Road passenger transport information management method and system

By analyzing the peak time periods and supply and demand relationships of urban and rural passenger transport, the problem of traditional technologies failing to effectively consider the impact of urban and rural personnel mobility was solved, efficient management and reasonable scheduling of passenger transport information was achieved, and the effect of urban and rural transportation integration was improved.

CN120634148APending Publication Date: 2025-09-12CHINA DESIGN GROUP CO LTD
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Patent Information

Application Number
CN202510755995.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-07
Publication Date
2025-09-12

AI Technical Summary

Technical Problem

Traditional technologies fail to effectively consider the impact of the flow of people between urban and rural areas and the supply and demand of urban and rural transportation, resulting in unsatisfactory results after urban and rural transportation integration, poor passenger information management, and inability to carry out effective and reasonable passenger scheduling arrangements.

Method used

By obtaining historical passenger information of passenger vehicles, analyzing the peak time periods of urban and rural passenger transport, dividing the peak time periods of urban and rural passenger transport, analyzing the passenger flow trends and passenger volume, obtaining the rural passenger transport demand, analyzing the gathering of waiting crowds at stations, and comprehensively considering the urban and rural supply and demand relationship, passenger vehicles are classified and managed.

Benefits of technology

Clarify the characteristics of personnel flow between urban and rural areas, improve the efficiency of passenger information management, rationalize passenger dispatch, and improve the integration effect of urban and rural traffic information.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of cloud network integration, in particular to a road passenger transport information management method and system, and the method comprises the steps: analyzing the passenger transport peak condition of a passenger transport vehicle in one day, and dividing urban and rural passenger transport peak time periods; in the urban and rural passenger transport peak period, the passenger flow trend and the passenger flow volume of carriers of different passenger vehicles in different travels are analyzed, and the rural passenger transport demand degree is obtained; according to the rural passenger transport demand degree, the gathering condition of waiting crowds in the journey of different passenger vehicles at different stations is analyzed, and the rural peak transport demand degree of the stations is obtained; and according to the rural peak carrying demand degree of the site, comprehensively comparing the opposite states between the supply relationship of the cities and towns to the personnel flow and the demand relationship of the villages to the personnel flow, and then carrying out classified management on the historical passenger transport information. According to the invention, the management efficiency of passenger transport information is improved, and the rationality of passenger transport vehicle scheduling is improved.
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Description

Technical Field

[0001] The present invention relates to the field of cloud-network integration technology, and in particular to a road passenger transport information management method and system. Background Art

[0002] Carry out integrated urban and rural transportation processing, integrate rural and urban transportation into a unified transportation network structure, and effectively connect passenger information between rural and urban areas.

[0003] In the process of integrated urban and rural transportation, traditional technologies usually only consider the differences in various passenger transport indicators between urban and rural areas for integrated fusion analysis. In actual situations, various passenger transport indicators between urban and rural areas are mainly affected by the flow of people between urban and rural areas. Traditional technologies do not consider the impact of the flow of people between urban and rural areas on the supply and demand of urban and rural transportation, resulting in unsatisfactory results after traditional integration, poor management of passenger information, and inability to carry out effective and reasonable passenger transport scheduling arrangements. Summary of the Invention

[0004] The present invention provides a road passenger transport information management method and system to solve the existing problem: traditional technology does not take into account the impact of personnel mobility between urban and rural areas and urban and rural traffic supply and demand, resulting in unsatisfactory results after traditional integration, poor management of passenger transport information, and inability to carry out effective and reasonable passenger transport scheduling arrangements.

[0005] A road passenger transport information management method and system of the present invention adopts the following technical solutions:

[0006] The present invention proposes a road passenger transport information management method, which includes the following steps:

[0007] Obtaining a number of historical passenger transport information for each passenger vehicle during different trips within a day; the trip includes a number of stops; the historical passenger transport information includes departure time, origin station, stop time, number of people carried, number of people boarding the vehicle, and number of people getting off the vehicle;

[0008] Analyze the peak passenger traffic conditions of passenger vehicles within a day based on departure time, stop time, and number of passengers carried, and divide the urban and rural passenger peak time periods into different periods. During the urban and rural passenger peak time periods, analyze the passenger flow trends and passenger volume of different passenger vehicles in different trips based on the departure station, number of passengers boarding and disembarking, and determine the rural passenger transport demand of different passenger vehicles.

[0009] During the peak period of urban and rural passenger transport, based on the rural passenger transport demand, the concentration of waiting people at different stations in the itineraries of different passenger vehicles was analyzed to obtain the station-to-station rural peak transport demand for each station in the itineraries of different passenger vehicles. Based on the station-to-station rural peak transport demand, the opposing states between the supply relationship of urban areas to personnel mobility and the demand relationship of rural areas to personnel mobility were comprehensively compared to obtain the urban-rural supply and demand integration during the peak period of urban and rural passenger transport.

