  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.
