Route adjustment method, device, storage medium and device

Abstract

The present invention discloses a route adjustment method, device, storage medium and apparatus. The method includes: obtaining passenger flow information and station information of a route to be adjusted, determining the passenger flow distribution information of each station of the route to be adjusted through a preset passenger flow time distribution model according to the passenger flow information, obtaining the operation information of the route to be adjusted according to a preset scheduling algorithm, station information and the passenger flow distribution information of each station, and adjusting the route to be adjusted according to the operation information of the route to be adjusted; since the present invention determines the passenger flow distribution information of each station of the route to be adjusted through a preset passenger flow time distribution model, determines the operation information of the route to be adjusted according to the preset scheduling algorithm, station information and the passenger flow distribution information of each station, and then adjusts the route to be adjusted according to the operation information to be adjusted, it can simulate the bus route through the model and algorithm, thereby effectively reducing the cost brought by the actual operation route and the time consumed by the stable route.

Description

Technical Field

[0001] The present invention relates to the technical field of route simulation, and particularly to a route adjustment method, device, storage medium and apparatus. Background Art

[0002] At present, since most families have a considerable income, they will choose to travel by private car. However, since green travel is now advocated, the number of people taking the bus is also large. Therefore, corresponding adjustments need to be made to bus routes to meet the needs.

[0003] Traditionally, the adjustment of bus routes is mostly carried out through the feedback of passengers, the experience of drivers and bus company operators. The adjusted route is put into trial operation, and continuous adjustments are made according to the feedback until the route stabilizes. This will increase the operating cost and the time to maintain stability, and there will also be problems of low efficiency.

[0004] The above content is only used to assist in understanding the technical solution of the present invention, and does not represent an admission that the above content is prior art. Summary of the Invention

[0005] The main purpose of the present invention is to provide a route adjustment method, device, storage medium and apparatus, aiming to solve the technical problem of how to adjust bus routes so as to reduce the operating cost and the time to maintain stability.

[0006] To achieve the above object, the present invention provides a route adjustment method, which includes the following steps:

[0007] Obtain the passenger flow information and stop information of the route to be adjusted, and determine the passenger flow distribution information of each stop of the route to be adjusted according to the passenger flow information through a preset passenger flow time distribution model;

[0008] Obtain the operation information of the route to be adjusted according to a preset scheduling algorithm, the stop information and the passenger flow distribution information of each stop;

[0009] Adjust the route to be adjusted according to the operation information of the route to be adjusted.

[0010] Further, the step of obtaining the operation information of the route to be adjusted according to a preset scheduling algorithm, the stop information and the passenger flow distribution information of each stop includes:

[0011] Obtain the intervals between each stop of the route to be adjusted according to a stop information database, and determine the interval ratio between each stop;

[0012] Determine the arrival time of each stop according to the one-way time of the route to be adjusted and the interval ratio;

[0013] Obtain the operation information of the route to be adjusted according to the preset scheduling algorithm, the arrival times of each station, and the passenger flow distribution information of each station.

[0014] Further, the step of obtaining the operation information of the route to be adjusted according to the preset scheduling algorithm, the arrival times of each station, and the passenger flow distribution information of each station includes:

[0015] Determine the stations where passengers board according to the arrival and departure information of each station on the unadjusted route.

[0016] Determine the route taken by the passenger according to the passenger's card swiping data.

[0017] Generate a preset scheduling algorithm based on the stations where the passengers board and the route taken by the passengers.

[0018] Obtain the operation information of the route to be adjusted according to the preset scheduling algorithm, the arrival times of each station, and the passenger flow distribution information of each station.

[0019] Further, the step of determining the passenger flow distribution information of each station on the route to be adjusted through a preset passenger flow time distribution model according to the passenger flow information includes:

[0020] Generate a preset passenger flow time distribution model based on the passenger boarding times of each station on the unadjusted route.

[0021] Obtain the passenger flow information of the route to be adjusted, and determine the passenger flow distribution information of each station on the route to be adjusted through the preset passenger flow time distribution model according to the passenger flow information.

