论文部分内容阅读
高速公路匝道控制是一种通过限制进入高速公路车辆数来有效改善高速公路拥堵的交通控制方法.通过微观交通仿真对无匝道控制、定时控制及三种广泛应用的匝道控制算法(ALINEA、FLOW、Stratified Zone)进行比较评价.仿真采用AIMSUN NG软件,以澳大利亚昆士兰州太平洋快速路的仿真模型为基础测试模型.研究结果表明,基本的匝道控制可使路网能力比无控制时提高40%.就路网和高速公路主要线路能力而言,在正常的和高的交通需求条件下,ALINEA算法优于其他算法,Stratified Zone在提高入口匝道能力方面最优.就匝道入口能力而言,ALINEA算法的匝道入口能力最低,FLOW算法比Stratified Zone算法略优.本文用基尼系数(Gini coefficient)评价不同算法的道路使用者效用.结论还表明,匝道控制可使高速公路路网和入口匝道能力达到平衡.
Freeway ramp control is a traffic control method that can effectively improve highway congestion by limiting the number of vehicles entering the expressway.Through the micro-traffic simulation, the runway control, timing control and three widely used ramp control algorithms (ALINEA, FLOW, Stratified Zone.The simulation was based on AIMSUN NG software and was based on the simulation model of the Pacific Expressway in Queensland, Australia.The results showed that the basic ramp control can improve the capacity of the road network by 40% ALINEA is superior to other algorithms under normal and high traffic demand conditions, and Stratified Zone is optimal in terms of improving on-ramp capacity.In terms of ramp entry capability, the ALINEA algorithm The minimum capacity of the ramp entrance and the FLOW algorithm are slightly better than those of the Stratified Zone algorithm.In this paper, the Gini coefficient is used to evaluate the utility of road users with different algorithms.The conclusion also shows that the ramp control can balance the expressway network and the on-ramp capacity.