基于擴(kuò)展Logit的交通分配模型與算法研究
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[Abstract]:With the increasing supply and demand of urban traffic, the problem of traffic has become one of the main bottlenecks that restrict the development of the city. In ord to solve that traffic problem and improve the traffic condition, the government departments at all levels, from the two aspects of transportation supply and demand, continuously increase the construction of the transportation infrastructure and improve the management level of the traffic demand. To ensure that traffic planning and management measures achieve the best effect to some extent, it is necessary to adopt advanced traffic planning theory and method to assist in decision-making. The traffic distribution model is one of the important content of the modern traffic planning theory, and it is also a core technology in the study of urban road traffic network design and congestion road charging. In this background, the paper mainly focuses on the urban traffic network, which can describe the traffic distribution model of the pedestrian's path selection behavior more accurately and apply it to the study of the traffic network design and the congestion road charging, so that this paper will form a more complete system. In order to provide some support for the decision-making of traffic management and planners. The following aspects are mainly completed in this paper: (1) In order to overcome the independence (II A) of the unrelated alternatives existing in the traffic distribution model based on the traditional Logit, the path-aware Loit (RPL-O) model and the path-scale modified Loit (PSCL) mode considering the path overlap are adopted. The random user equilibrium model based on RPL-O and PSCL is constructed, and the equivalence of the model and the uniqueness of the solution are proved. The path-based successive average method (MSA), the continuous weight average method (MSWA) and the automatic adjustment average method (SRA) are designed to solve the two new models proposed. In this paper, the traffic flow distribution results of the new model and the traditional Logit-based random user equilibrium model are compared by numerical experiments, and the efficiency of the three algorithms is analyzed. The results show that the SRA algorithm is the most efficient algorithm in the algorithm used in this paper. (2) The selection probability and model parameters of C-Logit, path scale Logit, generalized nested Logit, paired combination Logit path selection model are set forth, and the C-Loit, path scale Logit, RP, respectively, are constructed. L-O. Path-scale modified Loit, generalized nested Logit, the multi-user multi-criterion random user equilibrium model of the paired combination Logit model, and the equivalence of the six new models and the uniqueness of the solution. The paper proves that the method of representation of the road network structure in the model and the calculation process of the route selection probability are compared and analyzed, and the path-based SR for the model proposed by the general solution is designed. A. The traffic distribution results of the new model and the multi-user multi-criteria random user equilibrium model based on Logit are compared by numerical experiments, and the distribution flow of the model parameter change is analyzed. (3) The deficiency of the existing continuous network design research is analyzed, and the sum of total impedance and total investment is the upper target function. The two models constructed in Chapter 3 of this paper and four other random user equilibrium models based on extended Logit are analyzed. In this paper, six new design models of continuous traffic network are built for the lower layer model, and a combination algorithm combining the genetic algorithm with the SRA algorithm is designed. The effectiveness of the method is analyzed, and the difference between the random user equilibrium model based on extended Logit and the network design scheme of the traditional deterministic user equilibrium model is analyzed, and the network design result is analyzed when the model parameters are changed. (4) To study the significance of multi-user multi-criteria and to use the extended Logit-based traffic distribution model to study the significance of the congestion charge by analyzing the shortcomings existing in the traditional sub-optimal congestion charging study, and to minimize the total travel time of the system In this paper, six new sub-optimal congestion charging models are constructed based on the extended Logit-based multi-user multi-criteria random user equilibrium model, and a combination algorithm combining the simulated annealing algorithm with the SRA algorithm is designed. The effectiveness of the algorithm is compared, and the difference between the multi-user multi-criterion random user equilibrium model and the multi-user multi-criterion deterministic user equilibrium model based on the extended Logit is compared, and the congestion charge is analyzed when the model parameters are changed
【學(xué)位授予單位】:北京交通大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2014
【分類號(hào)】:U491
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