A systematic survey of control techniques and applications in connected and automated vehicles
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
A journey towards fully autonomous driving-fueled by a smart communication system
Autonomous driving solutions stretch over different disciplines and technologies eg,
sensors, communication, computation, machine learning, data analytic, etc., that need to be …
sensors, communication, computation, machine learning, data analytic, etc., that need to be …
[HTML][HTML] How do autonomous vehicles decide?
The advancement in sensor technologies, mobile network technologies, and artificial
intelligence has pushed the boundaries of different verticals, eg, eHealth and autonomous …
intelligence has pushed the boundaries of different verticals, eg, eHealth and autonomous …
Towards socially responsive autonomous vehicles: A reinforcement learning framework with driving priors and coordination awareness
The advent of autonomous vehicles (AVs) alongside human-driven vehicles (HVs) has
ushered in an era of mixed traffic flow, presenting a significant challenge: the intricate …
ushered in an era of mixed traffic flow, presenting a significant challenge: the intricate …
Self-learned autonomous driving at unsignalized intersections: A hierarchical reinforced learning approach for feasible decision-making
Reinforcement learning-based techniques, empowered by deep-structured neural nets,
have demonstrated superiority over rule-based methods in terms of making high-level …
have demonstrated superiority over rule-based methods in terms of making high-level …
Real-time optimization of fuel-consumption and travel-time of CAVs for cooperative intersection crossing
A Hadjigeorgiou, S Timotheou - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Connected and Autonomous Vehicles (CAVs) have the potential to revolutionize road
transportation in terms of safety and efficiency, offering important societal, economic, and …
transportation in terms of safety and efficiency, offering important societal, economic, and …
Enhancing Social Decision-Making of Autonomous Vehicles: A Mixed-Strategy Game Approach With Interaction Orientation Identification
The integration of Autonomous Vehicles (AVs) into existing human-driven traffic systems
poses considerable challenges, especially within environments where human and machine …
poses considerable challenges, especially within environments where human and machine …
Game theoretic application to intersection management: A literature review
The emergence of vehicle-to-everything (V2X) technology offers new insights into
intersection management. This, however, has also presented new challenges, such as the …
intersection management. This, however, has also presented new challenges, such as the …
[HTML][HTML] Should autonomous vehicles collaborate in a complex urban environment or not?
A specialized version of collaborative driving is convoy driving. It is referred to as the
practice of driving more than one vehicle consecutively in the same lane with a small inter …
practice of driving more than one vehicle consecutively in the same lane with a small inter …
Modelling two-dimensional driving behaviours at unsignalised intersection using multi-agent imitation learning
Traffic at unsignalised intersection usually involves complex interactions. It is critical to
explicitly model the two-dimensional driving behaviours and capture the interactions among …
explicitly model the two-dimensional driving behaviours and capture the interactions among …