[0022] Further, the step of generating a preset passenger flow time distribution model based on the passenger boarding times of each station on the unadjusted route includes:

[0023] Generate a preset route analysis model based on the arrival and departure information of each station on the unadjusted route.

[0024] Obtain the passenger boarding times of each station on the unadjusted route from the preset route analysis model, and generate a preset passenger flow time distribution model according to the passenger boarding times.

[0025] Further, the step of generating a preset route analysis model based on the arrival and departure information of each station on the unadjusted route includes:

[0026] Obtain the trip durations, arrival running speeds, departure running speeds, and station information of the unadjusted route at different time periods, and determine the arrival and departure information according to the trip durations, arrival running speeds, departure running speeds, and station information at different time periods.

[0027] Generate a preset route analysis model based on the arrival information and the departure information.

[0028] Further, the step of adjusting the route to be adjusted according to the operation information of the route to be adjusted includes:

[0029] Compare the operation information of the route to be adjusted with the operation information of the unadjusted route;

[0030] Adjust the route to be adjusted according to the comparison result.

[0031] In addition, to achieve the above object, the present invention also provides a route adjustment device, which includes a memory, a processor, and a route adjustment program stored on the memory and executable on the processor. The route adjustment program is configured to implement the route adjustment method as described above.

[0032] In addition, to achieve the above object, the present invention also provides a storage medium, on which a route adjustment program is stored. When the route adjustment program is executed by a processor, it implements the route adjustment method as described above.

[0033] In addition, to achieve the above object, the present invention also provides a route adjustment device, which includes: a station information acquisition module, an operation information acquisition module, and a route information adjustment module;

[0034] The station information acquisition module is configured to acquire the passenger flow information and station information of the route to be adjusted, and determine the passenger flow distribution information of each station of the route to be adjusted through a preset passenger flow time distribution model according to the passenger flow information;

[0035] The operation information acquisition module is configured to obtain the operation information of the route to be adjusted according to a preset scheduling algorithm, the station information, and the passenger flow distribution information of each station;

[0036] The route information adjustment module is configured to adjust the route to be adjusted according to the operation information of the route to be adjusted.

[0037] The present invention obtains the passenger flow information and station information of the route to be adjusted, determines the passenger flow distribution information of each station on the route to be adjusted through a preset passenger flow time distribution model according to the passenger flow information, obtains the operation information of the route to be adjusted according to the preset scheduling algorithm, station information, and the passenger flow distribution information of each station, and adjusts the route to be adjusted according to the operation information of the route to be adjusted; since the present invention determines the passenger flow distribution information of each station on the route to be adjusted through a preset passenger flow time distribution model, determines the operation information of the route to be adjusted according to the preset scheduling algorithm, station information, and the passenger flow distribution information of each station, and then adjusts the route to be adjusted according to the operation information to be adjusted, it can simulate the bus route through the model and algorithm, thereby effectively reducing the cost brought by the actual operation route and the time consumed by the stable route. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a schematic structural diagram of a route adjustment device in the hardware operating environment related to the embodiment solution of the present invention;

[0039] Figure 2 is a schematic flowchart of the first embodiment of the route adjustment method of the present invention;

[0040] Figure 3 is a schematic flowchart of the second embodiment of the route adjustment method of the present invention;

[0041] Figure 4 is a schematic flowchart of the third embodiment of the route adjustment method of the present invention;

[0042] Figure 5 is a structural block diagram of the first embodiment of the route adjustment device of the present invention.

[0043] The realization, functional characteristics, and advantages of the objectives of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0045] Refer to Figure 1 , Figure 1 is a schematic structural diagram of a route adjustment device in the hardware operating environment related to the embodiment solution of the present invention.

[0046] As Figure 1As shown in the figure, the route adjustment device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display). Optionally, the user interface 1003 may further include a standard wired interface and a wireless interface. For the wired interface of the user interface 1003, it may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed Random Access Memory (RAM) or a stable memory (Non-volatile Memory, NVM), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0047] Those skilled in the art can understand that Figure 1 the structure shown in does not constitute a limitation on the route adjustment device, and it may include more or fewer components than shown in the figure, or combine some components, or have different component arrangements.

