The literature on short-term traffic flow forecasting has undergone great development
recently. Many works, describing a wide variety of different approaches, which very often …

The problem of optimally locating fixed sensors on a traffic network infrastructure has been
object of growing interest in the past few years. Sensor location decisions models differ from …

Travel times are key statistics for traffic performance, policy, and management evaluation
purposes. Estimating travel times from local traffic speeds collected with loops or other …

Providing travel time information to travelers on available route alternatives in traffic
networks is widely believed to yield positive effects on individual drive behavior and …

Traffic incidents are recognised as one of the key sources of non-recurrent congestion that
often leads to reduction in travel time reliability (TTR), a key metric of roadway performance …

Travel time is an effective measure of roadway traffic conditions. The provision of accurate
travel time information enables travelers to make smart decisions about departure time …

Existing methods of estimating travel time from GPS data are not able to simultaneously take
account of the issues related to uncertainties associated with GPS and spatial road network …

To improve the quality of travel time information provided to motorists, there is a need to
move away from point forecasts of travel time. Specifically, techniques are needed which …

The provision of lane-level travel time information can enable accurate traffic control and
route guidance in urban roads with distinctive traffic conditions among lanes. However, few …

Neural network (NN)-based models have recently achieved outstanding results in short-term
traffic prediction. However, most of these are based on the regression approach and trained …