[0010] Based on the integration of urban and rural supply and demand, the historical passenger information of different passenger vehicles is classified and managed.

[0011] Preferably, the method for obtaining the urban and rural passenger transport peak time period is:

[0012] The trips with a passenger volume greater than a preset threshold value A1 are regarded as high-capacity trips of each passenger vehicle; all high-capacity trips of each passenger vehicle are obtained; the maximum time interval between the departure time and the stop time of each passenger vehicle in each high-capacity trip is regarded as the passenger transport time interval of each passenger vehicle in each high-capacity trip; and the union of all passenger transport time intervals is regarded as the urban and rural passenger transport peak time period.

[0013] Preferably, the method for obtaining the rural passenger transport demand is:

[0014] During the peak period of urban and rural passenger transport, based on the comparative differences in the number of people getting on and off passenger vehicles in different trips, the passenger flow loss content during the departure of passenger vehicles from different starting stations was analyzed and compared, and the passenger flow characteristic values ​​of different passenger vehicles in each trip were obtained; the trips with the starting station in the city were regarded as the rural trips of the passenger vehicles; the trips with the starting station in the countryside were regarded as the urban trips of the passenger vehicles; the proportion of the passenger flow characteristic values ​​between the rural trips and the urban trips of different passenger vehicles was compared, and the rural passenger transport demand of different passenger vehicles was obtained.

[0015] Preferably, the method for obtaining the passenger flow direction characteristic value is:

[0016] For any passenger vehicle, the total difference between the number of passengers getting on and off the vehicle at different trips is calculated, and combined with the number of passengers carried by the vehicle at different trips, the passenger flow characteristic value of the vehicle in each trip is obtained.

[0017] Preferably, the method for obtaining the rural peak transport demand of the station is:

[0018] During the peak period of urban and rural passenger transport, for any station in any trip of any passenger vehicle, based on the rural passenger transport demand, the demand content of the people waiting at the station flowing to the countryside when the passenger vehicle stops at the station is analyzed to obtain the station-rural personnel concentration of the station; the exchange content of the number of people getting on and off the passenger vehicle when it stops at the station is compared to obtain the station-rural personnel flow intensity of the station; the ranking position of the station in the corresponding trip is used as the rural passenger transport route extension of the station; the product of the station-rural personnel concentration, the station personnel flow intensity and the rural passenger transport route extension is used as the station-rural peak transport demand.

[0019] Preferably, the method for obtaining the rural population concentration of the site is:

[0020] The number of passengers on board when the passenger vehicle stops at the station is greater than the number of people getting off the vehicle, which is taken as the number of people waiting at the station; the rural population concentration of the station is obtained based on the product of the rural passenger transport demand and the number of people waiting at the station.

[0021] Preferably, the method for obtaining the site personnel flow intensity is:

[0022] The difference between the number of passengers getting on and off a passenger vehicle when it stops at a station is taken as the personnel flow intensity of the station.

[0023] Preferably, the method for obtaining the integration of urban and rural supply and demand is:

[0024] During the peak period of urban and rural passenger transport, for any passenger vehicle, the peak rural transport demand of the passenger vehicle at different stations during different trips is comprehensively considered, and the balance of personnel flow between the trips of passenger vehicles departing from different starting stations is analyzed to obtain the peak personnel flow imbalance of passenger vehicles; according to the peak personnel flow imbalance, different passenger vehicles are divided into urban over-supply passenger vehicles and rural over-demand passenger vehicles; the number ratio between urban over-supply passenger vehicles and rural over-demand passenger vehicles is compared to obtain the urban-rural supply and demand integration during the peak period of urban and rural passenger transport.

[0025] Preferably, the method for obtaining the imbalance of peak personnel flow is:

[0026] For any trip of a passenger vehicle, the average of the rural peak carrying demand of all stations within the trip is used as the rural stop demand of the passenger vehicle within the trip; and based on the rural stop demand of the passenger vehicle within the trip, the urban stop demand of the passenger vehicle within the trip is obtained; the ratio of the rural stop demand to the urban stop demand is used as the peak personnel flow level difference value of the passenger vehicle within the trip; the average of the peak personnel flow level difference values ​​of the passenger vehicle in all trips is used as the peak personnel flow imbalance of the passenger vehicle.

[0027] The present invention also proposes a road passenger transport information management system, comprising a memory and a processor, wherein the processor executes a computer program stored in the memory to implement the steps of the above-mentioned road passenger transport information management method.

