The proper functioning of connected and autonomous vehicles (CAVs) is crucial for the
safety and efficiency of future intelligent transport systems. Meanwhile, transitioning to fully …

Traffic sensing system requires to periodically collect spatial–temporal traffic data distributed
among road networks, which results in overhigh bandwidth consumption and storage cost in …

This paper investigates cooperative data uploading and task offloading in heterogeneous
Internet of Vehicles (IoV). Specifically, considering the characteristics that different tasks may …

Abstract Multi-Agent Reinforcement Learning (MARL) is widely used to solve various
problems in real life. In the multi-agent reinforcement learning tasks, there are multiple …

Numerous large graphs may be constructed from smaller ones, and graph operations are
important in many graph theory applications. Here, we investigate the double and the strong …

Accurate and timely voltage prediction can help battery management systems detect
potential voltage faults in advance and take corresponding measures to ensure the safety of …

Roundabouts frequently present challenging traffic scenarios, often leading to accidents,
making it crucial to design a safe and efficient automatic driving decision-making system for …

While existing research has made progress in optimizing the route planning performance for
a small number of vehicles, it often falls short of adequately considering the dynamic …

Reaching the accident scene promptly for emergency vehicles (EVs) can significantly
alleviate the negative impact of accidents. However, finding a way to reduce the response …

People in general find it difficult to determine the transportation route, because to get to one
destination there are many alternative paths that must be passed. This study aims to model …