In the last few years, there has been an exponential increase in the usage of the
autonomous vehicles across the globe. It is due to an exponential increase in the popularity …

The unavoidable travel time variability in transportation networks, resulted from the
widespread supply-side and demand-side uncertainties, makes travel time reliability (TTR) …

Due to the increase in vehicle transit and congestion in road networks, providing information
about the state of the traffic to commuters has become a critical issue for Advanced Traveller …

Traffic flow prediction is an essential part of intelligent transportation systems (ITS). Most of
the previous traffic flow prediction work treated traffic flow as a time series process only …

This paper proposes a new data-driven impact area vulnerability analysis approach that
considers both the probability of impact of incidents and their resulting effects on an impact …

An important measurement for the cost-effective growth of any nation is rapidly increasing
vehicle count. The effect of raise in vehicle count grows the traffic congestion. It results in …

Short‐term traffic flow prediction is fundamental for the intelligent transportation system and
is proved to be a challenge. This paper proposed a hybrid strategy that is general and can …

A state‐of‐the‐art review of flow observability, estimation, and prediction problems in traffic
networks is performed. Since mathematical optimization provides a general framework for all …

Transportation plays a key role in today's economy. Hence, intelligent transportation systems
have attracted a great deal of attention among research communities. There are a few …

This paper develops a method for predicting traffic parameters under abrupt changes based
on change point models. Traffic parameters such as speed, flow, and density are subject to …