[HTML][HTML] About calibration of car-following dynamics of automated and human-driven vehicles: Methodology, guidelines and codes
A comprehensive literature review reveals that there exist lots of ambiguities, confusion and
even contradictions in setting a car-following calibration problem. In particular, confusion …
even contradictions in setting a car-following calibration problem. In particular, confusion …
A comprehensive study of speed prediction in transportation system: From vehicle to traffic
In the intelligent transportation system (ITS), speed prediction plays a significant role in
supporting vehicle routing and traffic guidance. Recently, a considerable amount of research …
supporting vehicle routing and traffic guidance. Recently, a considerable amount of research …
Real-time predictive energy management of plug-in hybrid electric vehicles for coordination of fuel economy and battery degradation
This paper proposes a real-time predictive energy management strategy (PEMS) of plug-in
hybrid electric vehicles for coordination control of fuel economy and battery lifetime …
hybrid electric vehicles for coordination control of fuel economy and battery lifetime …
Hybrid reinforcement learning-based eco-driving strategy for connected and automated vehicles at signalized intersections
Taking advantage of both vehicle-to-everything (V2X) communication and automated driving
technology, connected and automated vehicles are quickly becoming one of the …
technology, connected and automated vehicles are quickly becoming one of the …
Predictive energy-efficient driving strategy design of connected electric vehicle among multiple signalized intersections
Signalized intersections dominate traffic flow in urban areas, resulting in increased energy
consumption and travel delay for the vehicles involved. To mitigate the negative effect of …
consumption and travel delay for the vehicles involved. To mitigate the negative effect of …
Integrated velocity optimization and energy management for FCHEV: An eco-driving approach based on deep reinforcement learning
Ecological driving (eco-driving) is a promising technology for transportation sector to save
energy and reduce emission, which works by improving vehicle behaviors in traffic …
energy and reduce emission, which works by improving vehicle behaviors in traffic …
Enhanced eco-approach control of connected electric vehicles at signalized intersection with queue discharge prediction
Long queues of vehicles are often found at signalized intersections, which increases the
energy consumption of all the vehicles involved. This paper proposes an enhanced eco …
energy consumption of all the vehicles involved. This paper proposes an enhanced eco …
[HTML][HTML] 智能网联汽车协同生态驾驶策略综述
杨澜， 赵祥模， 吴国垣， 徐志刚， 惠飞， 郝鹏… - 交通运输工程 …, 2020 - transport.chd.edu.cn
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 …
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 …
Eco-driving system for connected automated vehicles: Multi-objective trajectory optimization
This study aims to leverage the advances of connected automated vehicle (CAV) technology
to design an eco-driving and platooning system that can improve both fuel and operational …
to design an eco-driving and platooning system that can improve both fuel and operational …
Adaptive speed planning of connected and automated vehicles using multi-light trained deep reinforcement learning
Through shared real-time traffic information and perception of complex environments,
connected and automated vehicles (CAVs) are endowed with global decision-making …
connected and automated vehicles (CAVs) are endowed with global decision-making …