[0028] The beneficial effects of the technical solution of the present invention are as follows: by analyzing the passenger traffic peak situation of passenger vehicles in a day, the urban and rural passenger peak time periods are divided; and within the urban and rural passenger peak time periods, the passenger flow direction and passenger volume of different passenger vehicles in different trips are analyzed to obtain the rural passenger demand degree; wherein the rural passenger demand degree is used to describe the flow direction of personnel from the starting station to the terminal station in different trips of passenger vehicles, so that the traffic flow direction between towns and villages can be characterized, and the flow direction can be observed more easily; within the urban and rural passenger peak time periods, the gathering of waiting people at different stations in the trips of different passenger vehicles is analyzed according to the rural passenger demand degree, and the rural peak carrying demand degree of the station is obtained; wherein the rural peak carrying demand degree of the station is used to describe the personnel carrying pressure when the passenger vehicle passes through different stations in the trip, so that different stations have different requirements for the passenger vehicle in a single trip The impact of personnel flow on the circulation is more obvious; according to the peak transportation demand of the station and the countryside, the opposing state of the supply relationship of the urban area to the personnel flow and the demand relationship of the countryside to the personnel flow is comprehensively compared, and the urban-rural supply and demand integration during the urban-rural passenger peak period is obtained; the urban-rural supply and demand integration is used to describe the balanced state of personnel flow between towns and villages, making the focus of urban and rural traffic demand for urban and rural traffic between urban and rural areas clearer; the present invention obtains the urban-rural supply and demand integration by analyzing the departure strategy of passenger vehicles during the peak period of passenger flow and the supply balance relationship of different personnel flows between urban and rural areas, thereby classifying and managing the historical passenger information of different passenger vehicles, better separating the passenger information that is not well integrated with urban and rural traffic information, and marking it to facilitate subsequent passenger scheduling, thereby improving the management efficiency of passenger information and the rationality of passenger vehicle scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0030] Figure 1 The present invention is a flowchart of the steps of a road passenger transport information management method. DETAILED DESCRIPTION

[0031] To further illustrate the technical means and effectiveness of the present invention in achieving its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail a road passenger transport information management method and system according to the present invention, including its specific implementation, structure, features, and effectiveness. In the following description, references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0032] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0033] The specific scheme of a road passenger transport information management method and system provided by the present invention is described in detail below with reference to the accompanying drawings.

[0034] See also Figure 1 , which shows a flowchart of a road passenger transport information management method provided by an embodiment of the present invention, the method comprising the following steps:

[0035] Step S001: Obtain a number of historical passenger transport information of each passenger vehicle in different trips within a day; the trip includes a number of stops; the historical passenger transport information includes departure time, starting station, stop time, number of people carried, number of people boarding, and number of people getting off.

[0036] It should be noted that in the process of integrated urban and rural transportation, traditional technologies usually only consider the differences in various passenger transport indicators between urban and rural areas for integrated fusion analysis. In actual situations, various passenger transport indicators between urban and rural areas are mainly affected by the flow of people between urban and rural areas. Traditional technologies do not consider the impact of the flow of people between urban and rural areas on the supply and demand of urban and rural transportation, resulting in unsatisfactory results after traditional integration, poor management of passenger information, and inability to carry out effective and reasonable passenger transport scheduling arrangements.

[0037] In a specific implementation of an embodiment of the present invention, the method for obtaining historical passenger information is as follows: a number of historical passenger information of each passenger vehicle in each trip in the past day is collected from the passenger transportation platform of the urban and rural passenger station; for any passenger vehicle, the passenger vehicle includes a departure time, a starting station, the parking time at each station, the number of people getting on and off when stopping at each station, and a number of people carried in each trip; among which the departure time, starting station, parking time, number of people getting on, number of people getting off, and number of people carried are all historical passenger information.

[0038] It should be noted that the passenger vehicles selected in this embodiment are passenger vehicles with departure records in the past day; in addition, the number of passengers is the number of all people who have boarded each passenger vehicle in a single trip.

[0039] At this point, the above method has been used to obtain some historical passenger transport information of each passenger vehicle in different trips within a day; the trip includes several stops; the historical passenger transport information includes departure time, starting station, stop time, number of people carried, number of people boarding, and number of people getting off.

[0040] Step S002: Analyze the passenger traffic peak situation of passenger vehicles in a day according to the departure time, stop time and the number of people carried, and divide the urban and rural passenger peak time periods into the same day; within the urban and rural passenger peak time periods, analyze the passenger flow trends and passenger volume of different passenger vehicles in different journeys according to the departure station, the number of people getting on and off the vehicle, and obtain the rural passenger demand of different passenger vehicles.

