信号交叉口电动自行车提前启亮时间的确定  

Determination of early green time for e-bikes at signalized intersections

作　　者：高雨虹 曲昭伟[1] 宋现敏[1] GAO Yu-hong;QU Zhao-wei;SONG Xian-min(College of Transportation,Jilin University,Changchun 130022,China)

机构地区：[1]吉林大学交通学院,长春130022

出　　处：《吉林大学学报（工学版）》2020年第4期1355-1369,共15页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(51278220)。

摘　　要：基于机非干扰机理特性,提出了电动自行车提前启亮时间的确定方法,并据此构建了混合交通流信号配时多目标优化模型。结合视频提取技术,利用地板图分析电动自行车与机动车的交互影响,提出能够反映机非干扰程度的影响强度指标;通过拟合实际数据,确定释放初期时间与影响强度、电动自行车比例的复合关系,分别得到直行和左转方向的电动自行车提前启亮模型,并综合考虑时间效益、道路使用率和环境效益,构造了考虑电动自行车提前启亮的混合交通流信号配时多目标优化模型,且利用NSGA-Ⅱ算法对其进行求解;最后,通过灵敏度分析和不同配时算法的对比分析验证了模型的有效性和实用性。结果表明:对比不同交通状态下交叉口的五类信号配时方案,本文配时方案优越性明显,其中周期时长、车均延误、停车率和通行能力的最高变动幅度分别为-11.64%、-26.33%、-15.63%和6.48%。Based on the characteristics of interference mechanism between motor vehicles and nonmotorized vehicles,the paper proposes a method for determining early green time of e-bike and constructs a multi-objective optimization model of mixed traffic flow signal timing. Combined with video extraction technology,the floor map is used to analyze the interaction between e-bikes and motor vehicles,and the effect strength index is proposed which can reflect interference degree between motor vehicles and nonmotorized vehicles. By fitting field data,the composite relationship among initial release time,effect strength and e-bike ratio is determined. Then the early green time models of e-bikes in through and left directions are obtained respectively. Taking into account the time benefit,road use rate and environmental benefit,a multi-objective optimization model for mixed traffic flow signal timing considering e-bike early green is put forward,which it is solved by NSGA-Ⅱ algorithm. The validity and practicability of proposed models are verified by sensitivity analysis and comparison analysis of different timing algorithms. The results show that,compared with five types of signal timing plans of intersection under different traffic conditions,the timing plan proposed in this paper has obvious advantages. The maximum fluctuations of cycle length,average vehicle delay,capacity and average stops per vehicle are-11.64%,-26.33%,-15.63% and 6.48%.

关 键 词：交通运输系统工程 电动自行车 信号交叉口 提前启亮 多目标优化 NSGA-Ⅱ算法 

分 类 号：U491[交通运输工程—交通运输规划与管理]