A bus station configuration evaluation method and system based on an intelligent road network

Abstract

The application discloses a bus station configuration evaluation method and system based on an intelligent road network, and relates to the field of intelligent traffic management.The bus station configuration evaluation method comprises the following steps: acquiring the bus vehicle stopping behavior of a bus station, the bus station infrastructure, the road channelization and the traffic operation situation of the road where the bus station is located through information collected by intelligent sensing devices; constructing a bus station influence on intersection traffic evaluation model and a bus station influence on road section traffic evaluation model; and then constructing a bus station rationality evaluation model based on the bus station influence on intersection traffic evaluation model and the bus station influence on road section traffic evaluation model, so that the scale, position and influence on traffic of the bus station can be graded and evaluated by using relatively quantitative indexes.

Description

Technical Field

[0001] This invention relates to the field of intelligent traffic management, and in particular to a method and system for evaluating the configuration of bus stops based on intelligent road networks. Background Technology

[0002] Public transportation is a vital component of urban mobility, with surface public transport, as the earliest established public transport system, handling nearly 40% of the city's public transport needs. Bus stops are an important part of the urban public transport system and are nodes where buses and travelers interact directly. With the country's promotion of public transport development and the increasingly widespread practice of low-carbon and green travel concepts, urban bus routes are becoming more abundant and bus stops are becoming more densely located.

[0003] Meanwhile, with the increasing number of motor vehicles, urban congestion and traffic accidents have become the most significant factors affecting urban transportation efficiency. Besides the problem of limited road resources being unable to meet transportation demand due to the surge in vehicle numbers, the intermingling and interference between public transport vehicles and other vehicles during stops and departures are also becoming increasingly apparent. This affects public transport efficiency and punctuality, as well as the normal passage of other vehicles. Furthermore, frequent intermingling can easily lead to rear-end collisions and scrapes between public transport vehicles and buses, reducing urban road efficiency and vehicle safety.

[0004] Currently, the focus is on the technology of how to set up bus stops. However, compared with optimizing the location of bus stops, there is a lack of effective data and methods to evaluate the rationality of the bus stop settings and select those that need optimization for existing bus stops that have been built and put into use. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention provides a method and system for evaluating bus stop configuration based on intelligent road networks. This system can solve the problem that existing methods lack effective data and support for evaluating the rationality of bus stop settings and selecting bus stops that need optimization.

[0006] To achieve the above objectives, on the one hand, the present invention provides a method for evaluating the configuration of bus stops based on intelligent road networks, the method comprising:

[0007] Based on the information collected by the intelligent sensing devices of the intelligent road network, obtain the traffic situation information corresponding to the road where the bus stop to be evaluated is located;

[0008] A model for assessing the impact of bus stops on intersection traffic is constructed based on traffic situation information of the road where the bus stop to be assessed is located.

[0009] An assessment model of the impact of bus stops on road traffic is constructed based on information collected by intelligent sensing devices in the intelligent road network.

[0010] Based on the traffic impact assessment model of the intersection and the traffic impact assessment model of the bus stop on the road segment, the evaluation result of the rationality of the bus stop setting to be evaluated is determined.

[0011] Furthermore, the step of obtaining traffic situation information corresponding to the road where the bus stop to be evaluated is located based on information collected by the intelligent road network intelligent sensing device includes:

[0012] Traffic speed information of the road where the bus stop to be evaluated is located is obtained by collecting road condition information through roadside intelligent sensing devices, and the real-time traffic congestion index of the road corresponding to the bus stop to be evaluated is obtained based on the traffic speed information of the road where the bus stop to be evaluated is located.

[0013] Based on the information collected by the intelligent sensing device at the intersection, the system identifies and obtains the queue length information of the approach lane of the downstream intersection connecting the road segment where the bus stop is located, and generates a reference value for the average queue length of the downstream intersection based on the queue length information of the approach lane of the downstream intersection.

[0014] Furthermore, the step of constructing a traffic impact assessment model for the bus stop on the intersection based on the traffic situation information corresponding to the road where the bus stop to be assessed is located includes:

[0015] Based on the reference value of the average queue length of the downstream intersection, the distance of the bus stop from the stop line of the intersection entrance lane, and the enclosed value of the queue length of the bus stop location and the downstream intersection;

[0016] The consistency evaluation index between vehicle routes and the channelization of the road where the bus stop is located is obtained based on the traffic flow direction and the interval between bus turns on the road segment where the bus stop is located.