[0041] It should be noted that for passenger vehicles at urban and rural passenger stations, there are mainly two directions for passenger transport, one of which is the direction from the urban and rural passenger station to the rural terminal, and the other is the direction from the rural terminal to the urban and rural passenger station; within a certain time range, people will have different riding needs for different directions due to various factors, for example: some people living in rural areas need to go to work in towns during the day and need to go home to rest at night, so these people need passenger vehicles departing from the rural terminal to the urban and rural passenger station during the day; and passenger vehicles departing from the urban and rural passenger station to the rural terminal at night. Therefore, we can analyze the passenger traffic peak situation of passenger vehicles in a day according to the departure time, stop time and the number of people carried, and divide the urban and rural passenger peak time periods into three periods in a day. During the urban and rural passenger peak time periods, we can analyze the passenger flow trends and passenger volume of different passenger vehicles in different journeys according to the starting station, the number of people getting on and off the vehicle, and obtain the rural passenger demand of different passenger vehicles.

[0042] Preferably, in some implementations of the present invention, the method for obtaining the urban and rural passenger transport peak time period is as follows: taking the trips with a passenger volume greater than a preset threshold value A1 as the high-capacity trips of each passenger vehicle; obtaining all high-capacity trips of each passenger vehicle; taking the maximum time interval between the departure time and the parking time of each passenger vehicle in each high-capacity trip as the passenger transport time interval of each passenger vehicle in each high-capacity trip; and taking the union of all passenger transport time intervals as the urban and rural passenger transport peak time period. The specific process is as follows:

[0043] A passenger threshold A1 is preset. Taking any passenger vehicle as an example, among all trips of the passenger vehicle, trips with a passenger count greater than A1 are considered high-capacity trips of the passenger vehicle. All high-capacity trips of the passenger vehicle are obtained. The maximum time interval between the departure time and the stop time of the passenger vehicle in each high-capacity trip is used as the passenger travel time interval of the passenger vehicle in each high-capacity trip. The passenger travel time intervals of all passenger vehicles in each high-capacity trip are obtained. Each passenger vehicle may correspond to multiple high-capacity trips. In addition, this embodiment uses A1 = 30 as an example for description, and this embodiment does not specifically limit it. A1 can be determined based on specific implementation circumstances.

[0044] Furthermore, the union of all passenger transport time intervals is taken as the urban and rural passenger transport peak time period.

[0045] Preferably, in some implementations of the present invention, the method for obtaining the rural passenger transport demand is as follows: during the peak period of urban and rural passenger transport, based on the comparative differences in the number of people getting on and off passenger vehicles in different trips, analyze and compare the passenger flow loss content during the departure of passenger vehicles from different starting stations, and obtain the passenger flow characteristic values ​​of different passenger vehicles in each trip; take the trip starting in the city as the rural trip of the passenger vehicle; take the trip starting in the countryside as the urban trip of the passenger vehicle; compare the proportion of passenger flow characteristic values ​​between rural trips and urban trips of different passenger vehicles, and obtain the rural passenger transport demand of different passenger vehicles. The specific process is as follows:

[0046] Preferably, in some implementations of the present invention, the method for obtaining the passenger flow direction characteristic value is as follows: for any passenger vehicle, the total difference between the number of passengers boarding and disembarking the passenger vehicle at different trips is calculated, and the passenger flow direction characteristic value of the passenger vehicle at each trip is obtained by combining the number of passengers carried by the passenger vehicle at different trips. The specific process is as follows:

[0047] Passenger vehicles whose high-capacity trips fall within the urban and rural passenger peak periods are considered peak passenger vehicles. As an example, the passenger flow direction characteristic value can be calculated using the following formula:

[0048] γ i,j =(|a i,j -a1 i,j |+β)×N i,j

[0049] Where, γ i,j represents the passenger flow characteristic value of the i-th peak passenger vehicle in the j-th high-load trip; a i,j represents the cumulative sum of the number of passengers boarding the i-th peak passenger vehicle during the j-th high-capacity trip; a1 i,j N represents the cumulative number of people who get off the i-th peak passenger vehicle in the j-th high-capacity trip; i,j represents the number of passengers carried by the i-th peak passenger vehicle in the j-th high-capacity trip; β represents a preset hyperparameter. In this embodiment, β is preset to 1 to prevent γ i,j is 0; || means taking the absolute value.

[0050] It should be noted that the greater the demand for rural passenger transport, the more obvious the difference in the number of people getting on and off the peak-time passenger transport vehicle in the corresponding high-capacity trip, the larger the number of people carried, and the more obvious the direction of personnel flow from the starting station to the terminal station in the peak-time passenger transport vehicle in the corresponding high-capacity trip.