[0048] As Figure 1 shown, the memory 1005, which is identified as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a route adjustment program.

[0049] In Figure 1 the route adjustment device shown, the network interface 1004 is mainly used to connect to the background server and communicate with the background server for data; the user interface 1003 is mainly used to connect to the user device; the route adjustment device calls the route adjustment program stored in the memory 1005 through the processor 1001 and executes the route adjustment method provided in the embodiments of the present invention.

[0050] Based on the above hardware structure, an embodiment of the route adjustment method of the present invention is proposed.

[0051] Referring to Figure 2 , Figure 2 which is a schematic flowchart of the first embodiment of the route adjustment method of the present invention, the first embodiment of the route adjustment method of the present invention is proposed.

[0052] Step S10: Obtain the passenger flow information and stop information of the route to be adjusted, and determine the passenger flow distribution information of each stop of the route to be adjusted according to the passenger flow information through a preset passenger flow time distribution model.

[0053] It should be noted that the execution subject of this embodiment can be a computer software device with data processing, network communication, and program running functions, such as a computer, a mobile phone, etc., or other electronic devices that can achieve the same or similar functions. This embodiment does not limit this.

[0054] It should be understood that the adjustment of traditional bus routes mainly relies on the feedback of passengers, the experience of drivers and bus company operators. Such routes become relatively fixed after continuous operation, feedback, and adjustment. After the generation and adjustment of new routes, some routes will eventually be abandoned and cancelled, resulting in high costs for both passengers' experience and the operation of the bus company.

[0055] To overcome the above defects, in this embodiment, the passenger flow distribution information of each station on the route to be adjusted is determined by presetting a passenger flow time distribution model. The operation information of the route to be adjusted is determined according to the preset scheduling algorithm, station information, and the passenger flow distribution information of each station. Then, the route to be adjusted is adjusted according to the operation information to be adjusted, which can simulate the bus route through the model and algorithm, thereby effectively reducing the costs brought by the actual operation route and the time consumed for stabilizing the route.

[0056] It should be noted that the route to be adjusted can be a newly generated route or an existing route. However, the stations of the newly generated route are stations on the existing route, and no new stations will be generated.

[0057] It should be noted that the passenger flow of the newly generated route needs to be specified independently. It can be referenced according to a similar route. For the existing route to be generated, the passenger flow of the generated existing route is obtained by diverting the passenger flow of its same route.

[0058] It can be understood that, perhaps due to a large passenger flow on a certain route, one or more new routes need to be added to share the passenger flow so that passengers on that route can all take the bus in time.

[0059] It should be noted that to divert the passenger flow, the weight of the route can be set according to the number of stations and the number of transfers on the route, and then the weight of the route is calculated according to the algorithm to obtain the passenger flow on the route.

[0060] It should be noted that the station information is obtained through the map information database, which is provided by a third party. For example, it can be Baidu Map or Google Map. This embodiment does not limit this.

[0061] It should be noted that the preset passenger flow time distribution model is formed by the passenger boarding time of the unadjusted route. For the newly generated route, since the stations of the new route are existing stations, the preset passenger flow time distribution model is generated according to the passenger boarding time of each station on the new route. For the generated route that is an existing one, the preset passenger flow time distribution model is generated directly from the passenger boarding time of each station on the existing route.

[0062] It is understandable that whether it is a new route generated or an existing route generated, it will have an impact on the passenger flow of other unadjusted routes, that is, it will divert the passenger flow of repeated stations on the unadjusted routes, so it is necessary to redetermine the passenger flow of each station on the route to be adjusted based on the preset passenger flow time distribution.

[0063] Step S20: obtaining 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.

[0064] It should be noted that the preset scheduling algorithm can optimize the scheduling of some low-frequency trips. For example, when two consecutive vehicles have not reached full load, the next trip can be used to replace the previous one.

