In this work we put forward a predictive trajectory planning framework to help autonomous
vehicles plan future trajectories. We develop a partially observable Markov decision process …

Ridepooling is expected to become more and more important in people's mobility. At the
same time, autonomous vehicles are expected to be widely used in such applications in the …

This study aims to explore the role of travel-related self-efficacy in sustained behavior
change. Community-based electric ride-sharing as a pilot project has been introduced to …

Future autonomous vehicles will rely heavily on sharing and communicating information with
other vehicles to maximize their efficiency. These interactions, which will likely include …

Anticipating the forthcoming integration of shared autonomous vehicles (SAVs) into urban
networks, the imperative of devising an efficient real-time scheduling and routing strategy for …

Problems in autonomous systems may be tackled with the help of the attention-based
siamese fully convolutional deep learning (AS-FC-DL) approach, which integrates …

As the influence of time-varying temperature and driving speed on electric vehicle charging
load is not considered in the process of distribution network scheduling, a multiobjective …

The aim of this paper is to investigate the safety of cyclists while interacting with autonomous
vehicles (AVs) in an uncontrolled T-intersection using PTV Vissim microsimulation combined …

Ride-pooling, which accommodates multiple passenger requests in a single trip, has the
potential to substantially enhance the throughput of mobility-on-demand (MoD) systems …

In the near future, fully autonomous vehicles may revolutionise mobility and contribute to the
development of the smart city concept. In this work, we assume that vehicles are not only …