Freeway is an important component of transportation system. Bottleneck areas on freeway reduce driving safety and traffic efficiency. The development of intelligent connected technology provides a new idea for traffic management. In order to alleviate traffic congestion on the freeway bottleneck area, this paper proposes a variable speed limit (VSL) control method in intelligent connected environment. In this paper, the METANET model is improved by combining intelligent connected environment and VSL control theory. The total traffic capacity (TTC), total travel time (TTT), and total speed difference (TSD) are used to build multiobjective function. The microsimulation at SUMO by using the data from PeMS is employed as a case study to validate the proposed model. The results show that the VSL online control method in intelligent connected environment has better control effect. And the improvement is more obvious with increasing penetration rate of intelligent connected vehicle (ICV).

中文翻译：

---

智能网联环境下高速公路干线可变限速控制方法

高速公路是交通系统的重要组成部分。高速公路上的瓶颈区域会降低行车安全和交通效率。智能网联技术的发展为交通管理提供了新的思路。为了缓解高速公路瓶颈区的交通拥堵，本文提出了一种智能网联环境下的可变限速（VSL）控制方法。本文结合智能网联环境和VSL控制理论对METANET模型进行了改进。总通行能力（TTC）、总行程时间（TTT）和总速度差（TSD）用于构建多目标函数。SUMO 使用 PeMS 的数据进行微观模拟作为案例研究来验证所提出的模型。结果表明，智能网联环境下的VSL在线控制方法具有较好的控制效果。并且随着智能网联汽车（ICV）普及率的提高，改善更加明显。