The impact of internal combustion engine-powered automobiles on climate change due to
emissions and the depletion of fossil fuels has contributed to the progress of electrified …

With the development of communication and automation technologies, the great energy-
saving potential of connected and automated vehicles (CAVs) has gradually been …

The advanced cruise control system has expanded the energy-saving potential of the hybrid
electric vehicle (HEV). Despite this, most energy-saving researches for HEV either only …

In this study, we explore the problem of adaptive vehicle trajectory control for different risk
levels. Firstly, we introduce a sliding window-based car-following scenario extraction …

Rough pavements cause ride discomfort and energy inefficiency for road vehicles. Existing
methods to address these problems are time-consuming and not adaptive to changing …

Intelligent transportation systems (ITS) utilize advanced technologies to enhance traffic
safety and efficiency, contributing significantly to modern transportation. The integration of …

This study proposes autonomous eco-driving strategies for a traffic environment with limited
information available based on three popular Reinforcement Learning (RL) algorithms for …

Connected and automated vehicle (CAV) platoons have drawn much attention in the past
decades, given their potential to reduce fuel consumption, elevate roadway capacity, and …

Bottleneck areas are prone to severe traffic congestion due to the sudden drop in capacity.
To improve traffic efficiency in the bottleneck area, this paper proposes a multi-agent deep …

Preceding vehicles typically dominate the movement of following vehicles in traffic systems,
thereby significantly influencing the efficacy of eco-driving control that concentrates on …