A multi-dimensional fusion method and system for urban traffic planning

Abstract

The application discloses a kind of urban traffic planning multidimensional fusion method and system, it is related to urban traffic planning technical field, using the data acquisition module of traffic planning system, real-time collection current traffic planning related traffic data and historical traffic data, using evaluation calculation module, the traffic delay seconds JY that there is correlation influence between each other is calculated in turn output, delay seconds DM, the comprehensive influence value CH of traffic planning to traffic accident, using visual analysis module, the trend of online linear graph of traffic planning comprehensive influence value CH to traffic accident is evaluated, the current multidimensional fusion traffic status is fed back by linear graph in the application, and then the traffic delay condition of different time periods, different regions, vehicle delay condition and the change trend of traffic accident frequency are directly seen visually, according to this, urban traffic planning scheme can be more comprehensively evaluated and optimized, the accuracy and effectiveness of planning scheme are improved, and strong support is provided for the sustainable development of urban traffic.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of urban traffic planning, in particular to a multi-dimensional fusion method and system for urban traffic planning. BACKGROUND

[0002] Urban traffic planning refers to the comprehensive, scientific and reasonable arrangement and organization of urban traffic system planning, design, construction and management. It is to solve urban traffic problems, improve urban traffic efficiency, meet people's travel needs, and promote urban economic and social development. With the acceleration of urbanization, urban traffic problems have become increasingly prominent, traffic congestion, accidents and environmental pollution have become important factors restricting urban development. In order to effectively respond to these challenges, urban traffic planning needs to consider multiple dimensions to optimize traffic flow and improve safety.

[0003] At present, the existing urban traffic planning method often only focuses on a single dimension, ignoring the mutual influence and correlation between them, which leads to the lack of comprehensiveness and systematicness of the planning scheme, and it is difficult to effectively respond to complex urban traffic problems. The data barrier between different departments leads to serious data island phenomenon, making urban traffic planning lack sufficient data support, which limits the accuracy and effectiveness of the planning scheme. In addition, the existing method often plans based on static data, lacks dynamic adjustment mechanism, and as the urban traffic conditions change, the static planning scheme is often difficult to adapt to new traffic demand. In addition, the existing method often lacks intuitive visualization means, making the planning scheme difficult to be understood and accepted by the public. This limits the implementation effect and public participation of the planning scheme. SUMMARY

[0004] The purpose of the present application is to provide a multi-dimensional fusion method and system for urban traffic planning, which solves the problems raised in the background art.

[0005] To achieve the above purpose, the present application provides a multi-dimensional fusion method for urban traffic planning, the specific implementation steps are as follows:

[0006] Step I, using the data acquisition module of the traffic planning system, real-time acquisition of current traffic planning related traffic data and historical traffic data;

[0007] Step II, using the evaluation calculation module, sequentially calculating the traffic delay seconds JY, the delay seconds DM and the comprehensive influence value CH of traffic planning caused by traffic accidents that exist between each other;

[0008] Step III, using the visualization analysis module, evaluating the trend of the comprehensive influence value CH of traffic planning caused by traffic accidents on the online line chart;

[0009] Step III, based on the trend of the comprehensive influence value CH of the traffic accident on the line graph, the road small area repair frequency XP, the delay seconds DM, the annual number of traffic accidents HC are comprehensively evaluated, and a new round of traffic multidimensional planning is carried out;

[0010] The evaluation calculation module includes a quantitative road repair problem influence on traffic planning unit, an evaluation population density traffic additional influence unit, and a quantitative traffic accident frequency comprehensive influence unit.

[0011] Optionally, the data acquisition module uses devices including data acquisition devices, data acquisition devices including cameras, sensors, traffic flow monitors, and the data acquisition module is used to collect traffic data.

[0012] The evaluation calculation module uses devices including computing devices, computing devices including servers and workstations, and the evaluation calculation module is used to run calculations and evaluations.

[0013] The visualization analysis module uses devices including visualization devices, visualization devices including large screen displays and touch screens, and the visualization analysis module is used to display line graphs and traffic multidimensional planning results.

