Traffic state estimation is a challenging problem for the transportation community due to the
limited deployment of sensing infrastructure. However, recent trends in the mobile phone …

This paper investigates an integrated traffic environment modeling and model predictive
control (MPC) system to realize interaction-aware dynamic motion planning of an …

Variable techniques have been used to collect traffic data and estimate traffic conditions. In
most cases, more than one technology is available. A legitimate need for research and …

This paper presents an innovative method to adaptively optimize traffic signal plans based
on the estimation of traffic situation achieved from the information of various penetration …

The dynamic travel time prediction is important contents of The intelligent Transportation
System. Dynamic travel time is updating the travel time by the prediction model on the same …

Operation in a real world traffic requires the ability to plan motion in complex environments
(multiple moving participants) from autonomous vehicles. Navigation through such …

It is of critical importance for vessels to detect potentially hazardous situations as early as
possible. Therefore, recognition and prediction of vessel motions require effective …

Understanding traffic conditions, in an urban environment, by means monitoring or/and
predicting is not an easy task. In Intelligent Transportation Systems, the reliable vehicle route …

Predicting future motions of surrounding vehicles and driver's intentions are essential to
avoid future potential risks. The predicting future motions, however, is very challenging …

Lane change trajectory prediction is crucial for autonomous vehicles (AVs) to assess their
own driving safety in advance. However, there are significant uncertainties in the …