[0065] It is understandable that the operation information of the route to be adjusted may be the total revenue, revenue per 100 kilometers, revenue per vehicle, number of passengers, etc. of the route to be adjusted, and this embodiment does not limit this.

[0066] In a specific implementation, the station information of the operating route to be adjusted and the passenger flow distribution information of each station are input into the preset scheduling algorithm, the preset scheduling algorithm adjusts the schedule of the route to be adjusted, and then the operating information of the route to be adjusted is obtained through the preset route analysis model.

[0067] Step S30: adjusting the route to be adjusted according to the operation information of the route to be adjusted.

[0068] It can be understood that after obtaining the operating information of the route to be adjusted, it is compared with the operating information of the unadjusted route to determine whether the revenue data of the route to be adjusted is considerable. If not, it is necessary to adjust the schedule of the route to be adjusted again through the preset scheduling algorithm, and obtain the operating information of the route to be adjusted again through the preset route analysis model, and compare the operating information with the operating information of the unadjusted route until considerable operating information of the route to be adjusted is obtained.

[0069] It can be understood that obtaining considerable operation information of the route to be adjusted indicates that the route to be adjusted can actually be operated.

[0070] Furthermore, in order to make the obtained operation information of the route to be adjusted accurate, step S30 in this embodiment may include:

[0071] Compare the operation information of the route to be adjusted with the operation information of the unadjusted route;

[0072] Adjust the route to be adjusted according to the comparison result.

[0073] It should be noted that for the newly generated route, it can be compared with a route similar to the route to be adjusted. For example, it can be compared with a route that has multiple overlapping stations or a partially repeated route with the newly generated route. For the existing route that has been generated, it can be compared according to the operation information of the existing route.

[0074] In this embodiment, by obtaining the passenger flow information and station information of the route to be adjusted, and determining the passenger flow distribution information of each station on the route to be adjusted through a preset passenger flow time distribution model according to the passenger flow information, obtaining the operation information of the route to be adjusted according to the preset scheduling algorithm, station information, and the passenger flow distribution information of each station, and adjusting the route to be adjusted according to the operation information of the route to be adjusted; since the present invention determines the passenger flow distribution information of each station on the route to be adjusted through a preset passenger flow time distribution model, determines the operation information of the route to be adjusted according to the preset scheduling algorithm, station information, and the passenger flow distribution information of each station, and then adjusts the route to be adjusted according to the operation information to be adjusted, it can simulate the bus route through the model and algorithm, thereby effectively reducing the cost brought by the actual operation route and the time consumed by the stable route.

[0075] Refer to Figure 3 , Figure 3 is a schematic flowchart of the second embodiment of the route adjustment method of the present invention. Based on the first embodiment shown above Figure 2 a second embodiment of the route adjustment method of the present invention is proposed.

[0076] In the second embodiment, the step S20 includes:

[0077] Step S201: Obtain the intervals between the stations on the route to be adjusted according to the station information database, and determine the interval ratios between the stations.

[0078] It should be noted that the station information database needs to be obtained from a third party, which can be Baidu Map or Google Map, and this embodiment does not limit this. For example, the GPS positioning and driving trajectories of each station can be obtained from the station information database.

[0079] It should be noted that not only the intervals between the stations to be adjusted can be obtained from the station information database, but also the GPS positioning of each station, the number of stations, and the total mileage of the route can be obtained, and this embodiment does not limit this.

[0080] Step S202: Determine the arrival time of each stop according to the one-way time of the route to be adjusted and the interval ratio.

[0081] It should be noted that the one-way time of the newly generated route needs to be specified. For example, the one-way time of the new route is determined according to the total mileage of the route and the operating speed of the bus, as well as the average stop time at each stop. For the existing route, the one-way time of the route is determined according to the one-way time of the existing route.

[0082] It can be understood that, for example, the interval between stop one and stop two is 300 meters, and the interval between stop two and stop three is 800 meters. Then the interval ratio from stop one to stop three is 3:8, and the arrival times at stop two and stop three are determined according to the specified one-way time.

