潮汐车道与变向车道协同优化的绿波控制方法  

Green Wave Control Method of Collaborative Optimization of Tidal Lane and Variable Lane

作　　者：曲大义[1] 曹俊业[1] 王进展[1] 李娟[1] 许翔华 QU Dayi CAO Junye WANG Jinzhan LI Juan XU Xianghua(School of Automobile and Traffic, Qingdao Technological University, Qingdao 266520, Chin)

机构地区：[1]青岛理工大学汽车与交通学院,山东青岛266520

出　　处：《济南大学学报（自然科学版）》2017年第3期208-214,共7页Journal of University of Jinan(Science and Technology)

基　　金：国家自然科学基金项目(51178231);智能交通技术交通行业重点实验室开放基金课题(2013-ITSC-JK003)

摘　　要：针对城市交通中日益凸显的潮汐现象,研究合理的潮汐车道配置和优化策略;为了充分利用交叉口时空资源,解决直行方向交通流的不均衡现象及大量左转车辆排队等待的问题,定量分析干线交通流分布不均衡系数及转向不均衡系数,定义协同系数,协同设置潮汐车道与变向车道,并依据干线交通流特性提出半周期绿波协同优化策略,减少因交叉口流量小造成的信号时间的浪费。优化结果表明,潮汐车道与变向车道协同绿波控制的方案有效地缓解了交通拥堵,缩短了停车延误,并且行驶车速平均提高10%。For the increasingly prominent tidal traffic phenomenon in cityies, reasonable tidal lane configuration and optimization strategies were researched. To fully utilize the time-space resources and resolve the problems of straight direction of traffic flow imbalance and a lot of left-turn vehicles waiting in line, the trunk traffic flow imbalanced distribution coefficient and steering imbalance coefficient and delimit synergy coefficient were quantitatively analyzed. The collaboratine efficient, collaborative setting tidal lane, and variable lane were defined. Half-cycle collaborative optimization green wave control strategies were proposed based on traffic flow characteristics to reduce the signals waste due to the small intersection traffic. The results show that the collaborative optimization green wave control of tidal lane and variable lane is effective to mitigate traffic congestion, reduce parking delays and improve velocity by 10%.

关 键 词：交通工程 半周期控制 协同优化 变向车道 潮汐交通 

分 类 号：U273.99[机械工程—车辆工程]