Research On Multi-value Induced Decision Of Urban Road Traffic

The urban road traffic network system is a complex system affected by many factors.Because the system itself is susceptible to various uncertain factors and fluctuates,the urban road traffic has many problems such as safety problems,economic problems,and congestion.Traffic guidance system(TGS)improves the road traffic situation by guiding the traffic flow in the urban road traffic network,and solves or alleviates the traffic problems faced by urban roads.At present,most of the research articles on urban road traffic guidance are aimed at ensuring the smooth flow of roads.The congestion problems faced by urban road traffic are solved by studying the guidance path algorithm and flow distribution,while others are often ignored.Traffic safety,economics and other issues,and due to the unity of the guidance target,make the generation of guidance plans in the process of traffic guidance decision-making is relatively simple.Based on this,this article takes urban road traffic guidance as the research object,and proposes a new research perspective with multiple values as the guidance target.Specifically,from the definition of multiple values,the construction and state division of multiple value objective function models,and the decision-making model based on multiple value objectives,the guidance methods that can alleviate the problems of urban road traffic safety,economy and smoothness are studied.The main contents are:(1)Multi-value definition and basic analysisFirst,by studying the main problems of current urban road traffic,the concept of multiple values is defined.Secondly,it analyzes the traditional traffic guidance process and clarifies the research content of multi-value guidance decision-making.On this basis,the traffic data is classified,the requirements for multiple value induction data and the selection principle of multiple value induction data are clarified,which guarantees the timely accuracy of multiple value induction to a certain extent.Finally,the analysis determined the elements of the multi-value induction scene,including time range,space range,induction target and induction rules.(2)Urban road traffic multi-value objective function model construction and status divisionThrough the analysis of the multi-value influencing factors of urban road traffic,12 safety indicators were selected from the environmental factors of human,vehicle and road.The Analytic Hierarchy Process(AHP)was used to construct a safety value objective function model,and the xx method was used to classify the state of urban road traffic safety.From the perspective of fuel economy cost,time value cost,and transportation operation management cost,an economic value objective function model is constructed,and the economic status of urban road traffic is divided according to the level of urban road service;saturation,speed and design speed are selected The ratio difference and the time occupancy rate are constructed through fuzzy logic(Fuzzy Logic)method to construct a smooth value objective function model,which is divided into three states:smooth,congested,and severely congested.On this basis,the value goals of urban road traffic safety,economy,and smoothness were normalized,and a certain weight was assigned to construct a multi-value objective function model.(3)Induction decision analysis and model establishment based on multiple value objective function modelsThe traffic guidance decision-making process is divided into two processes: the generation of the guidance plan and the choice of the plan.In the process of generating the induction scheme,the selection principle of the multiple value induction nodes was analyzed and the selection method was determined;through the improvement of the ant colony algorithm,a multiple value induction path generation model based on the improved ant colony algorithm was constructed;and the multiple value flow was determined Distribution methods and rules;in the selection process of the induction scheme,the multiple value induction schemes are selected based on the normal rate of urban road network status,road network index and abnormal road network abnormality rate.(4)Instance verificationThe parameters and weights involved in the above models are selected and calibrated,and appropriate experimental sections are selected,and simulation experiments are carried out on the model proposed in this paper.The experimental results show that the normal rate of road network traffic status increased by about 10% after the induction,and the overall index coefficient of the road network also decreased,and the abnormal rate of road network abnormality decreased by about 20%.The constructed multiple valueinduced decision-making The model alleviates the safety,economy and congestion problems of urban road traffic to a certain extent,and has important reference value for urban road traffic management.