[0014] Optionally, the calculation formula of the quantitative road repair problem influence on traffic planning unit is as follows:

[0015]

[0016] XP = XC / YT;

[0017] Wherein:

[0018] JY is the traffic delay seconds;

[0019] XP is the road small area repair frequency;

[0020] XC is the monthly repair times, YT is the total number of days, and YT reflects the total number of days in the month;

[0021] L is the total length of the road;

[0022] S avg is the average single-day repair time;

[0023] H is the single-day working hours, which is set to 8 hours of working time.

[0024] Optionally, the calculation formula of the average single-day repair time S avg is as follows:

[0025] S avg = (S1+S2+S3+......+S xc) / XC;

[0026] Monthly repair times XC reflects the total number of road repairs in the current month;

[0027] S1 is the time it takes for the first road repair in a single day, S2 is the time it takes for the second road repair in a single day, and S3 is the time it takes for the third road repair in a single day. xc Repair the road for the first XC in a single day.

[0028] Optionally, the calculation formula for evaluating the additional traffic impact of population density is as follows:

[0029]

[0030] RM=RL / M;

[0031] CS = M / CM;

[0032] in:

[0033] DM is the delay in seconds, which reflects the number of seconds that vehicles are delayed due to population density when the green light just comes on;

[0034] RM is the current population density;

[0035] RL is the current total number of people, which reflects the total number of people waiting to pass on both sides of the traffic light;

[0036] LD is the green light duration;

[0037] M is the total area, which reflects the total area of ​​the road currently controlled by traffic lights;

[0038] CS is the maximum vehicle capacity, which reflects the total number of vehicles that can be parked and waiting for traffic lights within the total area M;

[0039] CM is the parking area occupied by a single vehicle. CM reflects the total area occupied by a single vehicle and the safe distance between the front and rear vehicles.

[0040] Optionally, the calculation formula for the quantified traffic accident frequency on the comprehensive traffic impact unit is as follows:

[0041]

[0042] in:

[0043] CH is the comprehensive impact of traffic accidents on traffic planning;

[0044] HC is the number of traffic accidents per year;

[0045] N is the total number of years the road is in use.

[0046] Optionally, the traffic accident comprehensive influence value CH is presented on a line chart, and the traffic planning is analyzed as follows:

[0047] If the traffic accident comprehensive influence value CH continuously rises on the line chart, it indicates that the traffic condition is deteriorating, and the road small area repair frequency XP, the delay seconds DM, and the annual traffic accident number HC should be comprehensively evaluated to perform a new round of traffic multi-dimensional planning.

[0048] If the traffic accident comprehensive influence value CH continuously decreases or remains flat on the line chart, it indicates that the traffic condition is improving and tends to remain stable, and the current traffic multi-dimensional planning should be maintained.

[0049] Optionally, based on the continuous rise of the traffic accident comprehensive influence value CH on the line chart, the road small area repair frequency XP, the delay seconds DM, and the annual traffic accident number HC are evaluated and the multi-dimensional planning is as follows:

[0050] Road small area repair frequency XP

[0051] If the road small area repair frequency XP continuously rises on the line chart, it indicates that the current traffic section has serious damage problems, and the traffic planning system should remind to increase the repair effort to reduce the road small area repair frequency XP.

[0052] If the road small area repair frequency XP continuously decreases or remains flat on the line chart, it indicates that the current traffic section has good road quality, and the maintenance of the current road section should be maintained.

[0053] Delay seconds DM

[0054] If the delay seconds DM continuously rises on the line chart, it indicates that the current population density RM is high and the green light duration LD is short, and the traffic planning system should increase the green light duration LD of the current section.

[0055] If the delay seconds DM continuously decreases or remains flat on the line chart, it indicates that the current population density RM and the green light duration LD are in a balanced state, and the traffic planning system should maintain the green light duration LD of the current section.

[0056] Annual traffic accident number HC

[0057] If the annual traffic accident number HC continuously rises on the line chart, it indicates that the current traffic section has serious traffic accident problems, and the traffic planning system should remind to increase the patrol and traffic command to reduce the annual traffic accident number HC.

[0058] If the number of traffic accidents per year HC continues to decline and remains flat on the online linear graph, it indicates that the current traffic section has few traffic accident problems, and the current patrol and traffic command strength should be maintained.

