快速路网常发性拥挤的宏观交通流仿真
Macroscopic Traffic Flow Simulation for Re-current Congestion of Freeway Networks
汪晴1
作者信息
- 1. 上海金融学院信息管理学院,上海201209
- 折叠
摘要
针对网络级快速路系统,以一个包含两个起点和两个终点的快速路网为考察对象,运用经典的快速路网宏观交通流模型METANET,对交通流进行建模与仿真,模拟了高峰时段交通需求条件下的快速路网常发性拥挤。通过仿真案例,细致地刻画了常发性拥挤在路网中形成、传播、消散的动态过程,描述了路网中交通状态的变化,分析了路网拥堵和运行效率降低的原因。仿真案例表明,网络交通流的状态演化是复杂的动态过程,路网中局部拥挤往往会演变成整个路网的拥堵,增加行车延误,降低路网总体运行效率;对交通流进行适当调节以缓解拥挤和提高路网时空利用效率,非常必要。
Abstract
We adopt macroscopic traffic flow simulation as a tool to make a systematic analysis of the recurrent congestion of a hypothetical urban freeway network.The freeway network traffic flow model used in simulation is the famous model—METANET.Through the simulation case study we carefully describe the forming,propagation,and dissolving of recurrent congestion during peak hours,analyze the traffic condition changes in the network,and address the cause of congestion and network operation performance degradation.Simulation case study shows that spot-level congestion(e.g.bottleneck at a merging area) will always evolve to network-level congestion and performance degradation,thus calling for control of freeway networks.
关键词
快速路网/宏观交通流仿真/常发性拥挤/网络流模型Key words
freeway networks/macroscopic traffic flow simulation/recurrent congestion/network traffic flow model引用本文复制引用
基金项目
上海高校优秀青年教师基金(sjr09012)
出版年
2012
NETL
NSTL
维普
万方数据