[0017] Based on the station location and the downstream intersection queue length tolerance value and the vehicle route and the road channelization consistency evaluation index of the bus station, an assessment model for the traffic impact of the bus station on the intersection is constructed.

[0018] Furthermore, the method also includes:

[0019] The evaluation of the inclusiveness of the queue length between the station location and the downstream intersection and the evaluation of the consistency between the vehicle route and the road channelization of the bus stop are revised based on the threshold range in which the queue length inclusiveness value of the station location and the downstream intersection are located.

[0020] Furthermore, the step of constructing a traffic impact assessment model for the bus stop on the road segment based on the traffic situation information corresponding to the road where the bus stop to be assessed is located includes:

[0021] The vehicle type is identified by image information collected by intelligent sensing devices at the roadside and intersections of the intelligent road network, and the number of buses entering the bus station to be evaluated is obtained.

[0022] An assessment model of the impact of bus stops on road traffic is constructed based on the number of buses entering the bus stops to be evaluated.

[0023] On the other hand, the present invention provides a bus stop configuration evaluation system based on intelligent road network. The system includes: an acquisition unit, used to acquire traffic situation information corresponding to the road where the bus stop to be evaluated is located based on information collected by intelligent sensing devices of intelligent road network.

[0024] The construction unit is used to build an assessment model of the impact of the bus stop on the intersection traffic based on the traffic situation information of the road where the bus stop to be assessed is located.

[0025] The construction unit is also used to construct an assessment model of the impact of bus stops on road traffic based on information collected by intelligent sensing devices of the intelligent road network;

[0026] The determining unit is used to determine the rationality evaluation result of the bus stop setting to be evaluated based on the intersection traffic impact assessment model and the road segment traffic impact assessment model.

[0027] Further, the acquisition unit is specifically used to acquire traffic speed information of the road where the bus stop to be evaluated is located through roadside intelligent sensing equipment, and to acquire the real-time traffic congestion index corresponding to the road based on the traffic speed information of the road where the bus stop to be evaluated is located; to identify and acquire the queue length information of the approach lane of the downstream intersection connecting the road segment where the bus stop is located based on the information collected by the intersection intelligent sensing equipment, and to generate a reference value for the average queue length of the downstream intersection based on the queue length information of the approach lane of the downstream intersection.

[0028] Furthermore, the construction unit is specifically used to obtain the average queue length reference value of the downstream intersection road, the distance of the bus stop from the stop line of the intersection approach lane, and the tolerance value of the queue length between the bus stop location and the downstream intersection; to obtain the consistency evaluation index of the vehicle route and the channelization of the road where the bus stop is located based on the interval between the traffic flow direction and the bus turning on the road segment where the bus stop is located; and to construct an assessment model of the traffic impact of the bus stop on the intersection based on the queue length tolerance value between the bus stop location and the downstream intersection and the consistency evaluation index of the vehicle route and the channelization of the road where the bus stop is located.

[0029] Furthermore, the construction unit is also used to correct the evaluation of the queue length inclusiveness of the station location and the downstream intersection and the evaluation of the consistency between the vehicle route and the road channelization of the bus stop based on the threshold range in which the queue length inclusiveness value of the station location and the downstream intersection is located.

[0030] Furthermore, the construction unit is specifically used to identify vehicle types and obtain the number of buses entering the bus stop to be evaluated by collecting image information from intelligent roadside and intersection intelligent sensing devices of the intelligent road network; and to construct a bus stop impact assessment model on road segment traffic based on the number of buses entering the bus stop to be evaluated.

[0031] This invention provides a method and system for evaluating the configuration of bus stops based on intelligent road networks. It acquires information from intelligent sensing devices, including bus stopping behavior, basic infrastructure, road channelization, and traffic conditions of the roads where the stops are located. This information is used to construct assessment models for the impact of bus stops on intersection traffic and on road segment traffic. Based on these models, an evaluation model for the rationality of bus stops is built. This allows for the classification and evaluation of the scale, location, and traffic impact relevance of bus stops using relatively quantitative indicators. Attached Figure Description

[0032] Figure 1 This is a flowchart of a bus stop configuration evaluation method based on intelligent road networks provided by the present invention;

[0033] Figure 2 This is a schematic diagram of the structure of a bus stop configuration evaluation system based on an intelligent road network provided by the present invention;

[0034] Figure 3 This is a schematic diagram of a bus stop configuration scenario based on an intelligent road network provided by the present invention. Detailed Implementation

[0035] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0036] like Figure 1 As shown in the figure, an embodiment of the present invention provides a method for evaluating the configuration of bus stops based on intelligent road networks, which includes the following steps:

[0037] 101. Based on the information collected by the intelligent sensing equipment of the intelligent road network, obtain the traffic situation information corresponding to the road where the bus stop to be evaluated is located.

