Research on Traffic Condition Discriminant Technology of Urban Intersections Under Intelligent Lighting System Based on Fuzzy Comprehensive Evaluation

Content Provider	Scilit
Author	Hao, S. Y. Zhao, N. L. Wu, Y. Z. Li, J. H. Wu, K. M. Jiao, C. W.
Copyright Year	2021
Description	Journal: Iop Conference Series: Earth and Environmental Science Firstly, the basic traffic data collection methods based on intelligent lighting system are introduced, including RTMS data collection and video data collection. Then, based on the fuzzy comprehensive evaluation, a traffic condition discrimination model of urban intersections under the intelligent lighting system is established. The average speed, stop delay and queue length detected by the intelligent lamp post collection equipment are selected as evaluation factors, and the traffic status of signalized intersections is defined as smooth traffic, normal congestion and severe congestion. The research results have realized the fine discrimination of urban intersection traffic operating condition under the intelligent lighting system.
Related Links	https://iopscience.iop.org/article/10.1088/1755-1315/787/1/012085/pdf
ISSN	17551307
e-ISSN	17551315
DOI	10.1088/1755-1315/787/1/012085
Journal	Iop Conference Series: Earth and Environmental Science
Issue Number	1
Volume Number	787
Language	English
Publisher	IOP Publishing
Publisher Date	2021-06-01
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Earth and Environmental Science Transportation Science and Technology Urban Intersections Intelligent Lighting System
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Physics and Astronomy Environmental Science