[0059] The present application provides a kind of urban traffic planning multidimensional fusion system, comprising: data acquisition module, evaluation calculation module, visual analysis module;

[0060] The data acquisition module is used to collect traffic data;

[0061] The evaluation calculation module includes the calculation and evaluation of the quantitative road repair problem impact on traffic planning unit, the evaluation of population density traffic impact on traffic additional unit and the quantitative traffic accident frequency impact on traffic comprehensive unit;

[0062] The visual analysis module is used to evaluate and present the traffic accident impact on traffic planning comprehensive influence value CH, road small area repair frequency XP, delay seconds DM and the number of traffic accidents per year HC on the online linear graph calculated and output by the evaluation calculation module

[0063] Compared with the prior art, the present application has the following advantages:

[0064] Firstly, the present application realizes multidimensional fusion analysis of urban traffic planning problems by quantifying the mutual correlation and cyclic influence mechanism of road repair problem impact on traffic planning unit, population density traffic impact on traffic additional unit and quantitative traffic accident frequency impact on traffic comprehensive unit, which helps to more comprehensively evaluate and optimize urban traffic planning scheme, improve the accuracy and effectiveness of planning scheme, and further break down the data barriers between different departments to realize data sharing and integration, which helps to provide sufficient data support for urban traffic planning and improve the scientificity and reliability of planning scheme.

[0065] Secondly, the present application is based on real-time traffic data and historical traffic data, which realizes dynamic adjustment of planning scheme, helps to adapt to the changing urban traffic conditions, and improves the adaptability and flexibility of planning scheme.

[0066] Thirdly, the present application uses linear graph visualization evaluation analysis means to intuitively display the key indicators of traffic accident impact on traffic planning comprehensive influence value CH, road small area repair frequency XP, delay seconds DM and the number of traffic accidents per year HC, which helps to improve the planning scheme and further improve the implementation effect of planning scheme. BRIEF DESCRIPTION OF DRAWINGS

[0067] Figure 1 The flowchart of the present application is shown in the figure.

[0068] Figure 2The structural schematic diagram of the evaluation calculation module for the present application;

[0069] Figure 3 The schematic diagram of the cyclic feedback structure of the multi-dimensional fusion method for urban traffic planning;

[0070] Figure 4 The comprehensive linear schematic diagram of the comprehensive influence value CH of car accidents on traffic planning, the small-area repair frequency XP of roads, the delay seconds DM, and the annual number of car accidents HC. DETAILED DESCRIPTION

[0071] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0072] Regarding the multi-dimensional fusion method for urban traffic planning, it is different from the existing urban traffic planning methods and systems. The existing urban traffic planning methods ignore the mutual influence and correlation between traffic data and sufficient data support, lack comprehensiveness and systematicness, and also lack dynamic adjustment mechanism and intuitive visualization means. The algorithm unit of the present application can feed back the current multi-dimensional fusion traffic status through a linear graph, so that the traffic delay situation, vehicle delay situation, and change trend of car accident frequency in different time periods and different regions can be intuitively seen, thereby the urban traffic planning scheme can be more comprehensively evaluated and optimized, the accuracy and effectiveness of the planning scheme can be improved, and strong support can be provided for the sustainable development of urban traffic.

[0073] Embodiment one, please refer to Figures 1 to 4 The present embodiment provides a multi-dimensional fusion method for urban traffic planning, and the specific implementation steps are as follows:

[0074] Step I, using the data acquisition module of the traffic planning system, real-time acquisition of current traffic planning related traffic data and historical traffic data;

[0075] Step II, using the evaluation calculation module, sequentially calculating the traffic delay seconds JY, the delay seconds DM, and the comprehensive influence value CH of car accidents on traffic planning which exist correlation and influence between each other;

[0076] Step III, using the visualization analysis module, evaluating the trend of the comprehensive influence value CH of car accidents on traffic planning in the linear graph;

[0077] Step III, based on the trend evaluation of the traffic planning comprehensive influence value CH of the car accident on the line graph, the road small area repair frequency XP, the delay seconds DM, the annual number of car accidents HC are comprehensively evaluated and a new round of traffic multidimensional planning is carried out;

[0078] The evaluation calculation module includes a quantitative road repair problem influence on traffic planning unit, an evaluation of population density traffic additional influence on traffic unit and a quantitative car accident frequency comprehensive influence on traffic unit;

[0079] The data acquisition module uses devices including data acquisition devices, which include cameras, sensors, traffic flow monitors, and the data acquisition module is used to collect traffic data;

