| 事故车辆影响下的城市道路交通仿真研究 |
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| 引用本文： | 姬浩,李佩,苏兵,徐阳.事故车辆影响下的城市道路交通仿真研究[J].中国安全生产科学技术,2019,15(2):25-31. |
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| 作者姓名： | 姬浩 李佩 苏兵 徐阳 |
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| 作者单位： | （西安工业大学 经济管理学院,陕西 西安 710021） |
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| 基金项目： | 基金项目: 国家自然科学基金项目 (71601152)；教育部人文社会科学规划基金项目(18YJAZH080)；教育部人文社会科学研究青年基金项目(17YJCZH071)；陕西省科技厅基金项目(2018KRM001) |
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| 摘 要： | 为研究事故车辆影响下城市道路交通的特征,构建考虑车辆抢道行为的元胞自动机交通流模型,研究给定冲突区域长度下不同进车率和不同事故持续时间对城市道路交通流的影响。研究结果表明:事故车辆会诱发交通瓶颈,对城市交通产生显著干扰并形成拥堵带,且拥堵带向事故车辆上游传递。不同事故持续时间下交通流演化存在差异,道路平均车流量、车流平均密度随着事故持续时间的增加而增加,车辆平均速度随之减小。当道路中车辆较少(pin=0. 3)且事故持续时间达到15 min时,交通处于严重拥堵状态;当道路中车辆较多(pin=0. 5)、事故持续时间达到5 min时,交通即处于严重拥堵状态。研究结果可为优化城市交通事故处理机制提供依据。
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| 关 键 词： | 事故车辆 城市道路 交通瓶颈 交通流演化 |
Research on simulation of urban road traffic under effect of accident vehicle |
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| JI Hao,LI Pei,SU Bing,XU Yang.Research on simulation of urban road traffic under effect of accident vehicle[J].Journal of Safety Science and Technology,2019,15(2):25-31. |
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| Authors: | JI Hao LI Pei SU Bing XU Yang |
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| Affiliation: | (School of Economics and Management, Xi’an Technological University, Xi’an Shaanxi 710021, China) |
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| Abstract: | In order to study the characteristics of urban road traffic under the effect of accident vehicle, a traffic flow model of cellular automata considering the behavior of vehicle cutting in was established, and the influence of different probabilities of vehicle entering into road per unit time step (pin) and different accident duration on the traffic flow of urban road under given length of conflict area was studied. The results showed that the accident vehicle would cause the traffic bottleneck and produce obvious disturbance on the urban traffic, then the congestion zone formed and spread toward upstream of the accident vehicle. The evolution of traffic flow under different accident duration were different,, the average vehicle flow rate of road and the average density of vehicle flow increased with the increase of accident duration, then the average speed decreased. When the vehicles on the road were less (pin=0.3) and the accident duration reached 15 minutes, the traffic was in the severe congestion status, while when the vehicles on the road were more (pin=0.5) and the accident duration reached 5 minutes, the traffic was then in the severe congestion status. The results can provide the basis for optimizing the handling mechanism of urban traffic accidents. |
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| Keywords: | accident vehicle urban road traffic bottleneck traffic flow evolution |
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