Holistic view of the road transportation system based on real-time data sharing mechanism
Tao Li, Xiang Dong, Junfeng Hao, Ping Yin, Xiaoxue Xu, Maokai Lai,, Yuan Li, Ting Peng

TL;DR
This paper proposes a real-time data sharing mechanism to create a comprehensive, global view of road traffic, improving safety and efficiency by enabling timely access to vehicle intentions and infrastructure status.
Contribution
It introduces a novel space-time global view of traffic systems based on real-time data sharing, addressing limitations of traditional vehicle and infrastructure monitoring methods.
Findings
Enhanced safety in merging areas.
Improved road capacity management.
Timely access to vehicle intentions and infrastructure status.
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.
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Taxonomy
TopicsTransportation Systems and Logistics
