This article studies reliable shortest path (RSP) problems in stochastic transportation
networks. The term reliability in the RSP literature has many definitions, eg, 1) maximal …

As an extremely important part of traffic arteries, bridge structure plays an essential role in
national economic construction, social development and smart city. Thus the monitoring of …

Vehicle taillight intention detection is an important application for perception and decision
making by intelligent vehicles. However, effectively improving detection precision with …

The unmanned surface vehicle (USV) has attracted more and more attention because of its
basic ability to perform complex maritime tasks autonomously in constrained environments …

On-demand delivery in urban areas has been growing rapidly in recent years. Nevertheless,
on-demand delivery networks lack an efficient, sustainable, and environmentally friendly …

Game theory was widely used to model the decision making strategy of pedestrians in the
process of emergency evacuation. However, the dynamic evolution of cooperation …

With the continuous advancement in data-acquisition devices, computer vision techniques,
and machine-learning (ML) algorithms over the past decades, artificial intelligence (AI) …

Wireless body area network (WBAN) suffers secure challenges, especially the
eavesdropping attack, due to constraint resources. In this article, deep reinforcement …

This paper investigates the stochastic on-time arrival (SOTA) problem in transportation
networks. We propose a fourth moment approach (FMA), which calculates the tight lower …

In this paper, a distributed deep reinforcement learning algorithm based on Proximal Policy
Optimization (PPO) is proposed for an unmanned aerial vehicle (UAV) to autonomously …