演示:使用V2C通信的车道级流量估计

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI:10.1109/VNC57357.2023.10136273

E. A. Sisbot, Y. Farid

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引用次数: 0

摘要

尽管当前的导航系统显著改善了路线规划，但它们无法捕捉到导致车道级减速的道路上的微观事件。在这项工作中，我们提出了一个车载和云系统，该系统使用多辆车的数据捕获车道级交通流量，检测云中的交通拥堵和减速，并将此信息传回车辆。

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Demo: Lane-level Traffic Estimation using V2C Communication

Although the current navigation systems significantly improved route planning, they are not able to capture the micro events on the roads that leads lane-level slowdowns. In this work we present an in-vehicle and cloud system that captures lane-level traffic flow using multiple vehicles' data, detects traffic jams and slowdowns in the cloud, and communicates this information back to the vehicles.

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2023 IEEE Vehicular Networking Conference (VNC)

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