[HTML][HTML] Collaborative autonomous driving—A survey of solution approaches and future challenges
Sooner than expected, roads will be populated with a plethora of connected and
autonomous vehicles serving diverse mobility needs. Rather than being stand-alone …
autonomous vehicles serving diverse mobility needs. Rather than being stand-alone …
Platoon transitional maneuver control system: A review
Connectivity and autonomy are considered two of the most promising technologies to
improve mobility, fuel consumption, travel time, and traffic safety in the automated …
improve mobility, fuel consumption, travel time, and traffic safety in the automated …
Deep reinforcement learning enabled decision-making for autonomous driving at intersections
Road intersection is one of the most complex and accident-prone traffic scenarios, so it's
challenging for autonomous vehicles (AVs) to make safe and efficient decisions at the …
challenging for autonomous vehicles (AVs) to make safe and efficient decisions at the …
[HTML][HTML] A cooperative lane change model for connected and autonomous vehicles on two lanes highway by considering the traffic efficiency on both lanes
K Sun, X Zhao, X Wu - Transportation research interdisciplinary …, 2021 - Elsevier
Lane change maneuver is one of the critical resources of traffic oscillation which will
jeopardize traffic efficiency and safety. Emergent connected and autonomous vehicle (CAV) …
jeopardize traffic efficiency and safety. Emergent connected and autonomous vehicle (CAV) …
Continuous decision‐making for autonomous driving at intersections using deep deterministic policy gradient
Intersections have been identified as the most complex and accident‐prone traffic scenarios
on road. Making appropriate decisions at intersections for driving safety, efficiency, and …
on road. Making appropriate decisions at intersections for driving safety, efficiency, and …
Integrated decision making and motion control for autonomous emergency avoidance based on driving primitives transition
Emergency avoidance is an aggressive maneuver with high collision risk. This paper
presents an integrated decision making and motion control framework to achieve …
presents an integrated decision making and motion control framework to achieve …
Driver's individual risk perception-based trajectory planning: A human-like method
Lane-changing is a critical issue for autonomous vehicles (AVs), especially in complex
environments. In addition, different drivers have different handling preferences. How to …
environments. In addition, different drivers have different handling preferences. How to …
A Faster Cooperative Lane Change Controller Enabled by Formulating in Spatial Domain
Lane-Change (LC) maneuvers are deemed to jeopardize traffic safety, mobility, and
sustainability. Cooperative Lane-Change (CLC) solves this problem by accelerating the LC …
sustainability. Cooperative Lane-Change (CLC) solves this problem by accelerating the LC …
Modeling automated driving in microscopic traffic simulations for traffic performance evaluations: aspects to consider and state of the practice
The gradual deployment of automated vehicles on the existing road network will lead to a
long transition period in which vehicles at different driving automation levels and capabilities …
long transition period in which vehicles at different driving automation levels and capabilities …
Automatic lane-changing trajectory planning: from self-optimum to local-optimum
Y Li, L Li, D Ni, W Wang - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Existing lane-changing (LC) algorithms in general prioritize self-interest above the benefits
of others. We argue that an autonomous vehicle should be socially responsible during lane …
of others. We argue that an autonomous vehicle should be socially responsible during lane …