operation cost of the bus company is high for the experience of passengers.
In order to overcome the above-mentioned drawbacks, the present embodiment determines the passenger flow distribution information of each station of the route to be adjusted by the preset passenger flow time distribution model, determines the operation information of the route to be adjusted according to the preset scheduling algorithm, the station information and the passenger flow distribution information of each station, and adjusts the route to be adjusted according to the operation information to be adjusted, so that the bus route can be simulated by the model and the algorithm, thereby effectively reducing the cost brought by the actual operation route and the time consumed by stabilizing the route.
It should be noted that, the route to be adjusted may be a new route generated or an original route generated, but the site of the new route generated is a site on the existing route, and no new site is generated.
It should be noted that, for the generated new route, the passenger flow volume needs to be specified by itself, and the generated existing route can be obtained by dividing the passenger flow volume of the same route according to the similar route.
It can be appreciated that, possibly due to the large amount of passenger flow on a certain route, one or more routes need to be added to share the passenger flow, so that passengers on the route can sit on the bus in time.
It should be noted that, the passenger flow is split, the weight of the route can be set by the number of stations and the transfer times on the route, and then the weight of the route is calculated according to the algorithm, so as to obtain the passenger flow on the route.
The site information is obtained from a map information database provided by a third party, for example, a hundred-degree map or a google map, which is not limited in this embodiment.
The preset passenger flow time distribution model is formed by the passenger taking time of the unadjusted route, and for the generated new route, the stations of the new route are existing stations, so that the preset passenger flow time distribution model is generated according to the passenger taking time of each station on the new route, and for the generated existing route, the preset passenger flow time distribution model is directly generated from the passenger taking time of each station on the existing route.
It will be appreciated that whether a new route is generated or an existing route is generated, the traffic of other unadjusted routes is affected, i.e. the traffic of the repeated stations on the unadjusted routes is split, so that the traffic of each station on the route to be adjusted needs to be redetermined according to the preset traffic time distribution.
And step S20, obtaining operation information of a route to be adjusted according to a preset scheduling algorithm, the site information and the passenger flow distribution information of each site.
It should be noted that the preset scheduling algorithm may optimize the scheduling of some low passes, for example, when two consecutive vehicles do not reach full capacity, the following pass may be selected to replace the preceding pass.
It is understood that the information of the operation of the route to be adjusted may be the total amount of the route to be adjusted, hundred kilometers, single vehicle, and the number of passengers, etc., which is not limited in this embodiment.
In a specific implementation, site information of an operation route of a route to be adjusted and passenger flow distribution information of each site are input into a scheduling algorithm to be adjusted, the scheduling table of the route to be adjusted is adjusted by the scheduling algorithm, and then the operation information of the route to be adjusted is obtained through a preset route analysis model.
And step S30, adjusting the route to be adjusted according to the operation information of the route to be adjusted.
It can be understood that after the operation information of the to-be-adjusted route is obtained, the operation information is compared with the operation information of the unadjusted route, whether the revenue data of the to-be-adjusted route is considerable or not is judged, if not, the scheduling table of the to-be-adjusted route is required to be adjusted again through a preset scheduling algorithm, the operation information of the to-be-adjusted route is obtained again through a preset route analysis model, and the operation information is compared with the operation information of the unadjusted route until the considerable operation information of the to-be-adjusted route is obtained.
It will be appreciated that the route to be adjusted may actually be operated when the operation information of a considerable route to be adjusted is obtained.
Further, in order to make the obtained operation information of the route to be adjusted according to the accuracy, step S30 of the present embodiment may include:
Comparing the operation information of the route to be adjusted with the operation information of the route which is not adjusted;
and adjusting the route to be adjusted according to the comparison result.
It should be noted that, the generated new route may be compared with a route similar to the route to be adjusted, for example, a new generated route may be compared with a plurality of sites overlapping with each other or a route partially overlapping with each other, and an existing generated route may be compared according to the operation information of the existing route.
According to the method and the device, the passenger flow information and the station information of the route to be adjusted are obtained, the station passenger flow distribution information of the route to be adjusted is determined through a preset passenger flow time distribution model according to the passenger flow information, the operation information of the route to be adjusted is obtained according to a preset scheduling algorithm, the station information and the station passenger flow distribution information, and the route to be adjusted is adjusted according to the operation information of the route to be adjusted.
