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Modeling and simulation of advisory speed and re-routing strategies in connected vehicles systems for crash risk and travel time reduction

机译:互联车辆系统中的咨询速度和重新路由策略的建模和仿真,以减少碰撞风险并减少旅行时间

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Conventional traffic simulator systems do not support Connected Vehicles (CV). The focus of this study is to extend the functionality of a traffic simulator and developing APIs for Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication. We use the extended simulation system to examine the implementation of advisory speed recommendation and re-routing guidance for urban freeways under various load conditions to recommend the optimum treatments and reduce rear-end and lane-change crash risks where speed differences between upstream and downstream vehicles were high. We use these strategies as a tool for safety improvement on a section of Deerfoot trail, Calgary, Alberta. Results of the experiments demonstrate the overall effectiveness of the approach.
机译:传统的交通模拟器系统不支持联网车辆(CV)。这项研究的重点是扩展交通模拟器的功能,并开发用于车对车(V2V)和车对基础设施(V2I)通信的API。我们使用扩展的仿真系统来检查建议性速度建议的实施情况,以及在各种负载条件下对城市高速公路进行重新选路的建议,以推荐最佳处理方法,并减少上游和下游车辆之间速度差异较大的追尾和变道碰撞风险很高。我们将这些策略用作提高阿尔伯塔省卡尔加里Deerfoot步道一段安全性的工具。实验结果证明了该方法的整体有效性。

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