摘要
有轨电车易受到道路环境的影响,而交叉道口作为城市道路通行能力的瓶颈,制约着整个路网的通行效率.建立最优化问题模型,分析改进粒子群算法,利用基于灾变自适应的粒子群算法对有轨电车介入的交叉道口信号配时进行分析.以上海市松江区有轨电车实际单点交叉道口为研究对象,通过模拟仿真,获得该交叉道口的最优信号相位分配方案,该方案能够降低有轨电车对道路拥堵的影响值.
Streetcars are easily affected by road environment.The intersection,as the bottleneck of road capacity,restricts the traffic efficiency of the whole road network.An optimization problem model was established,the improved particle swarm algorithm was analyzed,and the particle swarm algorithm based on catastrophic adaptation was used to analyze signal timing of streetcar intersection.Taking the actual single point intersection of streetcar in Shanghai Songjiang as research object,the optimal signal phase distribution plan of the intersection was obtained through simulation,which can reduce the impact of streetcars on road congestion.
作者
陈沁仪
钱鲁斌
高彤菲
户国
宫雨欣
张军毅
CHEN Qinyi;QIAN Lubin;GAO Tongfei;HU Guo;GONG Yuxin;ZHANG Junyi(School of Urban Rail Transportation,Shanghai University of Engineering Science,Shanghai 201620,China;Casco Signal Co.,Ltd.,Shanghai 200070,China)
出处
《上海工程技术大学学报》
CAS
2022年第2期182-188,共7页
Journal of Shanghai University of Engineering Science
关键词
有轨电车
交叉道口
信号配时
粒子群算法
streetcar
intersection
signal timing
particle swarm algorithm
