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Connected and Autonomous Vehicles cooperate with the pedestrian in industrial sites based on trajectory optimization and vehicle signalization system

机译:连接和自治车辆基于轨迹优化和车辆信号传导系统与工业站点的行人合作

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Connected and autonomous vehicles (CAV) is the development trend in the field of transportation systems. Recent studies show that the resources sharing between pedestrians and CAV is a big challenge. Considering traffic safety and efficiency at that sharing point not only requires a collision avoidance system but also more communicative behaviors of the CAV. More precisely, pedestrian needs to understand the intention of the incoming CAV whether it will cross first or not according to its speed profile. This paper uses the optimal trajectory control to provide CAV with a communicative behavior. A scenario where CAV and pedestrian cooperate together to cross a conflict zone is studied. A communicative CAV behavior is designed through an objective function. Hamiltonian analysis is used to derive the optimal control for the CAV. Based on Oculus virtual reality platform, the proposed approach is tested and the behavior of cars and pedestrians are studied. The tests show that this approach provides CAVs with a kind of automatic courtesy.
机译:连接和自主车辆(CAV)是运输系统领域的发展趋势。最近的研究表明,行人和CAV之间的资源分享是一个很大的挑战。考虑到该共享点的交通安全和效率不仅需要碰撞避免系统,而且需要更多的CAV的交际行为。更确切地说,行人需要了解进入的CAV的意图,无论是根据其速度剖面首先还是交叉。本文采用最佳轨迹控制来提供具有交际行为的CAV。研究了Cav和行人在一起越过冲突区域的情况。通过目标函数设计交流腔行为。 Hamiltonian分析用于导出CAV的最佳控制。基于Oculus虚拟现实平台,测试了拟议的方法,研究了汽车和行人的行为。该测试表明,这种方法提供了一种具有自动礼貌的骑士。

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