[0051] Furthermore, among all peak-time passenger transport vehicles with high passenger capacity, the high-capacity trips with starting points in urban areas are regarded as the peak-time passenger transport vehicles’ rural-bound trips; and the trips with starting points in rural areas are regarded as the peak-time passenger transport vehicles’ urban-bound trips. As an example, the rural passenger transport demand can be calculated using the following formula:

[0052]

[0053] Where Q i N1 represents the rural passenger transport demand of the i-th peak passenger vehicle; i represents the total number of rural trips of the i-th peak passenger vehicle; γ1 i,n1 N2 represents the passenger flow characteristic value of the i-th peak passenger vehicle in the n1-th rural direction trip; i represents the total number of urban trips of passenger vehicles during the i-th peak period; γ2 i,n2 represents the passenger flow characteristic value of the i-th peak passenger vehicle in the n2-th town-bound journey; β1 represents a preset hyperparameter. In this embodiment, β1=1 is preset to prevent the denominator from being 0; norm() represents a normalization function, which normalizes the rural passenger demand of all peak passenger vehicles.

[0054] It should be noted that the greater the demand for rural passenger transport, the more frequently the corresponding peak passenger transport vehicles are used to meet the passenger transport needs in rural areas.

[0055] At this point, the rural passenger transport demand for different peak passenger vehicles is obtained through the above method.

[0056] Step S003: During the peak period of urban and rural passenger transport, based on the rural passenger transport demand, analyze the gathering of waiting crowds at different stations in the itineraries of different passenger vehicles, and obtain the rural peak transport demand of each station in the itineraries of different passenger vehicles; based on the rural peak transport demand of the station, comprehensively compare the opposing states between the supply relationship of towns to personnel flow and the demand relationship of villages to personnel flow, and obtain the urban and rural supply and demand integrity during the peak period of urban and rural passenger transport.

[0057] It should be noted that during passenger transport, passenger vehicles pick up and drop off passengers at various stops along the way, fulfilling passenger transport needs. During peak urban-rural passenger transport periods, overall passenger mobility increases significantly. These passengers choose stops based on route distance and the number of people already waiting. However, the distribution of stops along a journey is typically not uniform, but rather based on the location of villages. Individual passengers have different boarding and alighting needs at different stops due to factors such as their residential location. Therefore, during peak urban-rural passenger transport periods, based on rural passenger transport demand, we can analyze the concentration of waiting people at different stops along the journeys of different passenger vehicles and derive the rural peak transport demand for each stop along the journeys of different passenger vehicles.

[0058] Preferably, in some implementations of the present invention, the method for obtaining the rural peak transport demand of a station is as follows: during the peak period of urban and rural passenger transport, for any station in any trip of any passenger vehicle, based on the rural passenger transport demand, analyze the demand content of the flow of people waiting at the station to the countryside when the passenger vehicle stops at the station, and obtain the rural population concentration of the station; compare the number of people exchanged when the passenger vehicle gets on and off when it stops at the station, and obtain the station personnel flow intensity of the station; use the station ranking position in the corresponding trip as the rural passenger transport route extension of the station; use the product of the rural population concentration of the station, the personnel flow intensity of the station, and the rural passenger transport route extension as the rural peak transport demand of the station. The specific process is as follows:

[0059] Preferably, in some implementations of the present invention, the method for obtaining the rural population concentration of a station is as follows: the number of passengers on board a passenger vehicle when it stops is greater than the number of passengers getting off the vehicle, which is used as the number of passengers waiting at the station; and the rural population concentration of the station is obtained by multiplying the rural passenger transport demand by the number of passengers waiting at the station. The specific process is as follows:

[0060] The number of people waiting at each station when the i-th peak passenger vehicle stops at each station during the j-th high-capacity trip is the number of people getting on the bus more than the number of people getting off the bus. As an example, the rural population concentration of a station can be calculated using the following formula:

[0061] W i,j,z =Q i ×M i,j,z

[0062] Where W i,j,z represents the rural population concentration of the zth station of the i-th peak passenger vehicle in the j-th high-load trip; Q i represents the rural passenger transport demand of the i-th peak passenger vehicle; M i,j,z It represents the number of people who can wait at the zth stop of the i-th peak passenger vehicle in the j-th high-capacity trip.

[0063] It should be noted that the greater the concentration of rural population at a station, the more likely it is that the zth station will attract people to gather when the i-th peak passenger vehicle is traveling on the j-th high-load trip.

