Urban Transport-Ation Network Design Optimization

How to get suitable, scientific, systemic and optimal transport investment projects with the view of the whole transport conditions, to improvr urban transport conditions and bring along the development of all the economic activities of the city through these reasonable traffic investment assignment schemes and to get harmony between limited capitals and traffic construction is a big problem that is important to the long-term, continuance,rapid, steady and correspond developments of the nation's economy. Therefore, the transport network design problem has not only theorectic values but also application values, It has wide application foreground. In this thesis, optimization methods for network design problem are discussed based on existing studies, in the need to translate words in the construction center of the fund finances.Urban transport network design problem is to get certain optimal guideline of the whole road network by improving the capacity of some roads or constructing new roads in the existing network with the road choosing behaviors of the network users under the user equilibrium principle. Improving the capacity of some roads was called Continuous Network Design Problem and constructing new roads was called Discrete Network Design Problem.Designinge effective algorithms for network design problem is an important problem in transportation studies.In this thesis, optimization methods for network design problem are discussed based on existing studies.The main work and research results of this thesis as folloes:1,In the transportation system, traffic flow assignment is the core of the traffic regulation and path choice problems. Introduced the transportation port question, and proposed the traffic equilibrium assignment model. Discussed the balanced port two kinds of models:User Equilibrium model and System Optimum model. This paper applies QEA to settle the problem of solving the model through two simple example, The results of calculation examples show that QEA is superior to the previous other conventional evolutionary algorithms.2,The solution algorithms for classical transportation continuous/discrete network design problems are designed based on quantum evolutionary algorithm, in which the continuous network design problem is studied in detail, A bi-level programming model for continuous network design problem is introduced.The objeetive function at the upper level is defined as the sum of the total travel time on the network, and the total investment costs of link capacity expansions:the lower level problem is the user equilibrium assignment model. As to issues existing in the continuously balanced network design under fixed demanding conditions while adopting a double-layer planning model, this paper brings forward a solutive algorigthm based on QEA, and presents two simple example to account for its feasibility.3,The municipal transportation network design question's double-decked model's lower level question belongs has the constraints optimization, this article carries on revision processing to the lower level road section impedance function, has the restraint to transform into the non-restraint optimized question.4,With the quantum evolution algorithm solution separate network design question, has used under the double-decked planning model description fundamental mode municipal transportation separate network design question, carries on the different road section transformation rank with a network example chart the simulation experiment.