Traffic congestion has been an actual problem in large cities, causing personal
inconvenience and environmental pollution. To solve this problem, new applications for …

Predicting traffic disturbances is a challenging problem in urban cities. Emergency vehicles
(EV) is one of the biggest disturbances that affect traffic fluidity. The goal of this paper is to …

The number of vehicles is drastically increasing worldwide, especially in large cities. Thus
there is a need to model and enhance the traffic management to help meet this rising …

In the last decade, substantial progress has been achieved in intelligent traffic control
technologies to overcome consistent difficulties of traffic congestion and its adverse effect on …

Deep reinforcement learning provides a new approach to solving complex signal
optimization problems at intersections. Earlier studies were limited to traditional traffic …

The traffic congestion in a city is one of the most important problems that must be taken into
account in the smart city. Many cities suffer from the serious traffic congestion as the city …

Abstract Intelligent Transportation Systems (ITS) help improve the ever‐increasing vehicular
flow and traffic efficiency in urban traffic to reduce the number of accidents. The generation …

This study introduces a comprehensive framework for discerning and enhancing traffic
system safety through a multifaceted approach that integrates Markov processes and deep …

With the rapid growth and development of cities, Intelligent Traffic Management and Control
(ITMC) is becoming a fundamental component to address the challenges of modern urban …

The importance of disaster management is evident by the increasing number of natural and
manmade disasters such as Irma and Manchester attacks. The estimated cost of the recent …