A bus intelligent dispatching system

Abstract

The present invention discloses a bus intelligent dispatching system, which relates to the technical field of bus dispatching, and includes: an information collection module, a dispatching management module, a dispatching evaluation module and an early warning dispatching module, wherein; the information collection module is used to collect environmental characteristic information and vehicle characteristic information in real time, and send the environmental characteristic information and vehicle characteristic information to the dispatching evaluation module, wherein the environmental characteristic information includes: road condition information and planned route information; the vehicle characteristic information includes: vehicle condition information, current vehicle position information and passenger flow. The present invention makes accurate predictions for the actual conditions of route nodes, thereby formulating reasonable dispatching plans, optimizing dispatching and departure times, making flexible and efficient dispatching decisions, meeting the needs of various dispatching strategies, and timely responding to emergency dispatching, and being able to adjust routes and trips in a timely manner, thereby improving the utilization rate of bus resources.

Description

Technical Field

[0001] The present invention relates to the technical field of public transportation dispatching, and in particular to a public transportation intelligent dispatching system. Background Art

[0002] Due to the volatility of passenger flow at bus stops and the uncertainty of the operating environment, such as road congestion, bad weather, vehicle failures, etc., bus operation services are often delayed and cannot be executed as planned, thus affecting the quality of bus services. Reasonable real-time adjustment of departure time can reduce the negative effects of these uncertain interferences. To this end, many studies are devoted to using control strategies for dynamic scheduling. It can be mainly divided into offline scheduling and real-time scheduling. Offline scheduling mainly designs a slack time for each one-way trip to compensate for late arrival. However, due to the randomness of interference, even if a larger slack time is set in advance, it cannot be guaranteed that each one-way trip will arrive on time. Real-time scheduling control strategies are divided into in-station strategies (skipping stations and waiting in stations) and inter-station strategies (overtaking and signal light priority). Because of their simplicity and effectiveness, they are often more popular.

[0003] However, at present, there are the following main defects in bus dispatching:

[0004] 1) Inaccurate or untimely information: The acquisition and analysis of real-time information such as road conditions and passenger flow is not accurate enough, resulting in scheduling decision errors. For example, temporary traffic control occurred on a certain section of road, but the dispatcher failed to obtain this information in time and still dispatched the vehicle according to the original plan, causing traffic congestion and delays. At the same time, the information on sudden vehicle failures is not transmitted in time, affecting subsequent scheduling arrangements.

[0005] 2) Single dispatching strategy: relying only on a fixed departure schedule, lacking flexibility. No effective adjustment of trains was made during peak and off-peak hours, resulting in crowded vehicles during peak hours and idle vehicles during off-peak hours. The difference in passenger flow on different routes was not fully considered, and the resource allocation for popular and unpopular routes was unreasonable.

[0006] 3) Lack of intelligent means: Dispatching mainly relies on manual experience, which is inefficient and prone to errors. For example, there may be large errors when manually judging passenger flow, making it impossible to make accurate predictions and optimize dispatching.

[0007] 4) Insufficient emergency response capabilities: In the face of sudden severe weather, major traffic accidents and other situations, there is a lack of effective emergency dispatch plans and an inability to adjust routes and train schedules in a timely manner.

[0008] Currently, no effective solution has been proposed for the problems in the related technologies. Summary of the invention

[0009] In view of the problems in the related technology, the present invention proposes a bus intelligent dispatching system to overcome the above-mentioned technical problems existing in the existing related technology.

