Understanding autonomous vehicles
Advancement in automated driving technology has created opportunities for smart urban
mobility. Automated vehicles are now a popular topic with the rise of the smart city agenda …
mobility. Automated vehicles are now a popular topic with the rise of the smart city agenda …
Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
[HTML][HTML] Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives
Automated vehicles (AVs) are widely considered to play a crucial role in future transportation
systems because of their speculated capabilities in improving road safety, saving energy …
systems because of their speculated capabilities in improving road safety, saving energy …
A novel lane change decision-making model of autonomous vehicle based on support vector machine
Autonomous driving is a crucial issue of the automobile industry, and research on lane
change is its significant part. Previous works on the autonomous vehicle lane change mainly …
change is its significant part. Previous works on the autonomous vehicle lane change mainly …
[HTML][HTML] Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic
Autonomous driving has attracted significant research interests in the past two decades as it
offers many potential benefits, including releasing drivers from exhausting driving and …
offers many potential benefits, including releasing drivers from exhausting driving and …
Harmonious lane changing via deep reinforcement learning
In this paper, we study how to learn a harmonious deep reinforcement learning (DRL) based
lane-changing strategy for autonomous vehicles without Vehicle-to-Everything (V2X) …
lane-changing strategy for autonomous vehicles without Vehicle-to-Everything (V2X) …
Driving style analysis using primitive driving patterns with Bayesian nonparametric approaches
Driving style analysis plays a pivotal role in intelligent vehicle design. This paper presents a
novel framework for driving style analysis based on primitive driving patterns. To this end, a …
novel framework for driving style analysis based on primitive driving patterns. To this end, a …
Multiobjective optimization of lane-changing strategy for intelligent vehicles in complex driving environments
This paper describes an optimal lane-changing strategy for intelligent vehicles under the
constraints of collision avoidance in complex driving environments. The key technique is …
constraints of collision avoidance in complex driving environments. The key technique is …
Autonomous vehicle cut-in algorithm for lane-merging scenarios via policy-based reinforcement learning nested within finite-state machine
Lane-merging scenarios pose highly challenging problems for autonomous vehicles due to
conflicts of interest between the human-driven and cutting-in autonomous vehicles. Such …
conflicts of interest between the human-driven and cutting-in autonomous vehicles. Such …
Ego-efficient lane changes of connected and automated vehicles with impacts on traffic flow
Y Wang, L Wang, J Guo, I Papamichail… - … research part C …, 2022 - Elsevier
Connected and automated vehicles (CAVs) enabled by wireless communication and vehicle
automation are believed to revolutionize the form and operation of road transport in the next …
automation are believed to revolutionize the form and operation of road transport in the next …