城市交通拥堵组合治理政策仿真研究  

Simulation Study on the Combined Management Policies for Urban Traffic Congestion

作　　者：丁涛[1] 姜爱明 颜韬 DING Tao;JIANG Aiming;YAN Tao(School of Transportation and Logistics Engineering,Wuhan University of Technology,Wuhan 430063,China;不详)

机构地区：[1]武汉理工大学交通与物流工程学院,湖北武汉430063 [2]武汉市交通运输局智能交通中心,湖北武汉430015

出　　处：《武汉理工大学学报（信息与管理工程版）》2024年第3期402-409,共8页Journal of Wuhan University of Technology：Information & Management Engineering

基　　金：国家重点研发计划(2016YFC0402008)。

摘　　要：为探究不同交通拥堵治理政策的作用与效果,从交通发展战略、交通需求管理、交通费用调节3个方面设计了16种政策模拟情形,通过Vensim PLE软件进行仿真模拟。结果表明,交通需求管理是治理交通拥堵最有效的方式,其次是交通发展战略和交通费用调节,该实验结果为城市交通优化提供了有益参考。未来治理城市交通拥堵时,应注重调节交通需求和供给之间的矛盾,综合运用土地规划、交通管理等手段,科学控制交通需求总量、出行方式和时空分布,以实现供需在不同阶段和层次上的相对平衡,从而确保城市交通系统的可持续发展。To explore the roles and effects of different traffic congestion control policies,16 policy simulation scenarios were designed from three aspects:transportation development strategy,transportation demand management,and transportation cost adjustment,and simulated using Vensim PLE software.The results indicate that traffic demand management is the most effective way to address traffic congestion,followed by transportation development strategies and transportation cost adjustments.The experimental results provide important reference value for urban traffic optimization.In the future governance of urban traffic congestion,attention should be paid to adjusting the contradiction between traffic demand and supply,comprehensively utilizing land use planning,traffic management and other means to scientifically control the total amount of traffic demand,travel modes,and spatiotemporal distribution,in order to achieve relative balance between supply and demand at different stages and levels,and ensure the sustainable development of the urban transportation system.

关 键 词：交通拥堵 系统动力学 组合政策 交通发展战略 交通需求管理 交通费用调节 

分 类 号：U121[交通运输工程]