[0010] The technical solution of the present invention is achieved in this way:

[0011] A public transportation intelligent dispatching system includes: an information collection module, a dispatching management module, a dispatching evaluation module and an early warning dispatching module, wherein;

[0012] The information collection module is used to collect environmental characteristic information and vehicle characteristic information in real time, and send the environmental characteristic information and vehicle characteristic information to the dispatch evaluation module, wherein the environmental characteristic information includes: road condition information and planned route information; the vehicle characteristic information includes: vehicle condition information, current vehicle location information and passenger flow;

[0013] The dispatch management module is used to obtain several items of standard passenger transport data of the current planned route according to the planned route information, wherein the several items of standard road data include: standard road conditions, standard vehicle conditions, standard passenger flow and standard time;

[0014] The scheduling evaluation module is used to obtain a number of route nodes according to the planned route information, and each time a vehicle arrives at a route node, based on the arrival time of the vehicle between the current route node and the previous route node, combined with a number of standard passenger transport data, evaluate the scheduling value of the vehicle when it arrives at the next route node;

[0015] The early warning dispatch module is used to dispatch vehicles according to the comparison between the dispatch value and the corresponding preset standard value.

[0016] Furthermore, it also includes:

[0017] Whenever a vehicle arrives at a route node, it is determined whether the arrival time exceeds the standard time, which includes the following steps:

[0018] If the standard time is exceeded, the dispatch value of the vehicle when it arrives at the next route node is evaluated based on the timeout duration and several abnormal factors between the current route node and the previous route node, wherein the abnormal factors include: abnormal road conditions, abnormal vehicle conditions and abnormal passenger flow;

[0019] If the standard time is not exceeded, the scheduling value of the vehicle when it arrives at the next route node is evaluated based on several abnormal factors between the current route node and the previous route node.

[0020] Further, evaluating the dispatch value when the vehicle arrives at the next route node includes the following steps:

[0021] If the arrival time exceeds the standard time, the scheduling value is obtained after dimensionless processing of the overtime duration, abnormal road conditions, abnormal vehicle conditions and abnormal passenger flow, which is expressed as:

[0022] GD=α1*CS+α2*YL+α3*YC+α4*YK;

[0023] Among them, GD is the dispatch value, CS is the timeout duration, YL is the abnormal road condition, YC is the abnormal vehicle condition, YK is the abnormal passenger flow, and α1, α2, α3 and α4 are all proportional coefficients.

[0024] Furthermore, evaluating the dispatch value when the vehicle arrives at the next route node also includes the following steps:

[0025] If the arrival time does not exceed the standard time, the scheduling value is obtained after dimensionless processing of abnormal road conditions, abnormal vehicle conditions and abnormal passenger flow, which is expressed as:

[0026] GD=β1*YL+β2*YC+β3*YK;

[0027] Among them, GD is the dispatch value, YL is the abnormal road condition, YC is the abnormal vehicle condition, YK is the abnormal passenger flow, and β1, β2 and β3 are all proportional coefficients.

[0028] Furthermore, it also includes:

[0029] Obtain the dispatch value corresponding to each route node reached by the vehicle, and obtain the insurance rate of the vehicle completing all route nodes according to the planned route information, and perform vehicle dispatch according to the comparison between the insurance rate and the preset range value, and the insurance rate is expressed as:

[0030] BX=(GD1+GD2+GDn) / (GF1+GF2+GFn)×100%

[0031] Among them, BX is the insurance rate, GDn is the dispatch value of the n-route node, and GBn is the standard value of the n-route node.

[0032] Furthermore, the vehicle dispatching according to the comparison between the insurance rate and the preset range value includes the following steps:

[0033] If the insurance value is within the preset range, the vehicle is dispatched to the route node of the current planned route according to the dispatch value;

[0034] If the insurance value does not meet the preset range, the vehicle will be dispatched on the current planned route.

[0035] Further, the vehicle dispatching according to the comparison between the dispatching value and the corresponding preset standard value comprises the following steps:

[0036] If the dispatch value of the current route node meets the corresponding standard value, the dispatch value of the next route node is compared;

[0037] If the dispatch value of the current route node does not meet the corresponding standard value, the current route node is marked and the vehicle is dispatched.

