基于流行病模型的车路协同预警信息交互方法

王云鹏; 易振国; 夏海英; 田大新

基于流行病模型的车路协同预警信息交互方法

1.
北京航空航天大学交通科学与工程学院, 北京 100191
2. 吉林大学交通学院, 长春 130022
3. 交通运输部公路科学研究院北京 100088

基金项目: 国家自然科学基金资助项目(50878094); 城市交通复杂系统理论与技术教育部重点实验室(北京交通大学)开放基金资助项目

详细信息

作者简介:
王云鹏(1966-),男,吉林舒兰人,教授,ypwang@buaa.edu.cn.

中图分类号: U 491.2
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出版历程
- 收稿日期: 2010-08-06
- 网络出版日期: 2011-05-30

Cooperative traffic alarming method based on epidemic model

1.
School of Transportation Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
2. College of Traffic, Jilin University, Changchun 130022, China
3. Research Institute, Highway Ministry Transport, Beijing 100088, China

摘要

摘要: 针对车辆移动速度快、行驶路径受道路约束、网络拓扑结构易改变的特点,提出了一种基于流行病模型的车路协同安全预警信息交互方法,并采用马尔可夫链对传播延迟进行了理论分析.实验采用NS2网络仿真平台,构建了2 000 m长、20 m宽的双向车道测试场景,移动节点间采用802.11协议,实验测得的延迟结果与理论分析基本一致.
- 车路协同 /
- 交通安全 /
- 流行病模型 /
- 马尔可夫链
Abstract: Based on the characteristics of high speed, the movement was constrained by roads, and the vehicle networking topology changed frequently, a cooperative traffic safety alarming method based on epidemic model was presented, and the transmitting delay was analyzed with Markov chain. The method was tested with NS2 network simulator. The simulation scenario contains a 2 000 meters long and 20 meters wide highway, which allows two-way movements of vehicles. The experimental results prove that the transmitting delay is consistent with the theory analysis.
- vehicle infrastructure integration /
- traffic safety /
- epidemic model /
- Markov chain

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