Open AccessResearch on Traffic Condition Discriminant Technology of Urban Intersections Under Intelligent Lighting System Based on Fuzzy Comprehensive Evaluation
Author(s) -
Shunli Hao,
Nan Zhao,
Yan Wu,
J. H. Li,
Keshou Wu,
Chenlu Jiao
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/787/1/012085
Subject(s) - queue , data collection , intersection (aeronautics) , computer science , fuzzy logic , traffic congestion , data collection system , intelligent transportation system , real time computing , transport engineering , simulation , artificial intelligence , engineering , computer network , mathematics , statistics
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.