[0038] Beneficial effects of the present invention:

[0039] The public transportation intelligent dispatching system of the present invention collects environmental characteristic information and vehicle characteristic information in real time, obtains several route nodes according to the planned route information, and whenever a vehicle arrives at a route node, evaluates the dispatching value of the vehicle when it arrives at the next route node according to the arrival time of the vehicle between the current route node and the previous route node, combined with several items of standard passenger transport data, and performs vehicle dispatching according to the comparison between the dispatching value and the corresponding preset standard value, thereby realizing intelligent public transportation dispatching. It introduces road condition information, vehicle condition information and passenger flow, and can make accurate predictions for the actual situation of route nodes, so as to formulate reasonable dispatching plans, optimize dispatching and departure times, make flexible and efficient dispatching decisions, meet the diversity of dispatching strategies, and respond to emergency dispatching in a timely manner, and can adjust routes and trains in a timely manner, thereby improving the utilization rate of public transportation resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. 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 creative work.

[0041] Figure 1 It is a schematic diagram of the principle of a public transportation intelligent dispatching system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0043] According to an embodiment of the present invention, a public transportation intelligent dispatching system is provided.

[0044] like Figure 1 As shown, the public transportation intelligent dispatching system according to the embodiment of the present invention includes: an information collection module 1, a dispatching management module 2, a dispatching evaluation module 3 and an early warning dispatching module 4, wherein;

[0045] The information collection module 1 is used to collect environmental characteristic information and vehicle characteristic information in real time, and send the environmental characteristic information and vehicle characteristic information to the dispatch evaluation module 3, wherein the environmental characteristic information includes: road condition information and planned route information; the vehicle characteristic information includes: vehicle condition information, current vehicle position information and passenger flow;

[0046] For the above-mentioned road condition information, this technical solution can collect relevant indicators when applied, such as: traffic congestion, road construction and bad weather, specifically: Traffic congestion: During peak hours or accident-prone sections, road congestion will cause the bus to slow down and fail to arrive at the station on time. For example, during rush hour, the main roads in the city center have heavy traffic, and buses may be trapped in the traffic. Road construction: Road maintenance, reconstruction and other construction activities may occupy lanes, forcing buses to change routes or slow down. Bad weather: Heavy rain, heavy snow, heavy fog and other bad weather will reduce road visibility and driving conditions, and increase driving difficulty and time. For example, the roads are icy on snowy days, and buses need to drive slowly for safety.

[0047] Therefore, the road condition information can be expressed as "compliant or non-compliant". If any one of the items does not comply with the preset parameters, it means that the current road condition information is non-compliant. On the contrary, if the relevant indicators comply, it means that the current road condition information is compliant.

[0048] For the above vehicle condition information, relevant indicators can be collected, such as: Vehicle failure: engine failure, tire problems or other mechanical failures may cause the bus to break down on the road, delaying the arrival time. And vehicle aging: old buses may have poor performance and are prone to failure, affecting normal driving speed and punctuality. Therefore, vehicle condition information can be expressed as "poor, good or excellent".

[0049] In addition, the above vehicle location information can be obtained in real time by using vehicle-mounted GPS positioning, and passenger flow statistics can be obtained by installing passenger flow statistics cameras for real-time statistics, thereby obtaining passenger flow, which can be expressed as "empty, regular or full".

[0050] The dispatch management module 2 is used to obtain several items of standard passenger transport data of the current planned route according to the planned route information, wherein several items of standard road data include: standard road conditions, standard vehicle conditions, standard passenger flow and standard time;

[0051] The scheduling evaluation module 3 is used to obtain a number of route nodes according to the planned route information, and each time a vehicle arrives at a route node, based on the arrival time of the vehicle between the current route node and the previous route node, combined with a number of standard passenger transport data, evaluates the scheduling value of the vehicle when it arrives at the next route node;

[0052] In addition, it also includes: whenever the vehicle arrives at a route node, determining whether the arrival time exceeds the standard time, which includes the following steps:

[0053] If the standard time is exceeded, the dispatch value of the vehicle when it arrives at the next route node is evaluated based on the timeout duration and several abnormal factors between the current route node and the previous route node. The abnormal factors include: abnormal road conditions, abnormal vehicle conditions and abnormal passenger flow;

[0054] If the standard time is not exceeded, the scheduling value of the vehicle when it arrives at the next route node is evaluated based on several abnormal factors between the current route node and the previous route node.

