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突发事件导向的交通流微观仿真
引用本文:季峰,钱双庆,万一.突发事件导向的交通流微观仿真[J].计算机系统应用,2014,23(12):149-153.
作者姓名:季峰  钱双庆  万一
作者单位:1. 南通大学杏林学院,南通,226000
2. 南通大学机械工程学院,南通,226000
3. 天津大学计算机学院,天津,245021
基金项目:国家青年自然科学基金(51305212);南通市应用计划(BK2012053);南通大学自然科学基金(03041165)
摘    要:为针对突发事件对交通流进行研究,基于 ABM 技术建立了车辆 Agent 的适应性决策模型,给出车辆Agent 的行驶模型,引入跟驰行为中加速度的算法,利用开源平台 Swarm,对实验案例进行分析,得出在工农路与桃园路和啬园路与园林与交叉路口的车流速度、排队长度和车辆Agent数量之间的关系,为建立有效的应急交通预案提供可靠的数据依据。

关 键 词:突发事件  交通流  基于Agent建模  微观仿真
收稿时间:4/1/2014 12:00:00 AM
修稿时间:5/4/2014 12:00:00 AM

Micro-Simulation on Traffic under Emergency Events
JI Feng,QIAN Shuang-Qin and WAN Yi.Micro-Simulation on Traffic under Emergency Events[J].Computer Systems& Applications,2014,23(12):149-153.
Authors:JI Feng  QIAN Shuang-Qin and WAN Yi
Affiliation:College of Xinglin, Nantong University, Nantong 226000, China;College of Mechanical Engineering, Nantong University, Nantong 226000, China;College of Computer Science and Technology, Tianjin University, Tianjin 245021, China
Abstract:The study on the traffic has been carried on aiming at the emergency events. The decision model of the adaptive vehicle was built based on the ABM technology. Acceleration algorithm of the following behavior was introduced with the driving model of the vehicle Agent. The vehicle queue length and the quantity relation between the vehicle Agents were obtained by analyzing the cases experimentally on the open source platform Swarm, which provided reliable data basis for establishing the effective emergency traffic preparedness.
Keywords:emergency events  traffic  modeling based on agent  micro-simulation
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