[0080] The evaluation calculation module uses devices including computing devices, which include servers and workstations, and the evaluation calculation module is used to run calculations and evaluations;

[0081] The visualization analysis module uses devices including visualization devices, which include large screen displays and touch screens, and the visualization analysis module is used to display line graphs and traffic multidimensional planning results;

[0082] A multidimensional fusion system of a city traffic planning multidimensional fusion method, comprising: a data acquisition module, an evaluation calculation module, and a visualization analysis module;

[0083] The data acquisition module is used to collect traffic data;

[0084] The evaluation calculation module is used to run calculations and evaluations of the quantitative road repair problem influence on traffic planning unit, the evaluation of population density traffic additional influence on traffic unit and the quantitative car accident frequency comprehensive influence on traffic unit;

[0085] The visualization analysis module is used to evaluate and present the traffic planning comprehensive influence value CH of the car accident, the road small area repair frequency XP, the delay seconds DM, and the annual number of car accidents HC calculated and output by the evaluation calculation module on the line graph.

[0086] In this embodiment, the traffic planning system realizes multidimensional fusion and overall evaluation of city traffic planning through the coordinated work of data acquisition, calculation, visualization modules and units, and feeds back the current traffic status through the line graph. The traffic planning system can timely find and solve potential problems in traffic planning, improve the efficiency and safety of city traffic.

[0087] In this embodiment, the system is composed of three algorithm units that work together to form a complete multi-dimensional fusion system for urban traffic planning. The combination of JY, DM, and CH results helps to achieve intelligent, efficient, and safe urban traffic. JY calculates the traffic delay time caused by small-area road repairs, which is crucial for the smoothness and efficiency of urban traffic. DM assesses the delay time of vehicles at traffic lights, providing data support for optimizing traffic light configurations and adjusting signal control strategies, thereby reducing vehicle delay and improving traffic flow and safety. CH evaluates the comprehensive impact of traffic accidents on traffic planning, providing scientific guidance for optimizing traffic planning and reducing traffic accidents to improve traffic efficiency and safety. Additionally, CH considers the impact of road repairs and traffic light delays on traffic accident frequency, ensuring the accuracy and reliability of the evaluation results. Based on the trends of small-area road repair frequency XP, delay seconds DM, annual number of traffic accidents HC, and comprehensive impact of traffic accidents on traffic planning CH on the online linear graph, the traffic planning system can achieve more accurate and multi-dimensional adjustments to traffic planning.

[0088] Please refer to Figures 1 to 4 The calculation formula of the quantitative road repair problem impact on traffic planning unit is as follows:

[0089]

[0090] XP = XC / YT;

[0091] Wherein:

[0092] JY is the traffic delay seconds;

[0093] XP is the small-area road repair frequency;

[0094] XC is the monthly repair times, and YT is the number of days, reflecting the total number of days in the month;

[0095] L is the total length of the road;

[0096] S avg is the average repair time per day;

[0097] H is the number of working hours per day, set to 8 hours of working time;

[0098] The calculation formula of the average repair time per day S avg is as follows:

[0099] S avg = (S1 + S2 + S3 +... + S xc ) / XC;

[0100] Monthly repair times XC reflects the total number of road repairs in the current month;

[0101] S1 is the time it takes for the first road repair in a single day, S2 is the time it takes for the second road repair in a single day, and S3 is the time it takes for the third road repair in a single day. xc Repair the road for the first XC in a single day.

[0102] In this embodiment: First, in this algorithm unit The calculation part calculates the frequency of small-area repairs on the total length of road L. By dividing the small-area repair frequency XP by the square root of the total length of road L, it helps to evaluate the local impact of repair work on traffic delays. This calculation part is a key factor in quantifying the impact of road repair problems on traffic planning units, and is related to the average repair time per day S. avg The product of the number of working hours per day H, that is, Together, these calculations determine the traffic delays caused by small road repairs;

[0103] This algorithm unit comprehensively introduces the total length of the road L, the frequency of small area repair of the road XP, the average time of single-day repair S avg and the number of working hours per day H, which enables the unit for quantifying the impact of road repair issues on traffic planning to accurately calculate the traffic delays caused by small-area road repairs, thereby providing accurate delay data. These data not only help to understand the current traffic situation, but also provide a predictive basis for future traffic planning;

[0104] By quantifying the impact of road repair issues on traffic planning, we can more scientifically adjust repair strategies. Specifically, we can rationally schedule repair times and the frequency of small-area repairs based on road conditions and traffic flow to reduce disruption to traffic. Furthermore, this data can guide the allocation of repair resources to ensure efficient repair work.

