From a future perspective and with the current advancements in technology, deep
reinforcement learning (DRL) is set to play an important role in several areas like …

Emergency vehicles (EVs) play an essential role in emergency services. One of the most
intuitive indicators of the emergency service process is the response time of EVs. This …

Control of unstable process is challenging owing to its dynamic nature, output multiplicities
and stability issues. This research work focuses to develop a generic data driven modified …

Vehicular social networking is an emerging application of the Internet of Vehicles (IoV)
which aims to achieve seamless integration of vehicular networks and social networks …

With the ambitious plans of renewal and expansion of industrialization in many countries,
the efficiency, agility and cost savings potentially resulting from the application of industrial …

Solving link-based route guidance problems for large-scale networks is computationally
challenging and faces practical issues, such as spatial–temporal data coverage. Thus …

Accurate and real-time tracking for real-world urban logistics has become a popular
research topic in the field of intelligent transportation. While the routing of urban logistic …

Emergency vehicles (EMVs) play a crucial role in responding to time-critical calls such as
medical emergencies and fire outbreaks in urban areas. Existing methods for EMV dispatch …

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

The past decade has witnessed a significant growth of electric vehicles (EVs) deployment in
public and private transportation sectors. Dynamic electric vehicle routing aims to plan the …