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Algorithm Optimization Of Multi-mode Urban Traffic Network

Posted on:2022-02-24Degree:MasterType:Thesis
Country:ChinaCandidate:X T WeiFull Text:PDF
GTID:2492306314981349Subject:Control Engineering
Abstract/Summary:
With the rapid improvement of China’s economic level,the process of urbanization is also accelerating,and the development of the urban transportation network is constantly improving,as a result,it forms a hybrid transportation network of vehicles,subways,buses,and light rails,the situation is of cooperation.And the rapid increase in the number of urban vehicles leads to the serious urban traffic problems,the dynamic allocation of traffic flow is an important method that can effectively alleviate this problem.In the existing dynamic traffic flow allocation models,most of them consider a single mode of travel while ignore the transfer behavior during travel.Therefore,it is urgent to construct a multi-mode urban traffic network allocation model that considers transfer behavior.Use the meso-traffic flow method that combines macrography traffic flow ideas and micro traffic flow ideas to study the multi-travel mode super transportation network.Determine the Nested Logit model as the multi-mode travel choice behavior model,introduce and analyze the structure and solution method of the Nested Logit model,and compare it with the traditional Logit model to conclude that the Nested Logit model is not affected by the traditional Logit model.The limitation of independence of irrelevant schemes can take into account the relevance of the selection schemes,then analyze the advantages and disadvantages of the dynamic user allocation methods,and determine to adopt the variational inequality method as the allocation method,laying a theoretical foundation for the construction of a multi-mode urban transportation network.On the basis of analyzing the characteristics of common vehicles in the city and the characteristics of travelers,a hierarchical network of three modes of transportation of cars,buses and subways is constructed,effective paths are defined,and the method of searching for effective path sets is improved.At the same time,according to the survey data,the Nested Logit model parameters are calibrated,the Nested Logit model considering the dual decision of travel mode and route is established,and a static traffic flow allocation method considering the sensitivity analysis of the traffic transportation parameters of the new node access is proposed.Analyze and verify the effectiveness of this method,give reference to road planning from the perspective of managers,and avoid traffic jams in advance.Explore dynamic traffic flow constraints,construct a link impedance function that includes interference factors from cars and buses,and combine travel selection characteristics and random dynamic equilibrium distribution conditions to construct a random dynamic user allocation model for urban multi-mode travel,and convert it to its equivalent.To solve the model by improving the MSA algorithm,establish a virtual network to verify the model and analyze the parameters,and finally compare the effects of these parameters in the dynamic equilibrium state: parking fee > fuel cost per kilometer > subway departure frequency>the frequency of bus departures,and finally suggestions for alleviating traffic problems based on the research results.
Keywords/Search Tags:Multi-mode Urban Transportation Network, Hierarchical Network, Variational Inequality, Random Dynamic User Optimization
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