[0105] By reducing traffic delays caused by repairs, quantifying the impact of road repair issues on traffic planning can help improve the overall efficiency of urban traffic and reduce congestion.

[0106] See also Figures 1 to 4 The calculation formula for evaluating the additional impact of population density on traffic is as follows:

[0107]

[0108] RM=RL / M;

[0109] CS = M / CM;

[0110] in:

[0111] DM is the delay seconds, DM reflects the delay seconds of the running vehicles caused by the population density when the green light just lights up;

[0112] RM is the current population density;

[0113] RL is the current total population, RL reflects the total population waiting for traffic on both sides of the current road traffic light;

[0114] LD is the green light duration;

[0115] M is the total area, M reflects the total area of the current road controlled by the traffic light;

[0116] CS is the maximum vehicle capacity, CS reflects the total capacity of the vehicles parked and waiting for the traffic light in the total area M;

[0117] CM is the single vehicle area, CM reflects the total area occupied by a single vehicle and the safe distance before and after.

[0118] In this embodiment, first The calculation part considers the influence of the current population density RM and the maximum vehicle capacity CS at the traffic light on the delay of the vehicle when the green light just lights up. The larger the current population density RM, the longer the vehicle needs to wait. The smaller the maximum vehicle capacity CS, the fewer the number of vehicles that can pass immediately when the green light lights up, which will also cause the delay time to increase. This part is multiplied by the traffic delay seconds JY of the quantified road repair problem affecting the traffic planning unit to calculate the delay seconds DM caused by the population density and vehicle capacity at the traffic light;

[0119] The calculation part is extracted from the quantified road repair problem affecting the traffic planning unit to reduce the repeated calculation caused by repair. It represents the delay time per hour per kilometer of road caused by repair, that is, the same calculation logic as in the quantified road repair problem affecting the traffic planning unit, but here it is used as an adjustment term to subtract from the total delay time;

[0120] This algorithm unit evaluates the population density traffic additional impact unit. Not only the population density RM and the green light duration LD at the traffic light are introduced, but also the total area M of the traffic light control area, the maximum vehicle capacity CS and the additional delay adjustment term caused by road repair. This comprehensive consideration makes the evaluation result more accurate and reliable;

[0121] Based on the evaluation results of the population density passing through the traffic additional impact unit, it is beneficial to scientifically adjust the configuration and signal control strategy of the traffic light. Specifically, the traffic planning system reduces the vehicle delay time and improves the traffic flow by increasing the green light duration LD, optimizing the red light interval, and improving the traffic signal control strategy.

[0122] Please refer to Figures 1 to 4 The calculation formula of the traffic comprehensive impact unit quantifying the frequency of car accidents is as follows:

[0123]

[0124] Among them:

[0125] CH is the traffic planning comprehensive impact value of car accidents;

[0126] HC is the number of car accidents per year;

[0127] N is the total annual road use.

[0128] In this embodiment, the algorithm unit first calculates the population density passing through the traffic additional impact unit based on the evaluation results of the population density passing through the traffic additional impact unit. The calculation part adds the delay seconds DM of the current population density passing through the traffic additional impact unit and the number of car accidents HC per year divided by the total annual road use N of the road to calculate the total impact caused by red light delay and car accidents, and to measure the comprehensive impact of car accidents and red light delay on traffic planning. The calculation part considers the proportion of all-day delay caused by road repair. Since repair work is usually carried out during the day and occupies a certain time, it will cause traffic delay throughout the day. Here, represents the proportion of all-day delay time caused by repair to the delay time caused by each repair, making it more in line with the actual situation, and by multiplying the comprehensive impact considering the all-day delay caused by repair is obtained;

[0129] The algorithm unit in this embodiment comprehensively considers the number of car accidents HC per year, the total annual road use N, the delay caused by road repair, and the red light delay time factor by quantifying the frequency of car accidents, providing a comprehensive evaluation basis for urban traffic planning, which helps to more comprehensively understand the effect and problems of traffic planning;

[0130] Based on the evaluation results of the quantitative traffic accident frequency on the traffic comprehensive impact unit, it is helpful to identify the weak links and potential risk points in traffic planning, including accident-prone road sections and traffic congestion areas. These data provide scientific basis and decision support for planning adjustment and optimization, reduce traffic accidents and traffic congestion, and improve the efficiency and safety of urban traffic through optimizing traffic planning, and promote the sustainable development of cities.

