@inproceedings{78bf822dee114331b7b378431ec73f74,
title = "Traffic state identification based on phase transition",
abstract = "A new method for state identification is proposed based on traffic phase transition. An interval is used as a threshold instead of a single value in order to improve the discrimination precision. Traffic parameters are divided into two categories: traffic parameters at a point and traffic parameters over a section. A traffic index is extracted by using principal component analysis under location traffic parameters. Based on the data of the Oakland Bay Bridge and Chongqing Yellow Garden Bridge, the statistical distribution law of traffic index is studied, finding the phase change process between traffic states. The detection of traffic states is realized by detecting the transition period and the corresponding rules are proposed. By using the new method and cluster analysis, the traffic states of Yellow Garden Bridge for one day are identified. By comparing the results, the method proposed in this paper is more consistent with the actual situation.",
author = "Shumin Feng and Mengwei Xin and Xishuang Han and Yali Sun",
note = "Publisher Copyright: {\textcopyright} ASCE.; 19th COTA International Conference of Transportation Professionals: Transportation in China - Connecting the World, CICTP 2019 ; Conference date: 06-07-2019 Through 08-07-2019",
year = "2019",
doi = "10.1061/9780784482292.255",
language = "英语",
series = "CICTP 2019: Transportation in China - Connecting the World - Proceedings of the 19th COTA International Conference of Transportation Professionals",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "2946--2958",
editor = "Lei Zhang and Jianming Ma and Pan Liu and Guangjun Zhang",
booktitle = "CICTP 2019",
address = "美国",
}