[0055] In addition, the dispatch value when the vehicle arrives at the next route node is evaluated, including the following steps:

[0056] If the arrival time exceeds the standard time, the scheduling value is obtained after dimensionless processing of the overtime duration, abnormal road conditions, abnormal vehicle conditions and abnormal passenger flow, which is expressed as:

[0057] GD=α1*CS+α2*YL+α3*YC+α4*YK;

[0058] Among them, GD is the dispatch value, CS is the timeout duration, YL is the abnormal road condition, YC is the abnormal vehicle condition, YK is the abnormal passenger flow, and α1, α2, α3 and α4 are all proportional coefficients.

[0059] In addition, evaluating the dispatch value when the vehicle arrives at the next route node also includes the following steps:

[0060] If the arrival time does not exceed the standard time, the scheduling value is obtained after dimensionless processing of abnormal road conditions, abnormal vehicle conditions and abnormal passenger flow, which is expressed as:

[0061] GD=β1*YL+β2*YC+β3*YK;

[0062] Among them, GD is the dispatch value, YL is the abnormal road condition, YC is the abnormal vehicle condition, YK is the abnormal passenger flow, and β1, β2 and β3 are all proportional coefficients.

[0063] In addition, it also includes: obtaining the dispatch value corresponding to each route node reached by the vehicle, and obtaining the insurance rate of the vehicle completing all route nodes according to the planned route information, and dispatching the vehicle according to the comparison between the insurance rate and the preset range value, and the insurance rate is expressed as:

[0064] BX=(GD1+GD2+GDn) / (GF1+GF2+GFn)×100%

[0065] Among them, BX is the insurance rate, GDn is the dispatch value of the n-route node, and GBn is the standard value of the n-route node.

[0066] The vehicle dispatching is performed according to the comparison between the insurance rate and the preset range value, including the following steps:

[0067] If the insurance value is within the preset range, the vehicle is dispatched to the route node of the current planned route according to the dispatch value;

[0068] If the insurance value does not meet the preset range, the vehicle will be dispatched on the current planned route.

[0069] The early warning dispatch module 4 is used to dispatch vehicles according to the comparison between the dispatch value and the corresponding preset standard value.

[0070] The vehicle dispatching is performed according to the comparison between the dispatching value and the corresponding preset standard value, including the following steps: if the dispatching value of the current route node meets the corresponding standard value, then the dispatching value of the next route node is compared;

[0071] If the dispatch value of the current route node does not meet the corresponding standard value, the current route node is marked and the vehicle is dispatched.

[0072] It should be noted that in the present technical solution, for the above-mentioned road condition information, vehicle condition information and passenger flow, parameter values ​​can be set according to actual response requirements. For example, the road condition information parameter meets the value of 0, and the road condition information parameter does not meet the value of 1, so as to obtain the corresponding scheduling value and insurance rate, and accurately predict the actual situation of the route nodes and formulate reasonable scheduling plans.

[0073] To sum up, with the help of the above technical scheme of the present invention, by real-time collection of environmental characteristic information and vehicle characteristic information, and obtaining several route nodes according to the planned route information, and each time a vehicle arrives at a route node, according to the arrival time of the vehicle between the current route node and the previous route node, combined with several items of standard passenger transport data, the dispatch value of the vehicle when it arrives at the next route node is evaluated, and the vehicle is dispatched according to the comparison between the dispatch value and the corresponding preset standard value, so as to realize intelligent bus dispatching, which introduces road condition information, vehicle condition information and passenger flow, can make accurate predictions for the actual situation of route nodes, so as to formulate reasonable dispatching plans, optimize dispatching and departure times, make flexible and efficient dispatching decisions, meet the diversity of dispatching strategies, and respond to emergency dispatching in a timely manner, and can adjust routes and trips in time to improve the utilization rate of bus resources.

[0074] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. After considering the disclosure of the specification and the examples, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art that are not disclosed in the present disclosure. The specification and the examples are only regarded as exemplary, and the true scope and spirit of the present disclosure are indicated by the claims.