[0064] Preferably, in some implementations of the present invention, the method for obtaining the personnel flow intensity at a station is to use the difference between the number of passengers boarding and the number of passengers getting off when a passenger vehicle stops at a station as the personnel flow intensity at the station. The specific process is as follows:

[0065] The absolute value of the difference between the number of people getting on and off the i-th peak passenger vehicle when it stops at each station in the j-th high-capacity trip is used as the personnel flow intensity at each station.

[0066] Furthermore, the number of all stops of the i-th peak passenger vehicle in the j-th high-capacity trip is taken as the total number of trip stops; taking any stop in the j-th high-capacity trip of the i-th peak passenger vehicle as an example, the ratio of the position number of the stop in the j-th high-capacity trip to the total number of trip stops is taken as the rural passenger route extension of the stop.

[0067] Furthermore, the product of the rural population concentration at the station, the personnel flow intensity at the station, and the rural passenger route extension is used as the station-to-rural peak transport demand for the station. The station-to-rural peak transport demand for each station is obtained.

[0068] It should be noted that if the rural peak transport demand of a station is greater, it means that the waiting passengers at the corresponding station are more willing to take passenger transportation within the time range of the high-capacity trip, which reflects that the corresponding station needs to arrange passenger vehicles to stop and transport people.

[0069] It should be noted that in the process of integrating urban and rural transportation, ideally, the system platform can automatically analyze the demand for personnel flow based on the flow of people between urban and rural areas, and intelligently classify and manage the corresponding passenger information. This allows for the subsequent effective dispatch of passenger vehicles, balancing the supply and demand of personnel, and achieving integrated urban and rural transportation. Therefore, based on the peak transportation demand of rural areas at stations, the opposing states between the supply relationship of urban areas to personnel flow and the demand relationship of rural areas to personnel flow can be comprehensively compared to obtain the integration of urban and rural supply and demand during peak periods of urban and rural passenger transportation.

[0070] Preferably, in some implementations of the embodiments of the present invention, the method for obtaining the integration of urban and rural supply and demand is as follows: during the peak period of urban and rural passenger transport, for any passenger vehicle, the rural peak carrying demand of the passenger vehicle when passing through different stations in different trips is integrated, and the balance of personnel flow between the trips of passenger vehicles departing from different departure stations is analyzed to obtain the peak personnel flow imbalance of passenger vehicles; according to the peak personnel flow imbalance, different passenger vehicles are divided into urban over-supply passenger vehicles and rural over-demand passenger vehicles; the number ratio between urban over-supply passenger vehicles and rural over-demand passenger vehicles is compared to obtain the integration of urban and rural supply and demand during the peak period of urban and rural passenger transport. The specific process is as follows:

[0071] Preferably, in some implementations of the embodiments of the present invention, the method for obtaining the imbalance of peak personnel flow is as follows: for any trip of a passenger vehicle, the average of the rural peak carrying demand of all stations of the passenger vehicle in the trip is used as the rural stop demand of the passenger vehicle in the trip; and based on the rural stop demand of the passenger vehicle in the trip, the urban stop demand of the passenger vehicle in the trip is obtained; the ratio of the rural stop demand to the urban stop demand is used as the peak personnel flow level difference value of the passenger vehicle in the trip; the average of the peak personnel flow level difference values ​​of the passenger vehicle in all trips is used as the peak personnel flow imbalance of the passenger vehicle. The specific process is as follows:

[0072] Taking any peak passenger vehicle in any high-capacity trip as an example, the normalized value of the mean of the rural peak load demand of all stations in the high-capacity trip is used as the rural stop demand of the peak passenger vehicle in the high-capacity trip.

[0073] It should be noted that this embodiment defaults to using the norm() function as an example for normalization processing, where the normalization function can be determined according to the specific implementation situation. The normalization object here is the rural stop demand of all peak passenger vehicles in all high-load trips.

[0074] As an example, the peak flow imbalance can be calculated using the following formula:

[0075]

[0076] Where C i represents the imbalance of peak passenger flow of the i-th peak passenger vehicle; J i represents the number of all high-load trips of the i-th peak passenger vehicle; y i,j represents the demand for the i-th peak passenger vehicle to stop in the j-th high-load rural area; 1-y i,j It represents the demand for the i-th peak passenger vehicle to stop at the j-th high-load trip town; It represents the difference in peak passenger flow level of the i-th peak passenger vehicle in the j-th high-load trip; || represents the absolute value.

[0077] It should be noted that the greater the imbalance in peak personnel flow, the greater the difference in passenger flow between going to the countryside and going to towns when the corresponding peak passenger vehicles transport passengers during the peak period of urban and rural passenger transport, which reflects that the corresponding peak passenger vehicles have greater pressure to transport passengers in one direction under the corresponding itinerary.

