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Connected variable speed limits control and car-following control with vehicle-infrastructure communication to resolve stop-and-go waves

机译:连接的变速限制控制和跟车控制以及车辆基础设施通信,以解决走走停停的浪潮

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摘要

The vision of intelligent vehicles traveling in road networks has prompted numerous concepts to control future traffic flow, one of which is the in-vehicle actuation of traffic control commands. The key of this concept is using intelligent vehicles as actuators for traffic control systems. Under this concept, we design and test a control system that connects a traffic controller with in-vehicle controllers via vehicle-to-infrastructure communication. The link-level traffic controller regulates traffic speeds through variable speed limits (VSL) gantries to resolve stop-and-go waves, while intelligent vehicles control accelerations through vehicle propulsion and brake systems to optimize their local situations. It is assumed that each intelligent vehicle receives VSL commands from the traffic controller and uses them as variable parameters for the local vehicle controller. Feasibility and effectiveness of the connected control paradigm are tested with simulation on a two-lane freeway stretch with intelligent vehicles randomly distributed among human-driven vehicles. Simulation shows that the connected VSL and vehicle control system improves traffic efficiency and sustainability; that is, total time spent in the network and average fuel consumption rate are reduced compared to (uncontrolled and controlled) scenarios with 100% human drivers and to uncontrolled scenarios with the same intelligent vehicle penetration rates.
机译:智能汽车在道路网络中行驶的愿景促使人们提出了许多概念来控制未来的交通流量,其中之一就是对交通控制命令的车载操纵。这个概念的关键是将智能车辆用作交通控制系统的执行器。在此概念下,我们设计并测试了一种控制系统,该控制系统通过车辆到基础设施的通信将交通控制器与车载控制器连接起来。链接级交通控制器通过可变速度限制(VSL)门架来调节交通速度,以解决走走停停的浪潮,而智能车辆则通过车辆推进和制动系统控制加速,以优化其当地情况。假定每辆智能车辆都从交通控制器接收VSL命令,并将其用作本地车辆控制器的可变参数。通过在两车道高速公路上进行仿真,测试了连接控制范式的可行性和有效性,智能车随机分布在人为驾驶的车辆中。仿真表明,相连的VSL和车辆控制系统提高了交通效率和可持续性。也就是说,与具有100%人工驾驶的情况(不受控制和受控)的情况以及具有相同智能车辆渗透率的不受控制的情况相比,减少了在网络上花费的总时间和平均燃料消耗率。

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