A dynamic traffic assignment model for a continuum transportation system

A predictive continuum dynamic user-optimal (PDUO-C) model is formulated in this study to investigate the dynamic characteristics of traffic flow and the corresponding route-choice behavior of travelers within a region with a dense urban road network. The modeled region is arbitrary in shape with a single central business district (CBD) and travelers continuously distributed over the region. Within this region, the road network is represented as a continuum and travelers patronize a two-dimensional continuum transportation system to travel to the CBD. The PDUO-C model is solved by a promising solution algorithm that includes elements of the finite volume method (FVM), the finite element method (FEM), and the explicit total variation diminishing Runge-Kutta (TVD-RK) time-stepping method. A numerical example is given to demonstrate the utility of the proposed model and the effectiveness of the solution algorithm in solving this PDUO-C problem.     

环境因素下交叉口信号控制的双层多目标优化模型研究

机动车尾气排放不仅危害人们身体健康,同时也破坏了生态环境.考虑机动车尾气排放的基于用户均衡路径选择模型的双层多目标优化模型被提出用来优化交叉口信号控制周期和绿信比,其优化目标是改善交通流状况的同时合理降低交叉口机动车尾气排放.并给出了该模型的启发式遗传算法和基于MATLAB遗传工具箱的求解方法.通过一个实例来解释和验证了该模型以及求解算法的可行性.