Referring to fig. 3, fig. 3 is a flow chart illustrating a second embodiment of the route adjustment method according to the present invention, which is based on the first embodiment shown in fig. 2.
In a second embodiment, the step S20 includes:
step S201, obtaining the interval between stations of the route to be adjusted according to the station information database, and determining the interval proportion between stations.
It should be noted that, the site information database needs to be obtained from a third party, and may be a hundred-degree map or a google map. For example, the GPS position of each station, the track, and the like may be acquired from the station information database.
It should be noted that, not only the interval between the stations to be adjusted, but also the GPS position of each station, the number of stations, the total mileage of the route, and the like may be obtained from the station information database, which is not limited in this embodiment.
Step S202, determining the arrival time of each station according to the single-trip time of the route to be adjusted and the interval proportion.
It should be noted that, for the single trip time for generating the new route, for example, the single trip time of the new route is determined according to the total mileage of the route and the operation speed of the bus at the average residence time per station. For the generated existing route, the single trip time of the route is determined according to the single trip time of the existing route.
It will be appreciated that, for example, the spacing between site one and site two is 300 meters and the spacing between site two and site three is 800 meters, then the spacing ratio from site one to site three is 3:8, and then the time to site two and site three is determined from the specified single pass time.
And step 203, obtaining operation information of the route to be adjusted according to a preset scheduling algorithm, the arrival time of each station and the passenger flow distribution information of each station.
It can be appreciated that the preset scheduling algorithm is determined according to the arrival time of each station and the passenger flow distribution information of each station.
It should be noted that, the preset scheduling algorithm may adjust the scheduling table of the route to be adjusted, for example, passenger flow distribution of each station of the route to be adjusted is relatively dense, but the interval between the arrival time of each station is relatively long, so that the scheduling table of the route to be adjusted may be adjusted by the preset scheduling algorithm, so as to reduce the time interval of each shift.
It should be noted that, after the scheduling of the route to be adjusted is adjusted by the preset scheduling algorithm, the revenue situation of each shift on the route to be adjusted will be different, for example, the time interval of each shift is reduced by the preset scheduling algorithm, so that the number of passengers on the bus of each shift will be different, and the revenue data will be different.
Further, in order to adjust the scheduling table of the route to be adjusted, step S203 of this embodiment may include:
determining the station where the passenger gets according to the arrival information and the departure information of each station of the unadjusted route;
Determining a route taken by the passenger according to the card swiping data of the passenger;
generating a preset scheduling algorithm according to the station where the passenger gets on and the route where the passenger gets on;
and obtaining operation information of the route to be adjusted according to the preset scheduling algorithm, the arrival time of each station and the passenger flow distribution information of each station.
It should be noted that, a preset route analysis model may be generated according to the arrival information and departure information of each station of the unadjusted route, and the preset route analysis model may correspond the card-swiping record of the passenger to a specific station and route, that is, the preset route analysis model may determine the station of the passenger boarding station and the route the passenger takes.
It can be understood that the preset scheduling algorithm not only needs the arrival time of each station and the passenger flow distribution information of each station of the route to be adjusted, but also needs the boarding station of the passenger and the route on which the passenger rides.
According to the embodiment, the interval between stations of the route to be adjusted is obtained according to the station information database, the interval proportion between stations is determined, the arrival time of each station is determined according to the single-trip time and the interval proportion of the route to be adjusted, the operation information of the route to be adjusted is obtained according to the preset scheduling algorithm, the arrival time of each station and the passenger flow distribution information of each station, and the scheduling table of the route to be adjusted is adjusted through the preset scheduling algorithm, so that whether the adjustment of the route is reasonable or not can be known without going to the operation in the field, and economic loss caused by continuously adjusting the scheduling table is avoided.
Referring to fig. 4, fig. 4 is a flow chart illustrating a third embodiment of the route adjustment method according to the present invention, which is based on the first embodiment shown in fig. 2.