[0083] Step S203: Obtain the operation information of the route to be adjusted according to the preset scheduling algorithm, the arrival time of each stop, and the passenger flow distribution information of each stop.

[0084] It can be understood that the preset scheduling algorithm is determined according to the arrival time of each stop and the passenger flow distribution information of each stop.

[0085] It should be noted that the preset scheduling algorithm can adjust the schedule of the route to be adjusted. For example, if the passenger flow distribution at each stop of the route to be adjusted is relatively dense, but the interval between the arrival times of each stop is relatively long, the schedule of the route to be adjusted can be adjusted by the preset scheduling algorithm to reduce the time interval of each trip.

[0086] It should be noted that after adjusting the schedule of the route to be adjusted by the preset scheduling algorithm, the revenue situation of each trip on the route to be adjusted will be different. For example, if the time interval of each trip is reduced by the preset scheduling algorithm, the number of passengers on each bus trip will be different, and the revenue data will also be different.

[0087] Furthermore, in order to adjust the schedule of the route to be adjusted, step S203 of this embodiment may include:

[0088] Determine the stops where passengers board according to the arrival and departure information of each stop of the unadjusted route;

[0089] Determine the route taken by the passengers according to the card swiping data of the passengers;

[0090] Generate a preset scheduling algorithm according to the stops where the passengers board and the route taken by the passengers;

[0091] Obtain the operation information of the route to be adjusted according to the preset scheduling algorithm, the arrival time of each stop, and the passenger flow distribution information of each stop.

[0092] It should be noted that a preset route analysis model can be generated based on the arrival information and departure information of each station on the unadjusted route. The preset route analysis model can map the card-swipe records of passengers to specific stations and routes, that is, the preset route analysis model can determine the boarding stations of passengers and the routes taken by passengers.

[0093] It can be understood that the preset scheduling algorithm requires not only the arrival times of each station on the route to be adjusted and the passenger flow distribution information of each station, but also the boarding stations of passengers and the routes taken by passengers.

[0094] In this embodiment, the intervals between each station on the route to be adjusted are obtained from the station information database, and the interval ratios between each station are determined. The arrival times of each station are determined based on the single-trip time of the route to be adjusted and the interval ratios. The operation information of the route to be adjusted is obtained according to the preset scheduling algorithm, the arrival times of each station, and the passenger flow distribution information of each station; in this embodiment, the scheduling table of the route to be adjusted is adjusted through the preset scheduling algorithm, so that it is possible to know whether the adjustment of the route is reasonable without actually operating, thereby avoiding economic losses caused by continuously adjusting the scheduling table.

[0095] Refer to Figure 4 , Figure 4 is a schematic flowchart of the third embodiment of the route adjustment method of the present invention. Based on the first embodiment shown above Figure 2 a third embodiment of the route adjustment method of the present invention is proposed.

[0096] In the third embodiment, the step S10 includes:

[0097] Step S101: Generate a preset passenger flow time distribution model according to the passenger boarding times of each station on the unadjusted route.

[0098] It can be understood that the passenger boarding times of each station on the unadjusted route are for the existing generated route.

[0099] It can be understood that since the unadjusted route is the same as the generated existing route, the passenger boarding times of each station on the unadjusted route can be regarded as the passenger boarding times of each station on the generated existing route.

[0100] It should be noted that for the passenger boarding times of each station on the newly generated route, a similar route can be found first, and a preset passenger flow time distribution model can be generated according to the passenger boarding times of each station on the route similar to the newly generated route.

[0101] In specific implementation, the passenger boarding times of each station on the unadjusted route are aggregated and statistically analyzed, and then a preset passenger flow time distribution model is generated according to the required granularity level.

[0102] It should be noted that aggregation statistics refer to the aggregation results of multiple set elements, including: intersection statistics, difference set statistics, and union statistics. For example, one set records the user names of all those who have logged in to a certain application software, and another set records the user names of those who have logged in to the user software every day. Aggregation statistics are performed on these two sets.

