Nowadays Convolutional Neural Networks (CNNs) are being employed in a wide range of
industrial technologies for a variety of sectors, such as medical, automotive, aviation …

Designing an Emergency Vehicle Management (EVM) system that can provide competent
services with the shortest possible delay is challenging. This is primarily due to the highly …

In the realization of smart cities, the most important component is the smart logistics in which
the vehicle routing problem (VRP) plays a significant role. The VRP has been proven to be …

Evacuation planning and emergency routing systems are crucial in saving lives during
disasters. Traditional emergency routing systems, despite their best efforts, often struggle to …

As one of the commonly used vehicles for underwater detection, underwater robots are
facing a series of problems. The real underwater environment is large-scale, complex, real …

Recent years have witnessed the rapid development of the Cooperative Vehicle
Infrastructure System (CVIS), where road infrastructures such as traffic lights (TL) and …

In a trip planning service, travelers first set a starting point, a destination, and a sequential
list of specific points of interest types (eg, museums, restaurants, and parks). Based on this …

An urban pluvial flood is a devastating, costly natural disaster requiring effective rescue path
planning to mitigate the loss of lives and property. The inherent uncertainty and complexity …

In this paper, a novel path planning algorithm with Reinforcement Learning is proposed
based on the topological map. The proposed algorithm has a two-level structure. At the first …

Generally, mobility management (MM) solutions are centralized, which means only one
entity controls the mobility-related tasks of mobile nodes connected to the network. However …