Introduction Due to the menacing increase in the number of vehicles on a daily basis,
abating road congestion is becoming a key challenge these years. To cope-up with the …

Over the past few decades, the increasing number of vehicles and imperfect road traffic
management have been sources of congestion in cities and reasons for deteriorating health …

An efficient traffic signal control system (TSCS) should not only be reactive to the current
traffic but also be predictive by anticipating future traffic disturbances. In this study, we …

This work presents a hybrid model of Case-based Reasoning (CBR) and artificial immune
systems (AIS), which is able to manage the processes of recovery, adaptation (reuse and …

This article tackles a pervasive problem in connected transportation networks: the issue of
conflicting right-of-way between trams and Connected Vehicles (CV) at intersections. Trams …

This paper presents multiple readings to solve a vehicle routing problem with pickup and
delivery (VRPPD) based on a real-life case study. Compared to theoretical problems, real …

Authorities in modern cities are facing daily challenges related to traffic control. Due to the
problem complexity caused by the urbanization growth, investing in developing traffic signal …

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 …

Connected Vehicles and Autonomous Vehicles (CAVs) provide various sources of vehicular
related information to intersection infrastructure by integrating on-board sensors processing …

Favouring the crossing of Emergency Vehicles (EVs) through intersections in urban cities is
very critical for people lives. There have been several efforts toward developing Traffic …