[0103] It should be noted that, for example, taking one minute as a granularity level, if 3 passengers get on the bus within one minute, the boarding times of these three passengers are aggregated into one piece of data.

[0104] It can be understood that one minute can be taken as a granularity level, or five minutes can be taken as a granularity level. This embodiment does not limit this.

[0105] Furthermore, in order to obtain the passenger boarding times at each stop of the unadjusted route, step S101 of this embodiment may include:

[0106] Generate a preset route analysis model based on the arrival information and departure information of each stop of the unadjusted route;

[0107] Obtain the passenger boarding times at each stop of the unadjusted route from the preset route analysis model, and generate a preset passenger flow time distribution model based on the passenger boarding times.

[0108] It can be understood that the card swiping data of the unadjusted route can be obtained from the preset route analysis model. The card swiping data may include the passenger boarding time, the passenger card swiping data, the passenger QR code data, the passenger ID, and the on-vehicle machine number, etc. This embodiment does not limit this.

[0109] It can be understood that the on-vehicle machine number and the passenger boarding time are obtained from the preset route analysis model. Since the on-vehicle machine numbers of each bus are different, the bus that the passenger takes can be determined through the on-vehicle machine number, and then the passenger boarding times at each stop of the unadjusted route are determined based on the arrival information, departure information, and the passenger boarding time of each stop of the unadjusted route.

[0110] Furthermore, in order to mine the passenger travel trajectories, step S101 of this embodiment may include:

[0111] Obtain the trip durations, arrival running speeds, departure running speeds, and stop information of the unadjusted route at different time periods, and determine the arrival information and departure information based on the trip durations, arrival running speeds, departure running speeds, and stop information at different time periods;

[0112] Generate a preset route analysis model based on the arrival information and the departure information.

[0113] It should be noted that the preset route analysis model is a time fence model. Through the preset route analysis model, the card swiping records of passengers can be mapped to specific stations and routes, thereby enriching the user's riding data and facilitating the mining of passenger appearance trajectories.

[0114] Step S102: Obtain the passenger flow information of the route to be adjusted, and determine the passenger flow distribution information of each station on the route to be adjusted through the preset passenger flow time distribution model according to the passenger flow information.

[0115] It can be understood that the passenger flow information of the route to be adjusted is the passenger flow volume of the route to be adjusted. For the newly generated route, the passenger flow volume on this route can be specified. For the existing generated route, the passenger flow volume can be directly obtained from the same route as the existing generated route.

[0116] In this embodiment, the preset passenger flow time distribution model is generated according to the passenger riding time of each station on the unadjusted route, the passenger flow information of the route to be adjusted is obtained, and the passenger flow distribution information of each station on the route to be adjusted is determined through the preset passenger flow time distribution model according to the passenger flow information. Since this embodiment determines the passenger flow distribution information of each station on the route to be adjusted by determining the preset passenger flow time distribution model, the schedule of the route to be adjusted can be adjusted according to the passenger flow distribution information of each station on the route to be adjusted, thus solving the problem of low work efficiency caused by the need to manually record the passenger flow distribution information of each station on the route to be adjusted on-site.

[0117] In addition, an embodiment of the present invention also proposes a storage medium, on which a route adjustment program is stored. When the route adjustment program is executed by a processor, the route adjustment method as described above is implemented.

[0118] In addition, referring to Figure 5 , an embodiment of the present invention also proposes a route adjustment device, which includes: a station information acquisition module 10, an operation information acquisition module 20, and a route information adjustment module 30;

[0119] The station information acquisition module 10 is used to obtain the passenger flow information and station information of the route to be adjusted, and determine the passenger flow distribution information of each station on the route to be adjusted through the preset passenger flow time distribution model according to the passenger flow information;

[0120] The operation information acquisition module 20 is used to obtain 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;

[0121] The route information adjustment module 30 is used to adjust the route to be adjusted according to the operation information of the route to be adjusted.

