Nature acts as a “Bio-Laboratory”, consisting of plants, algae, fungi, yeast, etc., which are
composed of bio-molecules. These naturally occurring bio-molecules play a vital role in the …

Road reconstruction and the resulting work zones are considered as a major source of traffic
congestion and delays on freeways. The roadway capacity is decreased as a result of a …

This paper presents a cooperative traffic control strategy to increase the capacity of
nonrecurrent bottlenecks such as work zones by making full use of the spatial resources …

This paper proposes an innovative framework of predicting driver behavior under varying
dilemma zone conditions using artificial intelligence-based machine learning. The …

Predicting the traffic conditions in urban networks is a priority for traffic management centres.
This becomes very challenging, especially when the network is affected by traffic incidents …

The introduction of deep learning (DL) models and data analysis may significantly elevate
the performance of traffic speed prediction. Adverse weather causes mobility and safety …

Objectives Traffic management is challenging during construction because of the effects of
traffic congestion, travel time, delay, and queue length. Long-term work zones on urban …

The aim of deploying intelligent transportation systems (ITS) is often to help engineers and
operators identify traffic congestion. The future of ITS-based traffic management is the …

Many places around the world periodically suffer from wildfires that threaten lives and
disrupt normal traffic operations. Poor traffic performance during wildfires can inhibit the …

Texas Department of Transportation (TxDOT) encounters a considerable and yet increasing
number of claims and change orders every year that negatively affects project costs and …