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.

翻译：传统人工驾驶及单车智能驾驶在实时准确获取周边车辆当前行驶状态与意图方面存在局限，导致车辆通常仅能保持适当安全距离，但事故仍频发，尤其在合流区域；同时难以全面获取道路基础设施状况。这些局限不仅制约道路通行能力的进一步提升，更造成不可挽回的生命财产损失。为突破此瓶颈，本文基于实时共享机制构建了道路交通系统的时空全局视图，使道路使用者与管理方能及时获取邻近车辆的行驶意图及道路基础设施实时状态。