Abstract Monte Carlo Tree Search (MCTS) is a powerful approach to designing game-
playing bots or solving sequential decision problems. The method relies on intelligent tree …

Recently, the advancement in communications, intelligent transportation systems, and
computational systems has opened up new opportunities for intelligent traffic safety, comfort …

Autonomous vehicles are sharing the road with human drivers. In order to facilitate
interactive driving and cooperative behavior in dense traffic, a thorough understanding and …

To improve the performance and efficiency of the energy management strategy used in
electric vehicles equipped with a dual-motor coupled powertrain platform, this study …

Aiming for better mobility and more efficient utilization of transportation networks, emergent
connected and autonomous vehicle (CAV) technologies, and the resulting communication …

Planning under social interactions with other agents is an essential problem for autonomous
driving. As the actions of the autonomous vehicle in the interactions affect and are also …

The personal mobility of the future will be changed significantly by autonomous driving. To
realize this vision, the complex task of trajectory planning needs to be solved. In this article …

Connected automated driving has the potential to significantly improve urban traffic
efficiency, eg, by alleviating issues due to occlusion. Cooperative behavior planning can be …

In this paper we describe cooperation and social dilemmas in multiagent systems, with an
analogy applied to road traffic. Cooperative human drivers, based on their perception of trust …

For highly automated driving above SAE level 3, behavior generation algorithms must
reliably consider the inherent uncertainties of the traffic environment, eg arising from the …