[0078] Furthermore, a peak personnel flow imbalance threshold C1 is preset. Taking any peak passenger vehicle as an example, if the peak personnel flow imbalance is greater than C1, and If the peak passenger vehicle is negative, then the peak passenger vehicle will be used as a rural over-demand passenger vehicle; if the peak personnel flow imbalance is greater than C1, and If C1 is a positive number, then the peak passenger vehicle is considered an oversupply passenger vehicle in the urban area. Obtain all oversupply passenger vehicles in the urban area and all overdemand passenger vehicles in the rural area. The inversely proportional normalized value of the absolute difference between the total number of overdemand passenger vehicles in the rural area and the total number of oversupply passenger vehicles in the urban area is used as the urban-rural supply and demand integration during the peak period of urban-rural passenger transport. This embodiment uses C1 = 0.5 as an example, which is not specifically limited in this embodiment. C1 can be determined based on specific implementation circumstances.

[0079] It is particularly noted that the embodiment uses the exp(-x) model to present the inverse proportional relationship and normalization processing, x is the input of the model, and the implementer can select the inverse proportional function and normalization function according to actual conditions.

[0080] What needs to be explained is that the greater the integration of urban and rural supply and demand, the more balanced the flow of people between towns and villages during the peak period of urban and rural passenger transport, which means that the existing departure arrangements of passenger vehicles during the peak period of urban and rural passenger transport do not need to adjust the departure strategy.

[0081] At this point, the above method has been used to obtain the integration of urban and rural supply and demand during the peak period of urban and rural passenger transport.

[0082] Step S004: Based on the integration of urban and rural supply and demand, historical passenger transport information of different passenger vehicles is classified and managed.

[0083] In a specific implementation of the embodiment of the present invention, the specific process of classifying and managing historical passenger transport information of different passenger transport vehicles based on the integration of urban and rural supply and demand is as follows:

[0084] A threshold value G1 of urban-rural supply-demand integration is preset; if the urban-rural supply-demand integration during the urban-rural passenger transport peak period is greater than G1, then the dispatch strategies of different passenger vehicles during the urban-rural passenger transport peak period are saved and marked as historical urban-rural integrated available dispatch strategies, and stored; if the urban-rural supply-demand integration during the urban-rural passenger transport peak period is less than or equal to G1, if the total number of rural over-demand passenger vehicles during the urban-rural passenger transport peak period is greater than the total number of urban over-supply passenger vehicles, then it is marked as a rural over-demand dispatch strategy and stored; if the total number of rural over-demand passenger vehicles during the urban-rural passenger transport peak period is less than the total number of urban over-supply passenger vehicles, then it is marked as a rural over-supply dispatch strategy and stored. This embodiment is described using G1=0.6 as an example, and this embodiment is not specifically limited. G1 can be determined according to specific implementation circumstances.

[0085] Through the above steps, a road passenger transport information management method is completed.

[0086] Another embodiment of the present invention provides a road passenger transport information management system, which includes a memory and a processor. When the processor executes the computer program stored in the memory, it performs steps S001 to S004 of the above method.

[0087] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A road passenger transport information management method, characterized in that: The method comprises the following steps: Obtaining a number of historical passenger transport information for each passenger vehicle during different trips within a day; the trip includes a number of stops; the historical passenger transport information includes departure time, origin station, stop time, number of people carried, number of people boarding the vehicle, and number of people getting off the vehicle; Analyze the peak passenger traffic conditions of passenger vehicles within a day based on departure time, stop time, and number of passengers carried, and divide the urban and rural passenger peak time periods into different periods. During the urban and rural passenger peak time periods, analyze the passenger flow trends and passenger volume of different passenger vehicles in different trips based on the departure station, number of passengers boarding and disembarking, and determine the rural passenger transport demand of different passenger vehicles. During the peak period of urban and rural passenger transport, based on the rural passenger transport demand, the concentration of waiting people at different stations in the itineraries of different passenger vehicles was analyzed to obtain the station-to-station rural peak transport demand for each station in the itineraries of different passenger vehicles. Based on the station-to-station rural peak transport demand, the opposing states between the supply relationship of urban areas to personnel mobility and the demand relationship of rural areas to personnel mobility were comprehensively compared to obtain the urban-rural supply and demand integration during the peak period of urban and rural passenger transport. Based on the integration of urban and rural supply and demand, the historical passenger information of different passenger vehicles is classified and managed.

2. A road passenger transport information management method according to claim 1, characterized in that: The method for obtaining the urban and rural passenger transport peak time period is: The trips with a passenger volume greater than a preset threshold value A1 are regarded as high-capacity trips of each passenger vehicle; all high-capacity trips of each passenger vehicle are obtained; the maximum time interval between the departure time and the stop time of each passenger vehicle in each high-capacity trip is regarded as the passenger transport time interval of each passenger vehicle in each high-capacity trip; and the union of all passenger transport time intervals is regarded as the urban and rural passenger transport peak time period.