[0038] Specifically, traffic speed information of the road where the bus stop to be evaluated is located is obtained through roadside intelligent sensing equipment, and the real-time traffic congestion index corresponding to the road is obtained based on the traffic speed information of the road where the bus stop to be evaluated is located; the queue length information of the approach lane of the downstream intersection connecting the road segment where the bus stop is located is identified based on the information collected by the intersection intelligent sensing equipment, and the average queue length reference value of the downstream intersection is generated based on the queue length information of the approach lane of the downstream intersection.

[0039] It should be noted that road traffic situation refers to the safety and smoothness of roads. The quality of road traffic situation reflects the level of service provided by roads to the traffic elements they support. Because buses are relatively large and operate at relatively low speeds around bus stops, their main impact on traffic flow is reflected in their influence on the speed and congestion of normal traffic flow during lane changes, turns, and stops. In this embodiment of the invention, the rationality of bus stop locations is mainly determined by the impact of buses on traffic flow. The traffic congestion index is calculated by integrating indicators such as road grade and traffic speed, and is a comprehensive indicator reflecting the road traffic operation status. The traffic index ranges from 0 to 10, divided into five levels. 0-2, 2-4, 4-6, 6-8, and 8-10 correspond to five levels: smooth flow, basically smooth flow, light congestion, moderate congestion, and severe congestion, respectively. Higher values ​​indicate more severe traffic congestion. In this embodiment of the invention, roadside intelligent sensing devices are used to monitor the traffic speed on the roads where bus stops are located in real time, thereby achieving near real-time calculation of the traffic congestion index and forming a detailed record of traffic congestion situation.

[0040] Furthermore, relying on intelligent sensing equipment at intersections, the system identifies and calculates the queue length of the approach lanes at downstream intersections connecting to the road segments where bus stops are located, generating detailed data on the average queue length of the downstream intersections, and using the mode of the average queue length as a reference value for the queue length.

[0041] 102. Construct an assessment model of the impact of the bus stop on the intersection traffic based on the traffic situation information of the road where the bus stop to be assessed is located.

[0042] Specifically, based on the reference value of the average queue length at the downstream intersection, the distance of the bus stop from the stop line of the intersection approach lane, and the tolerance value of the queue length between the bus stop location and the downstream intersection, the consistency evaluation index of the vehicle route and the channelization of the road where the bus stop is located is obtained based on the interval between the traffic flow direction and the bus turning on the road segment where the bus stop is located. Based on the tolerance value of the queue length between the bus stop location and the downstream intersection, and the consistency evaluation index of the vehicle route and the channelization of the road where the bus stop is located, an assessment model of the traffic impact of the bus stop on the intersection is constructed. The tolerance evaluation of the queue length between the bus stop location and the downstream intersection, and the consistency evaluation of the channelization of the vehicle route and the road where the bus stop is located, are then corrected according to the threshold range of the tolerance value of the queue length between the bus stop location and the downstream intersection.

[0043] For example, the mode of the average queue length at downstream intersections can be used as the benchmark reference value L. q The distance L from the bus stop to the stop line of the intersection approach lane is obtained through map measurement or field survey. sIntroducing and defining the inclusiveness S of station location and downstream intersection queue length. q The value can be obtained in the following ways:

[0044]

[0045] Its representation means that when L s <L q At this time, buses need to merge or insert into existing queues when leaving the station, significantly impacting the passage of other vehicles. Furthermore, the distance between bus stops and intersection approach lanes has low tolerance for downstream intersection queue lengths. When L s >L q When buses leave the station, they do not need to rush to merge into or insert into the existing queue of vehicles. They can merge from behind the end of the queue. At this time, the impact of buses on the passage of other vehicles is small, and the distance between the bus stop and the intersection entrance lane has a high tolerance for the queue length of the downstream intersection.

