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Short-Term Traffic Flow Scenario Prediction for ATMIS Strategies Evaluation

教师个人信息

姓名
李德纮 浙江大学教师主页
学院
ZJUI
研究方向
未来交通与人工智能系统, 低空经济与无人化运输网络, 多式联运与智慧供应链优化, 数字孪生与复杂系统智能决策, 可持续出行与城市交通治理
成果类型
图书章节
Applications of Advanced Technologies in Transportation Engineering: Proceedings of the Eight International Conference

出版物信息

章节名称
Short-Term Traffic Flow Scenario Prediction for ATMIS Strategies Evaluation
章节作者
Der-Horng Lee, Weizhong Zheng and Qixin Shi
章节序号
2
章节页码
7–12
著作名称
Applications of Advanced Technologies in Transportation Engineering: Proceedings of the Eight International Conference
图书作者
Kumares C. Sinha, T. F. Fwa, Ruey L. Cheu, Der-Horng Lee
出版社
Amer Society of Civil Engineers
P-ISBN
9780784407301
摘要

Advanced Traffic Management and Information Systems (ATMIS) are widely used ITS applications nowadays for freeway and urban traffic operation and management. Developed relating on real-time traffic condition, though, they are not guaranteed to be effective in future operation periods and need to be put into short-term traffic flow scenarios for particular investigation. A process named non-OD driven simulation based on a microscopic simulator, PARAMICS, is proposed in this paper as the key technology to construct such traffic scenarios. Speed control, an incident management strategy, is put into the simulation under the predicted traffic scenario for evaluation. The evaluation results are compared to those under static the traffic flow scenario.

DOI
https://doi.org/10.1061/40730(144)2

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