The use of Deep Reinforcement Learning (DRL) schemes has increased dramatically since
their first introduction in 2015. Though uses in many different applications are being found …

Intelligent Transportation Systems (ITS) operate within a highly intricate and dynamic
environment characterized by complex spatial and temporal dynamics at various scales …

Traffic obstruction is one of the major problems faced by most of the metropolises in the
dynamic road scene. Most of the roads in various cities (especially India) are poorly …

In recent years, Artificial Intelligence (AI) has been increasingly used in traffic management
and control, particularly in the smart city context. However, the vast majority of recent AI …

In recent years, reinforcement learning (RL) systems have shown impressive performance
and remarkable achievements. Many achievements can be attributed to combining RL with …

The issue of traffic congestion poses a significant obstacle to the development of global
cities. One promising solution to tackle this problem is intelligent traffic signal control (TSC) …

El tráfico vehicular es un problema que se presenta en muchas ciudades a nivel mundial,
para encontrar soluciones a este problema, en las ciudades inteligentes se han propuesto …

The problem of urban traffic management for improved environmental sustainability is
addressed. The objective is to reduce the energy consumption (electricity or fuel), as well as …

Explainable artificial intelligence is a fairly new development in the field of AI which aims to
provide the users of AI systems, particularly decision support systems, with explanations for …