[0131] Example two, please refer to Figures 1 to 4 , based on the traffic planning comprehensive impact value CH of the traffic accident on the online linear graph, and the analysis of traffic planning is as follows:

[0132] If the traffic accident comprehensive impact value CH of the traffic planning in the month is continuously rising on the online linear graph, it shows that the traffic situation is deteriorating, and the road small area repair frequency XP, delay seconds DM and annual number of traffic accidents HC should be evaluated and a new round of traffic multi-dimensional planning should be carried out;

[0133] If the traffic accident comprehensive impact value CH of the traffic planning in the month is continuously declining and keeping flat on the online linear graph, it shows that the traffic situation is improving and tends to be stable, and the current traffic multi-dimensional planning should be maintained;

[0134] Based on the continuous rise of the traffic accident comprehensive impact value CH of the traffic planning in the month on the online linear graph, the road small area repair frequency XP, delay seconds DM and annual number of traffic accidents HC are evaluated and the multi-dimensional planning is as follows:

[0135] Road small area repair frequency XP

[0136] If the road small area repair frequency XP is continuously rising on the online linear graph, it shows that there is serious damage problem in the current traffic section, and the traffic planning system should remind to increase the repair effort to reduce the road small area repair frequency XP;

[0137] If the road small area repair frequency XP is continuously declining and keeping flat on the online linear graph, it shows that the road quality of the current traffic section is good, and the maintenance of the current road section should be maintained;

[0138] Delay seconds DM

[0139] If the delay seconds DM is continuously rising on the online linear graph, it shows that the current population density RM is high and the green light duration LD is short, and the traffic planning system should increase the green light duration LD of the current section;

[0140] If the delay seconds DM is continuously declining and keeping flat on the online linear graph, it shows that the current population density RM and the green light duration LD are in a balanced state, and the traffic planning system should maintain the green light duration LD of the current section.

[0141] HC

[0142] If the HC continues to rise on the line chart, it indicates that there is a serious traffic accident problem on the current traffic section, and the traffic planning system should remind to increase the patrol and traffic command to reduce the HC;

[0143] If the HC continues to decline and remains flat on the line chart, it indicates that there is less traffic accident problem on the current traffic section, and the current patrol and traffic command strength should be maintained.

[0144] In this embodiment, in the previous description, the quantitative traffic accident frequency impact on traffic comprehensive impact unit The adjustment of the road small area repair frequency XP on the traffic accident frequency impact has actually implied the feedback of the quantitative traffic accident frequency impact on traffic comprehensive impact unit to the quantitative road repair problem impact on traffic planning impact unit, however, this feedback is indirect and not directly reflected in the update and adjustment of the quantitative road repair problem impact on traffic planning impact unit, to more intuitively reflect this feedback, in actual application, after calculating the traffic accident impact on traffic planning comprehensive impact value CH through the quantitative traffic accident frequency impact on traffic comprehensive impact unit, the effect of the current traffic planning can be evaluated according to the trend of the traffic accident impact on traffic planning comprehensive impact value CH on the line chart,

[0145] Specifically, if the traffic accident impact on traffic planning comprehensive impact value CH continues to rise, it means that the traffic condition is deteriorating, at this time, the cause of the rise of the traffic accident impact on traffic planning comprehensive impact value CH needs to be further analyzed, since the traffic accident impact on traffic planning comprehensive impact value CH is determined by the road small area repair frequency XP, the delay seconds DM and the annual traffic accident frequency HC, therefore, the root cause of the problem can be found by examining the changes of these factors respectively;

[0146] In particular, if the delay seconds DM rises linearly within a month, it indicates that the population density at the traffic light is too high and the green light duration LD is not reasonable, in order to alleviate this situation, the traffic planning system can consider adjusting the timing scheme of the traffic light, specifically, increasing the green light duration LD and reducing the red light duration, to better adapt to the changes of traffic flow, at the same time, the pedestrian crossing time can also be adjusted accordingly to ensure the traffic efficiency of pedestrians and vehicles;

