基于 5G 边缘计算的高速公路可变限速与换道协同控制

针对高速公路瓶颈路段的交通拥堵及安全问题,结合5G边缘计算技术,文章提出一种应用于高速公路瓶颈区的可变限速(variable speed limits, VSL)与换道(lane change, LC)协同控制策略。考虑到交通流随时空变化的动态特性,以5G路侧单元(road side unit, RSU)为节点,分路段获取并处理交通状态信息,同时实施可变限速控制和换道控制集成控制。首先将改进的元胞传输模型(cell transmission model, CTM)作为预测模型,以提高交通效率为目标计算限速区域最优的速度控制序列;根据改进的CTM计算换道区域内车辆的车道级最优分布,诱导车辆提前换道;最后以3车道总长为4.8 km的高速公路路段为分析场景,在卡车和小汽车混合交通流条件下进行了仿真实验分析。实验结果表明,VSL-LC协同控制策略可以有效优化交通流运行状态,大幅提高交通流的效率和安全指标。

Aiming at the traffic congestion and safety problems in the bottleneck area of a freeway, this paper proposes a collaborative control strategy of the variable speed limits(VSL) and lane change(LC) in the bottleneck area of the freeway combined with 5G edge computing technology. Considering the dynamic characteristics of traffic flow changing with time and space, this study uses 5G road side unit (RSU) as a node to obtain and process traffic status information by road sections, while implementing an integrated VSL and LC control. Firstly, the improved cell transmission model(CTM) is used as a prediction model to calculate the optimal speed control sequence in the speed limit area with the goal of improving traffic efficiency. Then, based on the improved CTM, the optimal lane-level distribution of vehicles in the lane-changing area is calculated to induce vehicles to change lanes in advance. Finally, using a three-lane freeway section with a total length of 4.8 km as the analysis scenario, simulation experiments were conducted under the mixed traffic flow conditions of trucks and cars. The results show that the VSL-LC collaborative control strategy proposed in this paper can effectively optimize