An Atypical Induction Control with User-Defined Rules
Taotao Zhang, Hailong Ding, Ju-yuan Wu · Atlantis Highlights in Intelligent Systems/Atlantis highlights in intelligent systems · 2022
Under traditional induction control methods, phase sequence combination can't be adjusted dynamically by traffic flow characteristics.To solve this problem, this paper put forward an atypical induction control with user-defined rules, which is supported by real-time traffic data such as vehicle presence, queue length, and the number of vehicles in the interval.Under this control, users can define the identification and triggering rules of the traffic state and design the combination rules of the conventional and extended stage chain according to the characteristics of the actual scene.Based on the analysis of the local highresolution log data of the signal controller at the intersection of Jiaotong Avenue and Tianxian Road in Xiaogan City, it is concluded that the maximum queuing length of the average intersection cycle decreases from 160 m to 95 m after the implementation of the scheme, a decrease up to 40.6%.The results show that the atypical induction control with user-defined rules has good flexibility, controllability, and expansibility and is extremely suitable for traffic scenes with dynamic traffic characteristics.