A server accesses vehicle data from each of a subset of a plurality of networked vehicles (CVs) on a road portion, the vehicle data including at least one of location, speed, and headstock. The server generates a long-term shared world model based on the accessed vehicle data. The server generates a data structure using the long-term shared world model by applying the traffic flow model to the long-term shared world model, the data structure representing a predicted future speed over the road portion by location and time. The server transmits a control signal to a networked autonomous vehicle (CAV) for controlling operation of the CAV based on the generated data structure.
服务器访问来自道路部分上的多个联网运载工具(CV)的子集中的各个CV的运载工具数据,运载工具数据包括位置、速度和车头间距其中至少之一。服务器基于所访问的运载工具数据来生成长期共享世界模型。服务器通过将交通流模型应用于长期共享世界模型、使用长期共享世界模型来生成数据结构,该数据结构通过位置和时间来表示道路部分上的预测未来速度。服务器向联网自主运载工具(CAV)传输用于基于所生成的数据结构来控制CAV的操作的控制信号。
Road congestion management
道路拥堵管理
2024-11-12
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
Congestion, Traffic Management and Road Pricing
British Library Conference Proceedings | 1993
|Road traffic congestion management using VANET
IEEE | 2016
|Congestion, Traffic Management and Road Pricing
British Library Conference Proceedings | 1993
|Congestion management and electronic road pricing in Singapore
Online Contents | 2002
|