[0046] Furthermore, lane-changing behavior affects vehicle speed and road traffic flow, especially for buses near intersections. The direction a bus travels after leaving a stop significantly influences the number of lanes it crosses and the frequency of lane changes. To characterize this impact, an evaluation index, R, is introduced to assess the consistency between vehicle routes and the channelization of the road where the bus stop is located. s This evaluation index is related to the traffic flow direction and the interval R between bus turns on the road segment where the bus stop is located. x .

[0047]

[0048] A typical bus stop includes multiple bus routes. The consistency assessment is based on the travel direction of the majority of routes. When the number of routes with different travel directions is the same, the travel direction of the route with the greater influence is selected as the consistency assessment basis. This means that when R... x When R = -0, it means that the road where the bus stop is located is the same as the turn ahead of the bus, meaning that the passage of the bus does not affect the traffic flow of other turns, the channelization consistency between the vehicle route and the road where the bus stop is located is high, and the impact of the bus on the overall road is low; its meaning is that when R x When R = 1, it means that the road where the bus stop is located has a different direction from the direction the bus is heading, but it can reach the lane with the predetermined direction of travel by merging a few lanes. The consistency between the vehicle route and the channelization of the road where the bus stop is located is moderate, and the impact of the bus on the overall road is moderate. This means that when R... x When the value is ≥2, it means that the road where the bus stop is located is different from the direction the bus is going, and the bus needs to merge multiple times to reach the lane with the intended direction of travel. The consistency between the vehicle route and the channelization of the road where the bus stop is located is poor, and the bus has a high impact on the overall road.

[0049] Furthermore, when the inclusiveness of the station location and the queue length at the downstream intersection is at a high level, i.e., L... s >L q At that time, the consistency between bus routes and road channelization significantly mitigated the spatial impact on private vehicles, while when L s <L q Even with low consistency between bus routes and road channelization, bus departures and lane changes can still significantly impact traffic flow, thus affecting the inclusiveness assessment S. q And consistency evaluation R s The comprehensive evaluation and correction are shown in the table below:

[0050]

[0051]

[0052] 103. Construct an assessment model of the impact of bus stops on road traffic based on information collected by intelligent sensing devices in the intelligent road network.

[0053] Specifically, vehicle types are identified by image information collected from intelligent sensing devices at roadside and intersections of the intelligent road network, and the number of buses entering the bus stop to be evaluated is obtained; based on the number of buses entering the bus stop to be evaluated, a model for assessing the traffic impact of the bus stop on the road segment is constructed.

[0054] For example, since buses inevitably undergo a process of slowing down upon entering the station, stopping to pick up and drop off passengers, and accelerating out of the station, these three processes dynamically impact the normal operation of traffic. The more stops a bus makes, the greater the dynamic impact. In this embodiment of the invention, the number of bus stops is used to characterize the frequency of these dynamic impacts, thereby evaluating the impact of bus stops on road segments. Intelligent road network roadside and intersection intelligent sensing devices identify vehicle types and record bus arrival data in real time, forming a detailed bus arrival time table based on the time it takes for vehicles to arrive at the bus stop. Based on the table records, different time intervals can be used to statistically analyze bus arrival density according to different analytical precisions, such as bus arrivals every 5 minutes, bus arrivals every 10 minutes, etc., forming a vehicle arrival density table. As the bus arrival density increases, the impact on road traffic gradually increases, and the road traffic congestion index rises. When road traffic reaches saturation, the impact of increased bus density on the road becomes less pronounced, and the traffic congestion index increases slowly or stagnates. To eliminate the impact of morning and evening rush hours on traffic congestion, survey data from off-peak hours or typical weekend days should be selected as the basis for analysis. The concept of traffic congestion index difference is introduced. The traffic congestion index difference is the difference between the traffic congestion index of a road segment during a fixed period when there are bus stops and the traffic congestion index of a road segment when there are no bus stops.

[0055] We intend to use a log-correlation function to characterize the relationship between bus arrival density and the difference in traffic congestion index. Specifically, we will use external data analysis tools to fit a regression line between the difference in traffic congestion index and bus arrival density over a given time interval, and use the coefficient of determination R of the fitted regression line as the criterion. 2 square The magnitude of the correlation between the two indicators is used to evaluate their relationship. A correlation index E is defined between bus arrival density and the difference in traffic congestion index. bus as follows:

[0056]

[0057] 104. Based on the traffic impact assessment model of the intersection and the traffic impact assessment model of the bus stop on the road segment, determine the evaluation result of the rationality of the bus stop setting to be evaluated.

