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 …

Traffic flow data is a decisive element in transportation planning and traffic management.
Over time, traffic sensors have been recognized as sources of such data. Despite their …

In order to effectively manage the use of existing infrastructures and prevent the emergency
caused by the large gathered crowd, the short-term passenger flow forecasting technology …

Traffic control and management applications require the full realization of traffic flow data.
Frequently, such data are acquired by traffic sensors with two issues: it is not practicable or …

Traffic management and control applications require comprehensive knowledge of traffic
flow data. Typically, such information is gathered using traffic sensors, which have two basic …

Origin-destination (OD) pattern estimation is a vital step for traffic simulation applications and
active urban traffic management. Many methods have been proposed to estimate OD …

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 deals with the problem of predicting traffic flows and updating these predictions
when information about OD pairs and/or link flows becomes available. To this end, a …

Fusing freeway traffic data such as spot speeds and travel times from a variety of traffic
sensors (loops, cameras, automated vehicle identification systems) into a coherent …

Traffic congestion is a condition of a segment in the road network where the traffic demand is
greater than the available road capacity. The detection of unusual traffic patterns including …