[0122] In this embodiment, by obtaining the passenger flow information and stop information of the route to be adjusted, and determining the passenger flow distribution information of each stop of the route to be adjusted 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 stop information, and the passenger flow distribution information of each stop, and the route to be adjusted is adjusted according to the operation information of the route to be adjusted; since the present invention determines the passenger flow distribution information of each stop of the route to be adjusted through a preset passenger flow time distribution model, determines the operation information of the route to be adjusted according to a preset scheduling algorithm, stop information, and passenger flow distribution information of each stop, and then adjusts the route to be adjusted according to the operation information to be adjusted, it can simulate the bus route through the model and algorithm, thereby effectively reducing the cost brought by the actual operation route and the time consumed by the stable route.

[0123] Based on the first embodiment of the above route adjustment device of the present invention, a second embodiment of the route adjustment device of the present invention is proposed.

[0124] In this embodiment, the operation information acquisition module 20 is used to obtain the intervals between each stop of the route to be adjusted according to the stop information database and determine the interval ratio between each stop.

[0125] Furthermore, the operation information acquisition module 20 is further used to determine the arrival time of each stop according to the single-trip time of the route to be adjusted and the interval ratio.

[0126] Furthermore, the operation information acquisition module 20 is further used to obtain the operation information of the route to be adjusted according to a preset scheduling algorithm, the arrival time of each stop, and the passenger flow distribution information of each stop.

[0127] Furthermore, the operation information acquisition module 20 is further used to determine the stops where passengers board according to the arrival information and departure information of each stop of the unadjusted route.

[0128] Furthermore, the operation information acquisition module 20 is further used to determine the route taken by the passenger according to the passenger's card-swipe data.

[0129] Furthermore, the operation information acquisition module 20 is further used to generate a preset scheduling algorithm according to the stops where the passengers board and the route taken by the passengers.

[0130] Furthermore, the operation information acquisition module 20 is further used to obtain the operation information of the route to be adjusted according to the preset scheduling algorithm, the arrival time of each stop, and the passenger flow distribution information of each stop.

[0131] Furthermore, the stop information acquisition module 10 is further used to generate a preset passenger flow time distribution model according to the passenger boarding times of each stop of the unadjusted route.

[0132] Further, the station information acquisition module 10 is further configured to acquire the passenger flow information of the route to be adjusted, and determine the passenger flow distribution information of each station of the route to be adjusted through a preset passenger flow time distribution model according to the passenger flow information.

[0133] Further, the station information acquisition module 10 is further configured to generate a preset route analysis model according to the arrival information and departure information of each station of the unadjusted route.

[0134] Further, the station information acquisition module 10 is further configured to obtain the passenger boarding 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 boarding time.

[0135] Further, the station information acquisition module 10 is further configured to acquire the trip duration, arrival running speed, departure running speed, and station information of different time periods of the unadjusted route, and determine the arrival information and departure information according to the trip duration, arrival running speed, departure running speed, and station information of different time periods.

[0136] Further, the station information acquisition module 10 is further configured to generate a preset route analysis model according to the arrival information and the departure information.

[0137] 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 unadjusted route.

[0138] Further, the route information adjustment module 30 is further configured to adjust the route to be adjusted according to the comparison result.

[0139] Other embodiments or specific implementation manners of the route adjustment device of the present invention may refer to the above method embodiments, and will not be described herein again.

[0140] It should be noted that in this article, the terms "including", "comprising" or any other variation thereof are intended to cover a non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or system. Without further limitation, an element defined by the phrase "including a..." does not exclude the existence of additional identical elements in the process, method, article or system including the element.

[0141] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments.

[0142] Through the description of the above embodiments, those skilled in the art can clearly understand that the above method of the embodiment can be implemented by means of software plus a necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as a Read Only Memory image (ROM) / Random Access Memory (RAM), magnetic disk, optical disc), and includes several instructions to enable a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in various embodiments of the present invention.

[0143] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied to other related technical fields, shall be included in the patent protection scope of the present invention by the same token.