[0058] Specifically, by combining the bus stop impact assessment model on intersections and the bus stop impact assessment model on road segments, a qualitative assessment is conducted based on the collected data. Depending on the management needs and priorities of the business, the more severe assessment result from the two qualitative assessments can be selected as the rationality assessment result for the bus stop's establishment.

[0059] For embodiments of the present invention, specific application scenarios may be as follows, but are not limited thereto, including: Condition 1: A certain bus stop A to be evaluated, the location of which is related to the physical condition of the road it is located on as follows: Figure 3 As shown: Condition 2: The first bus arrives at 5:00 AM, and bus service continues until midnight. Condition 3: The proportions of vehicles passing through this stop turning left, going straight, and turning right at the downstream intersection are 40%, 40%, and 10%, respectively. Condition 4: Based on the bus arrival time records collected by the equipment, a bus arrival density table is generated as shown below:

[0060]

[0061]

[0062] Step 1: Based on intelligent road network sensing equipment, assess the traffic situation of the road where the bus stop is located; relying on dynamic sensing data, the traffic congestion index of the western entrance road of the intersection is recorded as shown in the table below:

[0063]

[0064]

[0065] Based on dynamic sensing data, the average queue length at the west entrance of the intersection is recorded as follows:

[0066]

[0067]

[0068] According to the table of queue lengths, the mode of the average queue length is 45 meters.

[0069] Step 2: Construct a model to assess the traffic impact of bus stops on intersections.

[0070] Inclusivity assessment of site location and downstream intersection queue length

[0071] According to the description in condition one, L s =50, according to the data record in Step 1②, L q =45, based on the range of inclusiveness values, the inclusiveness rating is "high".

[0072]

[0073] Consistency assessment of vehicle routes and road channelization where bus stops are located

[0074] According to Condition 1, the bus stop is located in the outermost lane of the road segment, and the road channelization of this lane is "right turn". Condition 3 also states that the proportion of vehicles passing through this stop turning left and going straight at the downstream intersection is the same, both at 40%. According to the provisions of this method, the "road direction with greater impact" is selected as the basis for consistency assessment, that is, the "left turn" direction is selected as the basis for consistency assessment.

[0075] Therefore R s ≥2, based on the consistency range, the inclusiveness rating is "low".

[0076]

[0077] Inclusive assessment and consistency assessment revision

[0078] Based on the evaluation results from Step 2, the evaluation correction f is obtained by substituting the inclusive evaluation and consistency evaluation correction tables. bus To be moderate,

[0079]

[0080] Step 3: Construct a model to assess the impact of bus stops on road traffic.

[0081] Based on condition four and the data in Step 1, obtain the data analysis table:

[0082]

[0083]

[0084] A regression analysis was performed using the log-correlation function to examine the difference between the number of bus arrivals and the traffic congestion index. The fitted line equation was:

[0085] Traffic congestion index difference = 1.0038lnnumber of bus arrivals - 0.96

[0086] coefficient of determination of the regression line

[0087]

[0088] According to the correlation evaluation table, the correlation between bus arrival density and the traffic congestion index difference is defined as low.

[0089]

[0090] Step 4: Based on Step 2, the traffic impact of the bus stop on the intersection is determined to be moderate; based on Step 3, the traffic impact of the bus stop on the road segment is determined to be low. The more severe assessment result from the two qualitative assessments is taken as the traffic impact assessment result for this bus stop, that is, the rationality assessment of this bus stop is moderate.

[0091] This invention provides a method for evaluating the configuration of bus stops based on intelligent road networks. It acquires information from intelligent sensing devices, including bus stopping behavior, basic infrastructure, road channelization, and traffic conditions of the roads where the stops are located. This information is used to construct assessment models for the impact of bus stops on intersection traffic and on road segment traffic. Based on these models, an evaluation model for the rationality of bus stops is built. This allows for the classification and evaluation of the scale, location, and traffic impact relevance of bus stops using relatively quantitative indicators.

