Recently, development in intelligent transportation systems (ITS) requires the input of
various kinds of data in real-time and from multiple sources, which imposes additional …

Accurate traffic flow data is important for traffic flow state estimation, real-time traffic
management and control, etc. Raw traffic flow data collected from inductive detectors may be …

Accurate forecasting of future traffic flow has a wide range of applications, which is a
fundamental component of intelligent transportation systems. However, timely and accurate …

Traffic volume propagating from upstream road link to downstream road link is the key
parameter for designing intersection signal timing scheme. Recent works successfully used …

Short-term traffic flow forecasting at isolated points is a fundamental yet challenging task in
many intelligent transportation systems. We present a novel long short-term memory (LSTM) …

Prediction of the future location of vehicles and other mobile targets is instrumental in
intelligent transportation system applications. In fact, networking schemes and protocols …

Timely and accurate traffic flow forecasting is open challenging. Canonical long short-term
memory (LSTM) network is considered qualified to capture the long-term temporal …

Accurate and reliable traffic flow forecasting is of importance for urban planning and
mitigation of traffic congestion, and it is also the basis for the deployment of intelligent traffic …

Spatio-temporal prediction has drawn much attention given its wide application, of which
traffic flow prediction is a typical task. Within the vision of smart cities, traffic flow prediction …

This paper formulates the traffic flow forecasting task by introducing a maximum correntropy
deduced Kalman filter. The traditional Kalman filter is based on minimum mean square error …