[0147] In addition, if the road small area repair frequency XP rises linearly within a month, it means that there are more problems and serious damage on the current road, at this time, the traffic planning system needs to strengthen the patrol and maintenance of the road, to find and repair the damaged parts of the road in time, to reduce the delay and impact on traffic;

[0148] It is worth mentioning that the application of the linear graph can more intuitively reflect the effect and change trend of the traffic planning. The traffic planning system can more intuitively understand the effect and problems of the traffic planning and make corresponding improvement measures and adjustment schemes according to the change trend of the indexes such as the comprehensive influence value CH of the traffic planning on the traffic accidents, the road small area repair frequency XP, the delay seconds DM and the annual number of traffic accidents HC displayed by the linear graph.

[0149] In addition, the cyclic feedback mechanism of the embodiment allows the traffic planning system to dynamically adjust the traffic planning according to the real-time data. Specifically, when the delay seconds DM value is found to rise, the traffic planning system can timely adjust the timing scheme of the traffic light to adapt to the change of the traffic flow. Similarly, when the road small area repair frequency XP value rises, the traffic planning system can strengthen the patrol and maintenance of the road to timely find and repair the damaged parts of the road. Through the cyclic feedback mechanism, the traffic planning system can more reasonably allocate the traffic management resources. At the same time, the traffic planning system can also optimize the layout and configuration of the traffic facilities according to the change of the traffic flow to improve the traffic capacity and safety of the road. The cyclic feedback mechanism makes the traffic planning more flexible and efficient. Through real-time monitoring and analysis of the change trend of the key indexes, the traffic planning system can timely find and correct the deficiencies and deviations in the planning, which not only helps to improve the scientificity and rationality of the traffic planning, but also effectively reduces the economic loss and social influence caused by traffic congestion and traffic accidents.

[0150] In summary, the evaluation and cyclic feedback mechanism under comprehensive consideration and the feedback method using the linear graph have significant beneficial effects in traffic planning. They not only help the traffic planning system to accurately locate the problem source, dynamically adjust the traffic planning, optimize the resource allocation and improve the efficiency of the traffic planning, but also intuitively reflect the change trend, support decision making and enhance the public participation. Therefore, in the traffic planning practice, the traffic planning system should fully utilize these methods and tools to continuously improve the scientificity and rationality of the multi-dimensional integrated traffic planning.