[0092] To implement the method provided in the embodiments of the present invention, the embodiments of the present invention provide a bus stop configuration evaluation system based on intelligent road networks, such as... Figure 2 As shown, the system includes: an acquisition unit 21, a construction unit 22, and a determination unit 23.

[0093] The acquisition unit 21 is used to acquire traffic situation information corresponding to the road where the bus stop to be evaluated is located, based on the information collected by the intelligent sensing device of the intelligent road network.

[0094] Construction unit 22 is used to construct an assessment model of the impact of the bus stop on the intersection traffic based on the traffic situation information of the road where the bus stop to be assessed is located.

[0095] The construction unit 22 is also used to construct an assessment model of the impact of bus stops on road traffic based on the information collected by the intelligent sensing devices of the intelligent road network;

[0096] Unit 23 is used to determine the rationality evaluation result of the bus stop setting to be evaluated based on the intersection traffic impact assessment model and the road segment traffic impact assessment model.

[0097] Further, the acquisition unit 21 is specifically used to acquire traffic speed information of the road where the bus stop to be evaluated is located through road condition information collected by roadside intelligent sensing devices, and to acquire the real-time traffic congestion index corresponding to the road based on the traffic speed information of the road where the bus stop to be evaluated is located; to identify and acquire the queue length information of the approach lane of the downstream intersection connecting the road segment where the bus stop is located based on the information collected by the intersection intelligent sensing devices, and to generate a reference value for the average queue length of the downstream intersection based on the queue length information of the approach lane of the downstream intersection.

[0098] Furthermore, the construction unit 22 is specifically used to obtain the average queue length reference value of the downstream intersection road, the distance of the bus stop from the stop line of the intersection approach lane, and the tolerance value of the queue length of the downstream intersection at the bus stop location; to obtain the consistency evaluation index of the vehicle route and the channelization of the road where the bus stop is located based on the interval between the traffic flow direction and the bus turning on the road segment where the bus stop is located; and to construct an assessment model of the traffic impact of the bus stop on the intersection based on the queue length tolerance value of the downstream intersection at the bus stop location and the consistency evaluation index of the channelization of the road where the bus stop is located.

[0099] Furthermore, the construction unit 22 is also used to correct the evaluation of the queue length inclusiveness of the station location and the downstream intersection and the evaluation of the consistency between the vehicle route and the road channelization of the bus stop based on the threshold range in which the queue length inclusiveness value of the station location and the downstream intersection is located.

[0100] Furthermore, the construction unit 22 is specifically used to identify vehicle types and obtain the number of buses entering the bus stop to be evaluated by collecting image information from intelligent roadside and intersection intelligent sensing devices of the intelligent road network; and to construct a bus stop impact assessment model on road segment traffic based on the number of buses entering the bus stop to be evaluated.

[0101] This invention provides a bus stop configuration evaluation system based on intelligent road networks. It acquires information from intelligent sensing devices, including bus stopping behavior, basic bus stop infrastructure, road channelization, and traffic conditions of the roads where the bus stops are located. The system then constructs evaluation models for the impact of bus stops on intersection traffic and on road segment traffic. Based on these models, it builds an evaluation model for the rationality of bus stops, thereby enabling the classification and evaluation of the scale, location, and traffic impact relevance of bus stops using relatively quantitative indicators.

[0102] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process may be rearranged without departing from the scope of this disclosure. The appended method claims provide elements of various steps in an exemplary order and are not intended to limit the scope to the specific order or hierarchy described.

[0103] In the above detailed description, various features are combined together in a single embodiment to simplify this disclosure. This approach to disclosure should not be construed as reflecting an intention that embodiments of the claimed subject matter require more features than are explicitly stated in each claim. Rather, as reflected in the appended claims, the invention is presented with fewer features than all of the features of the single disclosed embodiment. Therefore, the appended claims are hereby explicitly incorporated into the detailed description, wherein each claim stands alone as a preferred embodiment of the invention.

[0104] The disclosed embodiments have been described above to enable any person skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be applied to other embodiments without departing from the spirit and scope of this disclosure. Therefore, this disclosure is not limited to the embodiments given herein, but is consistent with the broadest scope of the principles and novel features disclosed in this application.

