同济大学学报（自然科学版）2026，Vol.54Issue(2)：264-275,12.DOI:10.11908/j.issn.0253-374x.24350
基于虚拟动态检测的自适应信号控制方法
Adaptive Signal Control Method Based on Virtual Dynamic Detection
摘要
Abstract
Given the limitations of traditional fixed detection methods in capturing continuous and dynamic vehicle information,we propose an adaptive signal control method(ACV2D method)based on virtual dynamic detection for intersections in a partially connected traffic environment to address the issue of low signal control accuracy.Through the ACV2D method,the position-variable virtual detection section and interval are built to replace conventional traffic flow detectors.After a signal phase gains the right of way,the initial green time is calculated based on the position of the farthest connected vehicle(CV)in the queue.Simultaneously,the measured CV data are used to predict traffic flow conditions within the virtual detection section and interval,as well as the duration of phase green time.During this process,the consistency between the predicted and actual traffic flow conditions within the virtual detection area is monitored.When the prediction results deviate,a real-time correction model for signal control parameters is constructed with the objective of minimizing the average vehicle delay.Taking the predicted vehicle arrival time as the decision point,the dynamic programming method is adopted to solve the optimal signal phase timing in a forward sequence of signal phases.Simulation results demonstrate that when the CV penetration rate exceeds 50%,ACV2D method significantly outperforms reinforcement learning-based adaptive signal control methods,such as 3DQN and 3DRQN,under medium to high traffic volumes.Further research indicates that the effectiveness of the ACV2D method is jointly influenced by two factors,i.e.,CV penetration rate and the sum of key lane group flow ratios Y.The larger the Y value,the lower the required CV penetration rate to ensure the effectiveness of the ACV2D method;conversely,the smaller the Y value,the higher the required CV penetration rate.关键词
交通工程/智能交通/自适应信号控制/动态规划法/虚拟检测/非完全网联交通环境Key words
traffic engineering/intelligent transportation/adaptive signal control/dynamic programming method/virtual detection/partially connected traffic environment分类
交通工程引用本文复制引用
蒋贤才,邢令..基于虚拟动态检测的自适应信号控制方法[J].同济大学学报（自然科学版）,2026,54(2):264-275,12.基金项目
黑龙江省自然科学基金(PL2024E012) （PL2024E012）
