车联网环境下快速路入口匝道控制研究初探

Discussion on Expressway on-ramp Control Methods in the Presence of Internet of Vehicles

快速路的入口匝道控制问题一直是交通领域研究的热点问题之一,研究人员尝试采用不同的控制方法来缓解快速路交通拥堵,减少出行延误。车联网技术的发展为快速路系统的管理与控制提出了新的可能性,但是目前的控制方法大多针对传统环境,车联网环境下的控制研究还存在诸多局限。本文通过分析车联网环境下控制系统的特点,提出了车联网环境下入口匝道控制系统的架构,针对当前交通状态获取存在的缺陷,提出通过交通流模型的估计方法进行实时交通状态预测以增加控制系统的可靠性。

The on-ramp control of expressway is one of the hot issues in the field of transportation. The re-searchers tried to use different control methods to alleviate traffic jams and reduce travel delay. The development of the Internet of vehicles technology has brought new possibilities for the control of on-ramp and upstream and downstream vehicles of expressway, but the research on the control of on-ramp in the presence of the Internet of vehicles is not in-depth at present. This paper analyzes the actual demand of on-ramp control system of expressway in the presence of Internet of vehicles, and puts forward the framework of on-ramp control system in the presence of Internet of vehicles. In view of the shortcomings of current traffic state acquisition methods, it proposes a real-time traffic state prediction method based on traffic flow model estimation, which can increase the reliability of the control system of the Internet of vehicles.