Original scientific paper
https://doi.org/10.7307/ptt.v34i2.3870
Optimisation of Signal Timing at Intersections with Waiting Areas
Feng Wang
; Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University
Kun Li
; Laboratory of Intelligent Transportation, Henan Police College
Chunfu Shao
; Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University
Jianjun Zhang
; Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University
Banglan Li
; Laboratory of Intelligent Transportation, Henan Police College
Ning Han
; Laboratory of Intelligent Transportation, Henan Police College
Abstract
Unconventional geometric designs such as continu-ous-flow intersections, U-turns, and contraflow left-turn lanes have been proposed to reduce left-turn conflicts and improve intersection efficiency. Having a waiting area at a signalised intersection is an unconventional de-sign that is used widely in China and Japan to improve traffic capacity. Many studies have shown that waiting areas improve traffic capacity greatly, but few have con-sidered how to improve the benefits of this design from the aspect of signal optimisation. Comparing the start-up process of intersections with and without waiting areas, this work explores how this geometric design influenc-es vehicle transit time, proposes two signal optimisation strategies, and establishes a unified capacity calculation model. Taking capacity maximisation as the optimisation function, a cycle optimisation model is derived for over-saturated intersections. Finally, the relationship among waiting-area storage capacity, cycle time, and traffic ca-pacity is discussed using field survey data. The results of two cases show that optimising the signal scheme helps reduce intersection delays by 10–15%.
Keywords
waiting area; optimisation; traffic capacity; signal timing
Hrčak ID:
274646
URI
Publication date:
31.3.2022.
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