This paper proposes a bi-objective continuous transportation network design problem with considering of speed limit. The efficiency of traffic network and reduce the network environment pollution are improved by reasonable road capacity enhancing and speed limit strategy. A bi-objective bi-level programming model is developed to formulate the proposed network design problem. The upper level problem aims to minimize both the summation of the total system travel time and the total investment, and the cost of total vehicle emissions from the viewpoint of traffic managers, and obtains the optimal road capacity enhancing scheme and the optimal speed limiting scheme for different time periods. Based on user equilibrium(UE) theory, the lower level problem represents travelers' route choice behavior during different time periods. A genetic algorithm based on non-dominated sorting method is designed to solve the bi-level programming model. Finally, numerical examples are developed to demonstrate the effectiveness of the model and algorithm proposed in this paper.%本文提出了一个考虑车速限制的双目标连续交通网络设计问题,旨在通过合理的路段拓展与限速策略提高网络交通运行效率和减少交通系统的环境污染.构建了一个双目标双层规划模型来描述提出的交通网络设计问题.其中,上层问题从交通管理者的角度出发,以系统总阻抗与总投资额之和最小及网络总的车辆尾气排放最小为目标,制定最优的网络设计方案和不同时段最优的限速方案;下层问题基于用户平衡准则,描述不同时段出行者的路径选择行为.设计了基于非支配排序的遗传算法对提出的双层规划模型进行求解,并采用数值算例验证了提出的模型与算法的有效性.
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