城市混合非机动车流的元胞自动机仿真模型  

Cellular Automata Simulation Model for Urban Mixed Non-motor Vehicle Flow

作　　者：邝先验[1] 吴赟[1] 曹韦华 吴银凤[1] 

机构地区：[1]江西理工大学电气工程与自动化学院,江西赣州341000

出　　处：《广西师范大学学报（自然科学版）》2015年第1期7-14,共8页Journal of Guangxi Normal University:Natural Science Edition

基　　金：国家自然科学基金资助项目(51268017);江西省教育厅科技项目(GJJ13427)

摘　　要：在我国中小城市中,非机动车流主要由电动自行车与电动三轮车构成,本文针对两种车辆的实际尺寸和驾驶特性的差异,在STNS(Symmetric Two-lane NaSch)模型的基础上,考虑前车速度效应,建立多车道混合非机动车元胞自动机模型。通过计算机仿真,得到在不同电动三轮车比例、慢化概率下、换道概率下的基本图。结果发现,随着电动三轮车比例的增大,出现了偏析的现象,且非机动车流通行能力降低;随着慢化概率的增加,电动三轮车的减速行为更容易引起堵塞;换道概率对非机动车混合交通流影响较小,随着道路占有率的增加,电动自行车换道成功率曲线快速下降到0,而电动三轮车换道成功率曲线则呈现先增加后减少的趋势。In china, especially in small and medium-sized cities, mixed non-motor bicycle flow mainly consists of electric bicycles and electro-tricycles. According to the difference in the actual size and driving characteristics of the two kinds of fransportation tools, a mixed non-motor vehicles cellular automata model for multiple lans is established considering the velocity effect based on STNS （Symmetric Two- lane NaSch） model. The basic diagrams are obtained under different proportion of electro-tricycle, braking probability and lane-changing probability through computer numerical simulation. The results show that the phenomenon of segregation appeares with the increase of the electric tricycle proportion, and mixed non-motor vehicle traffic capacity and the decreased average velocity. The electric tricycle reduction behavior are more likely to cause congestion with the increase of probability of slowing down. The lane-changing behavior probability has little effect on non motor vehicle mixed traffic flow. With the increase of the lane occupancy, the electric bicycle lane-changing rate curve quickly decreaces to 0, while the electro-tricycle lane-changing rate curve presented increases firstly then decreases.

关 键 词：交通工程 元胞自动机 电动三轮车 电动自行车 换道成功率 

分 类 号：O415.3[理学—理论物理]