[0105] The foregoing description includes examples of one or more embodiments. It is certainly impossible to describe all possible combinations of components or methods in order to describe the above embodiments, but those skilled in the art will recognize that further combinations and arrangements of the various embodiments are possible. Therefore, the embodiments described herein are intended to cover all such changes, modifications, and variations that fall within the scope of the appended claims. Furthermore, the term "comprising" as used in the specification or claims is interpreted in a manner similar to the term "including," as interpreted when used as a conjunction in the claims. Additionally, the use of any term "or" in the specification of the claims is intended to mean "non-exclusive or."

[0106] Those skilled in the art will also understand that the various illustrative logical blocks, units, and steps listed in the embodiments of the present invention can be implemented by electronic hardware, computer software, or a combination of both. To clearly demonstrate the interchangeability of hardware and software, the functions of the various illustrative components, units, and steps described above have been generally described. Whether such functionality is implemented through hardware or software depends on the specific application and the overall system design requirements. Those skilled in the art can implement the described functions using various methods for each specific application, but such implementation should not be construed as exceeding the scope of protection of the embodiments of the present invention.

[0107] The various illustrative logic blocks or units described in the embodiments of this invention can be implemented or operate the described functions using a general-purpose processor, digital signal processor, application-specific integrated circuit (ASIC), field-programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof. The general-purpose processor can be a microprocessor; alternatively, it can be any conventional processor, controller, microcontroller, or state machine. The processor can also be implemented using a combination of computing devices, such as a digital signal processor and a microprocessor, multiple microprocessors, one or more microprocessors combined with a digital signal processor core, or any other similar configuration.

[0108] The steps of the methods or algorithms described in the embodiments of this invention can be directly embedded in hardware, a software module executed by a processor, or a combination of both. The software module can be stored in RAM, flash memory, ROM, EPROM, EEPROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium in the art. Exemplarily, the storage medium can be connected to the processor so that the processor can read information from and write information to the storage medium. Optionally, the storage medium can also be integrated into the processor. The processor and storage medium can be housed in an ASIC, which can be housed in a user terminal. Optionally, the processor and storage medium can also be housed in different components of the user terminal.

[0109] In one or more exemplary designs, the functions described in the embodiments of the present invention can be implemented in hardware, software, firmware, or any combination of these three. If implemented in software, these functions can be stored on a computer-readable medium or transmitted on a computer-readable medium in the form of one or more instructions or code. Computer-readable media include computer storage media and communication media that facilitate the transfer of computer programs from one place to another. Storage media can be any available media that can be accessed by a general-purpose or special-purpose computer. For example, such computer-readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store program code in the form of instructions or data structures and other forms that can be read by a general-purpose or special-purpose computer, or a general-purpose or special-purpose processor. Furthermore, any connection can be suitably defined as a computer-readable medium, for example, if the software is transmitted from a website, server or other remote resource via a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL) or wirelessly, such as infrared, wireless and microwave, it is also included in the defined computer-readable medium. The disks and discs mentioned include compressed disks, laser discs, optical discs, DVDs, floppy disks, and Blu-ray discs. Disks typically copy data magnetically, while disks typically copy data optically using lasers. Combinations of the above can also be contained in computer-readable media.

[0110] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for evaluating the configuration of bus stops based on intelligent road networks, characterized in that, The method includes: Based on the information collected by the intelligent sensing devices of the intelligent road network, obtain the traffic situation information corresponding to the road where the bus stop to be evaluated is located; A model for assessing the impact of bus stops on intersection traffic is constructed based on traffic situation information of the road where the bus stop to be assessed is located. An assessment model of the impact of bus stops on road traffic is constructed based on information collected by intelligent sensing devices in the intelligent road network. Based on the bus stop impact assessment model on intersection traffic and the bus stop impact assessment model on road segment traffic, the evaluation result of the rationality of the bus stop setting to be evaluated is determined; The step of obtaining traffic situation information corresponding to the road where the bus stop to be evaluated is located based on information collected by the intelligent road network intelligent sensing device includes: Traffic speed information of the road where the bus stop to be evaluated is located is obtained by collecting road condition information through roadside intelligent sensing devices, and the real-time traffic congestion index of the road corresponding to the bus stop to be evaluated is obtained based on the traffic speed information of the road where the bus stop to be evaluated is located. The system identifies and obtains the queue length information of the approach lane of the downstream intersection connecting the road segment where the bus stop is located based on the information collected by the intelligent sensing device at the intersection, and generates a reference value for the average queue length of the road at the downstream intersection based on the queue length information of the approach lane of the downstream intersection. The steps for constructing a bus stop impact assessment model on intersection traffic based on traffic situation information corresponding to the road where the bus stop to be assessed is located include: Based on the reference value of the average queue length of the downstream intersection, the distance of the bus stop from the stop line of the intersection entrance lane, and the enclosed value of the queue length of the bus stop location and the downstream intersection; The consistency evaluation index between vehicle routes and the channelization of the road where the bus stop is located is obtained based on the traffic flow direction and the interval between bus turns on the road segment where the bus stop is located. Based on the station location and the downstream intersection queue length tolerance value and the vehicle route and the road channelization consistency evaluation index of the bus station, an assessment model for the traffic impact of the bus station on the intersection is constructed.