Claims

1. A route adjustment method, characterized in that, The route adjustment method includes the following steps: Obtain the passenger flow information and station information of the route to be adjusted, and determine the passenger flow distribution information of each station on the route to be adjusted according to the passenger flow information through a preset passenger flow time distribution model; Obtain the operation information of the route to be adjusted according to a preset scheduling algorithm, the station information, and the passenger flow distribution information of each station; Adjust the route to be adjusted according to the operation information of the route to be adjusted; The step of obtaining the operation information of the route to be adjusted according to a preset scheduling algorithm, the station information, and the passenger flow distribution information of each station includes: Obtain the intervals between stations on the route to be adjusted from a station information database, and determine the interval ratios between stations; Determine the arrival time of each station according to the single-trip time of the route to be adjusted and the interval ratios; Obtain 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; The step of 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 includes: Determine the stations where passengers board according to the arrival and departure information of each station on the unadjusted route; Determine the route taken by passengers according to the passengers' card swiping data; Generate a preset scheduling algorithm according to the stations where passengers board and the route taken by passengers; Obtain 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.

2. The route adjustment method according to claim 1, characterized in that The step of determining the passenger flow distribution information of each station on the route to be adjusted according to the passenger flow information through a preset passenger flow time distribution model includes: Generate a preset passenger flow time distribution model according to the passengers' boarding times at each station on the unadjusted route; Obtain the passenger flow information of the route to be adjusted, and determine the passenger flow distribution information of each station on the route to be adjusted according to the passenger flow information through a preset passenger flow time distribution model.

3. The route adjustment method according to claim 2, wherein The step of generating a preset passenger flow time distribution model according to the passengers' boarding times at each station on the unadjusted route includes: Generate a preset route analysis model according to the arrival and departure information of each station on the unadjusted route; Obtain the passengers' boarding times at each station on the unadjusted route from the preset route analysis model, and generate a preset passenger flow time distribution model according to the passengers' boarding times.

4. The route adjustment method according to claim 3, characterized in that The step of generating a preset route analysis model according to the arrival and departure information of each station on the unadjusted route includes: Obtain the trip durations, arrival running speeds, departure running speeds, and station information of the unadjusted route at different time periods, and determine the arrival and departure information according to the trip durations, arrival running speeds, departure running speeds, and station information at different time periods; Generate a preset route analysis model according to the arrival and departure information.

5. The route adjustment method according to any one of claims 1 to 4, characterized in that The step of adjusting the route to be adjusted according to the operation information of the route to be adjusted includes: Compare the operation information of the route to be adjusted with the operation information of the unadjusted route; Adjust the route to be adjusted according to the comparison result.

6. A route adjustment device, characterized in that, The route adjustment device includes: a memory, a processor, and a route adjustment program stored on the memory and executable on the processor. When the route adjustment program is executed by the processor, it implements the steps of the route adjustment method according to any one of claims 1 to 5.

7. A storage medium, characterized in that, A route adjustment program is stored on the storage medium. When the route adjustment program is executed by a processor, it implements the steps of the route adjustment method according to any one of claims 1 to 5.

8. A route adjustment device, characterized in that, The route adjustment device includes: a station information acquisition module, an operation information acquisition module, and a route information adjustment module; The station information acquisition module is configured to acquire the passenger flow information and station information of the route to be adjusted, and determine the passenger flow distribution information of each station of the route to be adjusted through a preset passenger flow time distribution model according to the passenger flow information; The operation information acquisition module is configured to obtain the operation information of the route to be adjusted according to a preset scheduling algorithm, the station information, and the passenger flow distribution information of each station; The route information adjustment module is configured to adjust the route to be adjusted according to the operation information of the route to be adjusted; The operation information acquisition module is further configured to obtain the interval between each station of the route to be adjusted according to a station information database, and determine the interval ratio between each station; determine the arrival time of each station according to the one-way time of the route to be adjusted and the interval ratio; obtain 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; The operation information acquisition module is further configured to determine the station where the passenger boards according to the arrival information and departure information of each station of the unadjusted route; determine the route taken by the passenger according to the passenger's card swiping data; generate a preset scheduling algorithm according to the station where the passenger boards and the route taken by the passenger; obtain 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.

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