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Holistic view of the road transportation system based on real-time data sharing mechanism

Authors :
Tao, Li
Xiang, Dong
Junfeng, Hao
Ping, Yin
Xiaoxue, Xu
Maokai, Lai
Yuan, Li
Ting, Peng
Publication Year :
2024

Abstract

Traditional manual driving and single-vehicle-based intelligent driving have limitations in real-time and accurate acquisition of the current driving status and intentions of surrounding vehicles, leading to vehicles typically maintaining appropriate safe distances from each other. Yet, accidents still frequently occur, especially in merging areas; meanwhile, it is difficult to comprehensively obtain the conditions of road infrastructure. These limitations not only restrict the further improvement of road capacity but also result in irreparable losses of life and property. To overcome this bottleneck, this paper constructs a space-time global view of the road traffic system based on a real-time sharing mechanism, enabling both road users and managers to timely access the driving intentions of nearby vehicles and the real-time status of road infrastructure.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2407.03187
Document Type :
Working Paper