In a third embodiment, the step S10 includes:
and step S101, generating a preset passenger flow time distribution model according to the passenger riding time of each station of the unadjusted route.
It will be appreciated that the passenger ride time for each station based on the unadjusted route is for the existing route generated.
It will be appreciated that since the unadjusted route is identical to the existing route generated, the passenger ride time for each station of the unadjusted route may be regarded as the passenger ride time for each station of the existing route generated.
It should be noted that, for the passenger riding time of each station of the generated new route, a route similar to the generated new route may be found first, and a preset passenger riding time distribution model is generated according to the passenger riding time of each station of the route similar to the generated new route.
In the specific implementation, the passenger riding time of each station of the unadjusted route is aggregated and counted, and then a preset passenger flow time distribution model is generated according to the required granularity level.
It should be noted that the aggregate statistics refers to an aggregate result of counting a plurality of aggregate elements, including intersection statistics, difference statistics, and union statistics. For example, one set is used for recording all the user names logged in a certain application software, the other set is used for recording the user names logged in the user software every day, and aggregation statistics are carried out on the two sets.
For example, when one minute is taken as one particle size class and 3 passengers get on a car in one minute, the getting-on time of the three passengers is aggregated into one data.
It will be appreciated that one minute may be used as a particle size class, or five minutes may be used as a particle size class, as this embodiment is not limited in this regard.
Further, in order to obtain the passenger riding time of each station of the unadjusted route, step S101 of this embodiment may include:
generating a preset route analysis model according to the arrival information and the departure information of each station of the unadjusted route;
And acquiring the passenger riding time of each station of the unadjusted route from the preset route analysis model, and generating a preset passenger flow time distribution model according to the passenger riding time.
It may be understood that the card swiping data of the unadjusted route may be obtained from the preset route analysis model, and the card swiping data may include a passenger boarding time, passenger card swiping data, passenger two-dimensional code data, passenger ID, vehicle-mounted device number, and the like, which is not limited in this embodiment.
It can be understood that the vehicle-mounted machine number and the passenger taking time are obtained according to the preset route analysis model, and the passenger taking time of each station of the unadjusted route is determined according to the arrival information and the departure information of each station of the unadjusted route and the passenger taking time of the passenger as the vehicle-mounted machine number of each bus is different, and the taking of the bus taken by the passenger can be determined according to the vehicle-mounted machine number.
Further, in order to mine the passenger travel track, step S101 of the present embodiment may include:
Acquiring the time duration, the arrival running speed, the departure running speed and the site information of different time periods of an unadjusted route, and determining the arrival information and the departure information according to the time duration, the arrival running speed, the departure running speed and the site information of the different time periods;
And generating a preset route analysis model according to the arrival information and the departure information.
It should be noted that, the preset route analysis model is a time fence model, and through the preset route analysis model, the card swiping records of the passengers can be corresponding to specific stations and routes, so that the riding data of the users are enriched, and the passengers are convenient to mine the occurrence track.
Step S102, passenger flow information of a route to be adjusted is obtained, and passenger flow distribution information of each station of the route to be adjusted is determined through a preset passenger flow time distribution model according to the passenger flow information.
It can be understood that the passenger flow information of the route to be adjusted is the passenger flow of the route to be adjusted, and for the generated new route, the passenger flow on the route can be specified, and for the generated existing route, the passenger flow can be directly obtained from the same route as the generated existing route.
According to the method and the device, the preset passenger flow time distribution model is generated according to the passenger riding time of each station of the unadjusted route, passenger flow information of the route to be adjusted is obtained, the passenger flow distribution information of each station of the route to be adjusted is determined according to the passenger flow information through the preset passenger flow time distribution model, and the passenger flow distribution information of each station of the route to be adjusted is determined through the determination of the preset passenger flow time distribution model, so that a scheduling table of the route to be adjusted can be adjusted according to the passenger flow distribution information of each station of the route to be adjusted, and the problem that working efficiency is low due to the fact that the passenger flow distribution information of each station of the route to be adjusted needs to be recorded manually in the field is solved.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium stores a route adjustment program, and the route adjustment program realizes the route adjustment method when being executed by a processor.
