Empirical slow-to-start behavior from NGSIM trajectory data

摘要：

The slow-to-start rule is usually adopted in cellular automaton traffic flow model. And it is deemed as the mechanism for metastable states and hysteresis effect In this paper, we explore the slow-to-start behavior by analyzing the vehicle trajectory data provided by the Next Generation Simulation program. Then the slow-to-start rule is verified in several cellular automaton traffic flow models. The results show that the acceleration rate will increases as the speed increasing. The starting up gap does not change while the acceleration rate increases as the stop tune becomes larger. The slow-to-start behavior really exist, and the slow-to-start rule in VDR model is realistic. But the slow-to-start rule in MCD model is not consistent with empirical results.

关键词： Slow-to-start rule cellular automaton traffic flow

作者: Xingang Li Bin Jia Ziyou Gao

作者单位: MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology,Beijing Jiaotong University, Beijing 100044, P.R.China

会议类型: 国际会议

会议名称: The Fourth International Joint Conference on Computational Science and Optimization(第四届计算科学与优化国际大会 CSO 2011)

会议地点: 昆明、丽江

会议语种:英文

页码: 1069-1073

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）