为了跟踪近年来智能网联汽车(CAV) 协同生态驾驶策略的研究进展, 分析了车辆, 驾驶行为,
交通网络和社会这4 类因素对CAV 能耗的影响程度, 以车辆, 基础设施和旅行者为对象对目前 …

To track the research progress of connected and automated vehicles (CAV) based
cooperative eco-driving strategies in recent years, the influences of four factors, including …

The emergence of connected and automated vehicle (CAV) technology has the potential to
bring a number of benefits to our existing transportation systems. Specifically, when CAVs …

This study presents a fuel-economical driving strategy for connected and automated
vehicles (CAVs) and investigates its impacts on human-driven platoon's fuel efficiency …

为了提高网联信号交叉口车路协同控制对真实交通环境的适应性, 以智能网联汽车与网联人工
驾驶汽车混行的典型交通应用场景为研究对象, 通过构建八相位网联信号交叉口 …

Quantifying the effect of Cooperative Adaptive Cruise Control (CACC) on traffic mobility and
vehicle fuel consumption has been a challenge because it requires a modeling framework …

In this paper, a comprehensive deterministic Eco-Driving strategy for Connected and
Autonomous Vehicles (CAVs) is presented. In this setup, multiple driving modes calculate …

To fully harvest the benefits of vehicular automation and connectivity in the mixed traffic, a
cooperative longitudinal control strategy named Cooperative Adaptive Cruise Control with …

In urban areas, traffic signals cause unnecessary stops and delays to vehicles resulting in
excessive energy consumptions and emissions. The eco-approach technology has been …

Vehicles in the platoon can sufficiently incorporate the information via V2X communication to
plan ecological speed trajectories and pass the intersection smoothly. Most existing eco …