[0151] Although the embodiments of the present application have been shown and described, it can be understood by those skilled in the art that various changes, modifications, replacements and variations can be made to the embodiments without departing from the principles and spirits of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A multi-dimensional fusion method for urban transportation planning, characterized by: The specific implementation steps are as follows: Step 1: Using the data acquisition module of the traffic planning system, real-time traffic data related to the current traffic planning and historical traffic data are collected; Step II: using the evaluation calculation module, sequentially calculate and output the traffic delay seconds JY, the delay seconds DM, and the comprehensive impact value CH of the traffic accident on traffic planning, which are correlated with each other; Step III: Use the visualization analysis module to evaluate the trend of the comprehensive impact value (CH) of traffic accidents on traffic planning in the line graph; Step III: Based on the trend assessment of the comprehensive impact of traffic accidents on traffic planning (CH) on the linear graph, conduct a comprehensive assessment of the frequency of small road repairs (XP), delays (DM), and the annual number of traffic accidents (HC), and initiate a new round of multi-dimensional traffic planning. The evaluation and calculation module includes a unit for quantifying the impact of road repair problems on traffic planning, a unit for evaluating the additional impact of population density on traffic, and a unit for quantifying the comprehensive impact of traffic accident frequency on traffic. The calculation formula for quantifying the impact of road repair problems on traffic planning units is as follows: ； XP=XC / YT; in: JY is the traffic delay in seconds; XP is the frequency of small-area repairs on roads; XC is the number of monthly repairs, YT is the number of days, and YT reflects the total number of days in the month; L is the total length of the road; S avg The average time for repair in a single day; H is the number of working hours per day, which is set to 8 hours; The average repair time per day S avg The calculation formula is as follows: S avg =(S1+S2+S3+......+S xc ) / XC; Monthly repair times XC reflects the total number of road repairs in the current month; S1 is the time it takes for the first road repair in a single day, S2 is the time it takes for the second road repair in a single day, and S3 is the time it takes for the third road repair in a single day. xc A single day of repairing the road for the XC; The calculation formula for evaluating the additional traffic impact of population density is as follows: ； RM=RL / M; in: DM is the delay in seconds, which reflects the number of seconds that vehicles are delayed due to population density when the green light just comes on; RM is the current population density; RL is the current total number of people, which reflects the total number of people waiting to pass on both sides of the traffic light; LD is the green light duration; M is the total area, which reflects the total area of ​​the road currently controlled by traffic lights; CS is the maximum vehicle capacity, which reflects the total number of vehicles that can be parked and waiting for traffic lights within the total area M; The calculation formula for the quantified traffic accident frequency on the comprehensive traffic impact unit is as follows: ； in: CH is the comprehensive impact of traffic accidents on traffic planning; HC is the number of traffic accidents per year; N is the total number of years of road use; Based on the trend of the comprehensive impact value CH of traffic accidents on traffic planning, the analysis of traffic planning is as follows: If the comprehensive impact of traffic accidents on traffic planning (CH) continues to rise on the linear graph within the month, it indicates that traffic conditions are deteriorating. A comprehensive assessment of the frequency of small road repairs (XP), delays (DM), and the annual number of traffic accidents (HC) should be conducted to initiate a new round of multi-dimensional traffic planning. If the comprehensive impact of traffic accidents on traffic planning (CH) continues to decline and remains flat on the linear graph within the month, it indicates that traffic conditions are improving and tending to remain stable, and the current multi-dimensional traffic planning should be maintained; Based on the fact that the comprehensive impact value CH of traffic accidents on traffic planning continues to rise on the linear graph during the month, and the evaluation of the frequency of small road repairs XP, the number of delays DM, and the number of traffic accidents per year HC, the multi-dimensional planning based on this is as follows: Frequency of small road area repairs XP If the frequency of small road repairs XP continues to rise on the line graph, it indicates that there is serious damage to the current traffic section. The traffic planning system should remind people to increase the repair efforts to reduce the frequency of small road repairs XP. If the frequency of small-area road repairs XP continues to decrease and remains flat on the linear graph, it indicates that the road quality of the current traffic section is good and maintenance of the current road section should be maintained; Delay seconds DM If the delay seconds DM continues to rise on the line graph, it means that the current population density RM is high and the green light duration LD is short. The traffic planning system should increase the green light duration LD for the current road section. If the delay seconds DM continues to decrease and remains flat on the linear graph, it indicates that the current population density RM and the green light duration LD are in a balanced state, and the traffic planning system should maintain the green light duration LD for the current road section; Number of traffic accidents per year HC If the annual number of traffic accidents HC continues to rise on the line graph, it indicates that there is a serious traffic accident problem on the current traffic section. The traffic planning system should remind people to increase patrols and traffic control to reduce the annual number of traffic accidents HC. If the annual number of traffic accidents HC continues to decline and remains flat on the linear graph, it means that there are few traffic accident problems on the current traffic section and the current inspection and traffic control efforts should be maintained.

2. The multi-dimensional fusion method for urban transportation planning according to claim 1 is characterized in that: The equipment used by the data acquisition module includes a data acquisition device, which includes a camera, a sensor, and a traffic flow monitor. The data acquisition module is used to collect traffic data; The equipment used by the evaluation and calculation module includes computing equipment, including servers and workstations, and the evaluation and calculation module is used to perform calculations and evaluations; The equipment used by the visualization analysis module includes visualization equipment, which includes a large-screen display and a touch screen. The visualization analysis module is used to display line graphs and multi-dimensional traffic planning results.

3. A multidimensional fusion system for implementing the multidimensional fusion method for urban traffic planning according to claim 1, characterized in that: Including data acquisition module, evaluation calculation module, and visual analysis module; The data acquisition module is used to collect traffic data; The evaluation and calculation module includes a unit for quantifying the impact of road repair problems on traffic planning, a unit for evaluating the additional impact of population density on traffic, and a unit for quantifying the comprehensive impact of traffic accidents on traffic. The visualization analysis module is used to evaluate and present the comprehensive impact value CH of traffic accidents on traffic planning, the frequency of small road repairs XP, the number of delay seconds DM, and the number of traffic accidents per year HC calculated and output by the evaluation and calculation module on a linear graph.

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