2. The method for evaluating the configuration of bus stops based on intelligent road networks according to claim 1, characterized in that, The method further includes: The evaluation of the inclusiveness of the queue length between the station location and the downstream intersection and the evaluation of the consistency between the vehicle route and the road channelization of the bus stop are revised based on the threshold range in which the queue length inclusiveness value of the station location and the downstream intersection are located.

3. The method for evaluating the configuration of bus stops based on intelligent road networks according to claim 1, characterized in that, The steps for constructing a bus stop impact assessment model on road segment traffic based on traffic situation information corresponding to the road where the bus stop to be assessed is located include: The vehicle type is identified by image information collected by intelligent sensing devices at the roadside and intersections of the intelligent road network, and the number of buses entering the bus station to be evaluated is obtained. An assessment model of the impact of bus stops on road traffic is constructed based on the number of buses entering the bus stops to be evaluated.

4. A bus stop configuration evaluation system based on intelligent road networks, characterized in that, The system includes: The acquisition unit is used to acquire traffic situation information corresponding to the road where the bus stop to be evaluated is located, based on the information collected by the intelligent sensing equipment of the intelligent road network. The construction unit is used to build an assessment model of the impact of the bus stop on the intersection traffic based on the traffic situation information of the road where the bus stop to be assessed is located. The construction unit is also used to construct an assessment model of the impact of bus stops on road traffic based on information collected by intelligent sensing devices of the intelligent road network; The determining unit is used to determine the evaluation result of the rationality of the setting of the bus stop to be evaluated based on the bus stop impact assessment model on intersection traffic and the bus stop impact assessment model on road segment traffic. The acquisition unit is specifically used to acquire traffic speed information of the road where the bus stop to be evaluated is located through road condition information collected by roadside intelligent sensing devices, and to acquire the real-time traffic congestion index corresponding to the road based on the traffic speed information of the road where the bus stop to be evaluated is located; to identify and acquire the queuing length information of the approach lane of the downstream intersection connecting the road segment where the bus stop is located based on the information collected by the intersection intelligent sensing devices, and to generate a reference value for the average queuing length of the road at the downstream intersection based on the queuing length information of the approach lane of the downstream intersection. The construction unit is specifically used to obtain the average queue length reference value of the downstream intersection road, the distance of the bus stop from the stop line of the intersection approach lane, and the tolerance value of the queue length of the bus stop location relative to the downstream intersection; to obtain the consistency evaluation index of the vehicle route and the channelization of the road where the bus stop is located based on the interval between the traffic flow direction and the bus turning on the road segment where the bus stop is located; and to construct an assessment model of the traffic impact of the bus stop on the intersection based on the queue length tolerance value of the bus stop location relative to the downstream intersection and the consistency evaluation index of the vehicle route and the channelization of the road where the bus stop is located.

5. A bus stop configuration evaluation system based on intelligent road networks according to claim 4, characterized in that, The construction unit is also used to correct the evaluation of the queue length inclusiveness of the station location and the downstream intersection and the evaluation of the consistency between the vehicle route and the road channelization of the bus stop based on the threshold range in which the queue length inclusiveness value of the station location and the downstream intersection is located.

6. The bus stop configuration evaluation system based on intelligent road networks according to claim 4, characterized in that, The construction unit is further used to identify vehicle types and obtain the number of buses entering the bus stop to be evaluated by collecting image information from intelligent roadside and intersection intelligent sensing devices of the intelligent road network; and to construct a bus stop impact assessment model on road segment traffic based on the number of buses entering the bus stop to be evaluated.

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