[1] Li Pengfei, Guo Xiucheng, Li Yan,. An ATMS data-driven method for signalized arterial coordination [J]. Journal of Southeast University (English Edition), 2012, 28 (2): 229-235. [doi:10.3969/j.issn.1003-7985.2012.02.017]
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An ATMS data-driven method for signalized arterial coordination(
)
基于高级交通管理系统数据的城市干道协调控制方法
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 28
- Issue:
- 2012 2
- Page:
- 229-235
- Research Field:
- Traffic and Transportation Engineering
- Publishing date:
- 2012-06-30
Info
- Title:
- An ATMS data-driven method for signalized arterial coordination
- 基于高级交通管理系统数据的城市干道协调控制方法
- Author(s):
- Li Pengfei1; Guo Xiucheng1; Li Yan2
-
1 School of Transportation, Southeast University, Nanjing 210096, China
2 Highway School, Chang’an University, Xi’an 710064, China
- Keywords:
- traffic signal control; random theory; traffic simulation; advanced traffic management system(ATMS); intelligent transportation system
- PACS:
- U491.51
- DOI:
- 10.3969/j.issn.1003-7985.2012.02.017
- Abstract:
- In order to minimize the delays and stops caused by the early started coordinated green phase of the vehicle-actuated signal systems, a stochastic offsets calculation method based on the new types of advanced traffic management system(ATMS)data is proposed. As the mainline green starts randomly in vehicle-actuated signal systems, the random theory is applied to obtain the distribution of the unused green time at side streets based on the green gap-out mechanism. Then, the green start time of the mainline can be selected at the point with maximum probability to minimize the delays or stops caused by the randomly started mainline green. A case study in Maine, USA, whose traffic conditions are similar to those of the middle-size Chinese cities, proves that the proposed method can significantly reduce the travel time and delays.
- 为使感应式交通信号控制系统中由于协调控制方案调整造成的额外延误和停车次数最小, 基于先进交通管理系统数据设计了基于随机理论的相位差计算方法.在感应式信号控制系统中, 干线的绿灯启动时间是随机的.基于支线绿灯时间中断机理, 应用随机理论分析支线未使用绿灯时间的分布.最佳干线绿灯启动时间可选取在绿灯时间返还概率最大处, 以保证因干线绿灯启动时间变化而引起的停车和延误最小.所提方法通过在交通状况接近于中国中小城市的美国缅因州的一个实例研究得到了进一步的论证, 证实了新计算方法能够显著减低干线车辆行驶时间和延误.
References:
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Memo
- Memo:
-
Biographies: Li Pengfei(1977—), male, doctor; Guo Xiucheng(corresponding author), male, doctor, professor, seuguo@163.com.
Foundation items: The National Natural Science Foundation of China(No.50422283), China Postdoctoral Science Foundation(No.20110491333).
Citation: Li Pengfei, Guo Xiucheng, Li Yan.An ATMS data-driven method for signalized arterial coordination[J].Journal of Southeast University(English Edition), 2012, 28(2):229-235.[doi:10.3969/j.issn.1003-7985.2012.02.017]