Traffic congestion is a perpetual problem for the sustainability of transportation development.
Traffic congestion causes delays, inconvenience, and economic losses to drivers, as well as …

Evacuation planning and scheduling is a critical aspect of disaster management and
national security applications. This paper proposes a conflict-based path-generation …

This paper presents a hybrid approach to automatic incident detection (AID) in transportation
systems. It combines time series analysis (TSA) and machine learning (ML) techniques in …

Identification and evaluation of traffic congestion are critical for better management of urban
traffic, especially at merge sections where two different traffic streams converge and …

Traffic congestion is an enormous concern in several metropolitan states. This is resulting in
untimely delays and trouble to commuters, financial losses for drivers, inconsistency in travel …

Understanding the relative magnitudes of recurrent vs. non-recurrent congestion in an urban
area is critical to the selection of proper countermeasures and the appropriate allocation of …

With the integration of communication and information technology in the traffic management
system, it is becoming possible to make much-needed changes in the way people commute …

Controlling traffic congestion and ensuring a secure traffic flow has always been a public
concern. Incorporating artificial intelligence (AI)–based traffic data analysis in decision …

Electric vehicles (EVs) may add new challenges during mass evacuations, both in the pre-
departure and post-departure stage of a mass evacuation. The objective of this research is …

Understanding the relative magnitudes of recurrent vs. non-recurrent congestion in an urban
area is critical to the selection of proper measures and the appropriate allocation of …