In addition, referring to fig. 5, the embodiment of the present invention also proposes a route adjustment device, which includes a site information acquisition module 10, an operation information acquisition module 20, and a route information adjustment module 30;
the station information acquisition module 10 is configured to acquire passenger flow information and station information of a route to be adjusted, and determine passenger flow distribution information of each station of the route to be adjusted according to the passenger flow information through a preset passenger flow time distribution model;
The operation information obtaining module 20 is configured to obtain operation information of a route to be adjusted according to a preset scheduling algorithm, the site information and the passenger flow distribution information of each site;
The route information adjustment module 30 is configured to adjust the route to be adjusted according to the operation information of the route to be adjusted.
According to the method and the system, the passenger flow information and the station information of the route to be adjusted are obtained, the passenger flow distribution information of each station of the route to be adjusted is determined according to the passenger flow information through a preset passenger flow time distribution model, the operation information of the route to be adjusted is obtained according to a preset scheduling algorithm, the station information and the passenger flow distribution information of each station, and the route to be adjusted is adjusted according to the operation information of the route to be adjusted.
Based on the above-described first embodiment of the route adjustment device of the present invention, a second embodiment of the route adjustment device of the present invention is proposed.
In this embodiment, the operation information obtaining module 20 is configured to obtain, according to a site information database, an interval between sites of the route to be adjusted, and determine an interval ratio between sites.
Further, the operation information obtaining module 20 is further configured to determine a station arrival time of each station according to the single trip time of the route to be adjusted and the interval proportion.
Further, the operation information obtaining module 20 is further configured to obtain operation information of the route to be adjusted according to a preset scheduling algorithm, the arrival time of each station, and the passenger flow distribution information of each station.
Further, the operation information obtaining module 20 is further configured to determine a station where the passenger gets on according to the arrival information and the departure information of each station where the route is not adjusted.
Further, the operation information obtaining module 20 is further configured to determine a route taken by the passenger according to the card swiping data of the passenger.
Further, the operation information obtaining module 20 is further configured to generate a preset scheduling algorithm according to the station where the passenger gets on and the route where the passenger gets on.
Further, the operation information obtaining module 20 is further configured to obtain operation information of the route to be adjusted according to the preset scheduling algorithm, the arrival time of each station, and the passenger flow distribution information of each station.
Further, the station information obtaining module 10 is further configured to generate a preset passenger flow time distribution model according to the passenger riding time of each station of the unadjusted route.
Further, the station information obtaining module 10 is further configured to obtain passenger flow information of the route to be adjusted, and determine passenger flow distribution information of each station of the route to be adjusted according to the passenger flow information through a preset passenger flow time distribution model.
Further, the station information obtaining module 10 is further configured to generate a preset route analysis model according to the arrival information and the departure information of each station of the unadjusted route.
Further, the station information obtaining module 10 is further configured to obtain a passenger riding time of each station of the unadjusted route from the preset route analysis model, and generate a preset passenger flow time distribution model according to the passenger riding time.
Further, the station information obtaining module 10 is further configured to obtain the time duration, the arrival operation speed, the departure operation speed, and the station information of different time periods of the unadjusted route, and determine the arrival information and the departure information according to the time duration, the arrival operation speed, the departure operation speed, and the station information of the different time periods.
Further, the station information obtaining module 10 is further configured to generate a preset route analysis model according to the arrival information and the departure information.
Further, the route information adjustment module 30 is further configured to compare the operation information of the route to be adjusted with the operation information of the route not adjusted.
Further, the route information adjustment module 30 is further configured to adjust the route to be adjusted according to the comparison result.
Other embodiments or specific implementation manners of the route adjustment device according to the present invention may refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. read only memory mirror (Read Only Memory image, ROM)/random access memory (Random Access Memory, RAM), magnetic disk, optical disk), comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (8)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211093956.1A CN116311876B (en) | 2022-09-08 | 2022-09-08 | Route adjustment method, device, storage medium and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211093956.1A CN116311876B (en) | 2022-09-08 | 2022-09-08 | Route adjustment method, device, storage medium and apparatus |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116311876A CN116311876A (en) | 2023-06-23 |
| CN116311876B true CN116311876B (en) | 2025-07-18 |
Family
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