摘要
为了研究交叉口行人与机动车相互干扰的严重问题,通过分析交叉口人车行为特征,建立行人前进、 换道、 冲突和机动车加速、 减速、 随机慢化规则.在人车交互运行特性及让行条件的理论基础上,将行人过街规则与机动车运行规则叠加,构建让行行人条件下交叉口人车交互运行元胞自动机模型.并采用计算机对所建模型进行仿真.结果显示:在过街行人受到交通吸引点影响时,受影响行人比例每增加50%,停车让行车辆受到的影响更大,其中速度平均下降3.5km/h.结论表明:在受交通吸引点影响的过街行人比例相同情况下,停车让行较减速让行对冲突区车辆速度变化趋势的影响更大.
In order to study the conflict between pedestrians and vehicles at intersections, analyzed characteristics of pedestrians and vehicles. Moving, lane-changing, conflicting rules for pedestrians and accelerating, decelerating, random-slowing rules for vehicles was proposed. On the theoretical foundation of alternate running characteristics and yield rules, through overlapped the previous two rules, the cellular automata model of alternate operations between pedestrians and vehicles at intersection was constructed. Adopted computer simulated the model. The result show that pedestrians are affected by traffic attractions, the proportion of affected-pedestrians increase 50 percent, stopping-cars are impacted more, average speed decrease 3.5 kilometers per hour. The authors suggest that under the same proportion of pedestrians affected by traffic attraction points, the influence of stopping yield is greater than decreasing yield on vehicle speed.
作者
杨晓芳
周磊磊
YANG Xiaofang;ZHOU Leilei(Management School,University of Shanghai for Science and Technology:Shanghai 200093,China)
出处
《物流科技》
2019年第12期78-82,共5页
Logistics Sci-Tech
基金
国家自然科学基金项目(51308409)
上海市浦江人才计划项目(15PJC075)
关键词
城市交通
让行机理
元胞自动机
交叉口
混合交通
urban transportation
yield mechanism
cellular automata
intersection
mixed traffic