[0075] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A public transportation intelligent dispatching system, characterized in that: include: An information collection module (1), a dispatch management module (2), a dispatch evaluation module (3) and an early warning dispatch module (4), wherein; The information collection module (1) is used to collect environmental characteristic information and vehicle characteristic information in real time, and send the environmental characteristic information and vehicle characteristic information to the dispatch evaluation module (3), wherein the environmental characteristic information includes: road condition information and planned route information; the vehicle characteristic information includes: vehicle condition information, current vehicle position information and passenger flow; The dispatch management module (2) is used to obtain a number of standard passenger transport data of the current planned route according to the planned route information, wherein the number of standard road data includes: standard road conditions, standard vehicle conditions, standard passenger flow and standard time; The dispatch evaluation module (3) is used to obtain a plurality of route nodes according to the planned route information, and each time a vehicle arrives at a route node, based on the arrival time of the vehicle between the current route node and the previous route node, combined with a plurality of standard passenger transport data, evaluate the dispatch value of the vehicle when it arrives at the next route node; The early warning dispatch module (4) is used to dispatch vehicles according to the comparison between the dispatch value and the corresponding preset standard value; Whenever a vehicle arrives at a route node, it is determined whether the arrival time exceeds the standard time, which includes the following steps: If the standard time is exceeded, the dispatch value of the vehicle when it arrives at the next route node is evaluated based on the timeout duration and several abnormal factors between the current route node and the previous route node, wherein the abnormal factors include: abnormal road conditions, abnormal vehicle conditions and abnormal passenger flow; If the standard time is not exceeded, the dispatch value of the vehicle when it arrives at the next route node is evaluated based on several abnormal factors between the current route node and the previous route node; Evaluating the dispatch value when the vehicle arrives at the next route node includes the following steps: If the arrival time exceeds the standard time, the scheduling value is obtained after dimensionless processing of the overtime duration, abnormal road conditions, abnormal vehicle conditions and abnormal passenger flow, which is expressed as: GD=α1*CS+α2*YL+α3*YC+α4*YK; Among them, GD is the dispatch value, CS is the timeout duration, YL is the abnormal road condition, YC is the abnormal vehicle condition, YK is the abnormal passenger flow, and α1, α2, α3 and α4 are all proportional coefficients; Among them, evaluating the dispatch value when the vehicle arrives at the next route node also includes the following steps: If the arrival time does not exceed the standard time, the scheduling value is obtained after dimensionless processing of abnormal road conditions, abnormal vehicle conditions and abnormal passenger flow, which is expressed as: GD=β1*YL+β2*YC+β3*YK; Among them, GD is the dispatch value, YL is the abnormal road condition, YC is the abnormal vehicle condition, YK is the abnormal passenger flow, and β1, β2 and β3 are all proportional coefficients; The method further includes: obtaining the dispatch value corresponding to each route node reached by the vehicle, obtaining the insurance rate of the vehicle completing all route nodes according to the planned route information, and dispatching the vehicle according to the comparison between the insurance rate and the preset range value, and the insurance rate is expressed as: BX=(GD1+GD2+GDn) / (GF1+GF2+GFn)×100% Among them, BX is the insurance rate, GDn is the dispatch value of the n-route node, and GFn is the standard value of the n-route node.

2. The public transportation intelligent dispatching system according to claim 1 is characterized in that: The method of performing vehicle dispatch according to the comparison between the insurance rate and the preset range value comprises the following steps: If the insurance value is within the preset range, the vehicle is dispatched to the route node of the current planned route according to the dispatch value; If the insurance value does not meet the preset range, the vehicle will be dispatched on the current planned route.

3. The public transportation intelligent dispatching system according to claim 1 is characterized in that: The vehicle dispatching according to the comparison between the dispatching value and the corresponding preset standard value comprises the following steps: If the dispatch value of the current route node meets the corresponding standard value, the dispatch value of the next route node is compared; If the dispatch value of the current route node does not meet the corresponding standard value, the current route node is marked and the vehicle is dispatched.

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