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The Strategy Of Optimization And Planning For Urban Traffic Network

Posted on:2006-04-23Degree:DoctorType:Dissertation
Country:ChinaCandidate:X ChenFull Text:PDF
GTID:1119360182470554Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Traffic that is the lifeline of urban is necessary for the urban development. It is not only the important symbol of urban modernization but also essential guarantee for urban sustainable development. Urban traffic is the mainstay of urban economical and social development. Urban economic development is close to the traffic network planning and optimization. Along with the rapid economic development of our country; the patterns of urban development have been greatly changed. To catch for this change, lots of transportation systems and traffic network are under planning and construction. The traffic network planning and optimization reflect more and more changing emphasis from purely technical and economic solutions to broader system planning approaches. In order to make urban traffic investments and policies more effective, it is necessary to analysis and studies traffic network planning and optimization. The economic increment activates the construction and improvement of traffic network, provide the capital and technical support, similarly the construction and improvement of traffic network provide guarantee for economic increment. This thesis therefore presents and discusses my research and application fruit of traffic network planning and optimization based on the theory of this field. Firstly, the article introduces the reasons of choosing this topic, analysis the experiences and lessons in traffic planning of our cities, and summarizes related theories on traffic network planning and optimization, then introduce the research route and structure of the paper. Secondly, the article introduces and summarizes the traffic demand forecasting and distribution models, then analysis their characters because they are the foundation and precondition of urban traffic network planning and optimization. Thirdly, according to the transportation sustainable development theory and Manheim's traffic system theory, this article research the relation between the traffic network and land utilization, discusses the traffic planning under the multi-centers urban planning., then proposes land utilization-traffic integrative dynamic planning and optimization model. Fourthly, based the traffic sustainable development theory, a planning approach is presented, which adopts objective-evaluation analysis as its core in network planning. The approach combines with several advantages of existing planning methods. The planning approach applies planning objectives as the guidance of infrastructure planning and uses the procedure of defining network construction scale-layout-route-node as a comprehensive planning method, which based on the traffic volume forecasting results and project evaluation. Fifthly, the main goal of the evaluation method for the urban traffic network layout is to evaluate its rationality and validity. Applying AHP, this article establishes the evaluation system of urban network layout. This system which has three sub system:infrastructure, pass depth and service level can reflect traffic network layout characters. Sixthly, to adapt the increment of traffic demand, this article proposes urban traffic network capacity multi-stage expansion model and its heuristic algorithm. In order to improvement the traffic public service to satisfy the increasing demand, the traffic public service capacity expansion model and heuristic algorithm are given. Seventhly, taking the traffic network planning in GongYi as an example, the technical process, objectives, and principles of network layout and technical evaluation framework of the planning are put forward. Finally, this article presents conclude the main content and innovated points and presents a prospect on further studies.
Keywords/Search Tags:Traffic Network, Planning and Optimization, Objective-Evaluation, Capacity Expansion Models and Algorithm
PDF Full Text Request
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