3. A road passenger transport information management method according to claim 1, characterized in that: The method for obtaining the rural passenger transport demand is as follows: During the peak period of urban and rural passenger transport, based on the comparative differences in the number of people getting on and off passenger vehicles in different trips, the passenger flow loss content during the departure of passenger vehicles from different starting stations was analyzed and compared, and the passenger flow characteristic values ​​of different passenger vehicles in each trip were obtained; the trips with the starting station in the city were regarded as the rural trips of the passenger vehicles; the trips with the starting station in the countryside were regarded as the urban trips of the passenger vehicles; the proportion of the passenger flow characteristic values ​​between the rural trips and the urban trips of different passenger vehicles was compared, and the rural passenger transport demand of different passenger vehicles was obtained.

4. A road passenger transport information management method according to claim 3, characterized in that: The method for obtaining the passenger flow direction characteristic value is: For any passenger vehicle, the total difference between the number of passengers getting on and off the vehicle at different trips is calculated, and combined with the number of passengers carried by the vehicle at different trips, the passenger flow characteristic value of the vehicle in each trip is obtained.

5. A road passenger transport information management method according to claim 1, characterized in that: The method for obtaining the rural peak transport demand of the station is as follows: During the peak period of urban and rural passenger transport, for any station in any trip of any passenger vehicle, based on the rural passenger transport demand, the demand content of the people waiting at the station flowing to the countryside when the passenger vehicle stops at the station is analyzed to obtain the station-rural personnel concentration of the station; the exchange content of the number of people getting on and off the passenger vehicle when it stops at the station is compared to obtain the station-rural personnel flow intensity of the station; the ranking position of the station in the corresponding trip is used as the rural passenger transport route extension of the station; the product of the station-rural personnel concentration, the station personnel flow intensity and the rural passenger transport route extension is used as the station-rural peak transport demand.

6. A road passenger transport information management method according to claim 5, characterized in that: The method for obtaining the rural population concentration of the site is: The number of passengers on board when the passenger vehicle stops at the station is greater than the number of people getting off the vehicle, which is taken as the number of people waiting at the station; the rural population concentration of the station is obtained based on the product of the rural passenger transport demand and the number of people waiting at the station.

7. A road passenger transport information management method according to claim 5, characterized in that: The method for obtaining the personnel flow intensity of the site is: The difference between the number of passengers getting on and off a passenger vehicle when it stops at a station is taken as the personnel flow intensity of the station.

8. A road passenger transport information management method according to claim 1, characterized in that: The method for obtaining the integration of urban and rural supply and demand is: During the peak period of urban and rural passenger transport, for any passenger vehicle, the peak rural transport demand of the passenger vehicle at different stations during different trips is comprehensively considered, and the balance of personnel flow between the trips of passenger vehicles departing from different starting stations is analyzed to obtain the peak personnel flow imbalance of passenger vehicles; according to the peak personnel flow imbalance, different passenger vehicles are divided into urban over-supply passenger vehicles and rural over-demand passenger vehicles; the number ratio between urban over-supply passenger vehicles and rural over-demand passenger vehicles is compared to obtain the urban-rural supply and demand integration during the peak period of urban and rural passenger transport.

9. A road passenger transport information management method according to claim 8, characterized in that: The method for obtaining the imbalance of peak personnel flow is as follows: For any trip of a passenger vehicle, the average of the rural peak carrying demand of all stations within the trip is used as the rural stop demand of the passenger vehicle within the trip; and based on the rural stop demand of the passenger vehicle within the trip, the urban stop demand of the passenger vehicle within the trip is obtained; the ratio of the rural stop demand to the urban stop demand is used as the peak personnel flow level difference value of the passenger vehicle within the trip; the average of the peak personnel flow level difference values ​​of the passenger vehicle in all trips is used as the peak personnel flow imbalance of the passenger vehicle.

10. A road passenger transport information management system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the computer program is executed by a processor, the steps of a road passenger transport information management method as described in any one of claims 1 to 9 are implemented.

Citation Information

Patent Citations

  • Rural passenger transportation dispatching system and achievement method thereof

    CN106205116A

  • Method and system for managing rural passenger transportation based on number of passengers and travel

    CN107978145A

  • Method for temporarily allocating traffic resources based on cloud computing technology

    CN111985768A

  • Bus scheduling mode based on unplanned mode

    CN112233450A

  • Urban and rural passenger transport line network optimization system based on intelligent evaluation and scheduling

    CN119863005A