Floating-Car Data for Urban Traffic Monitoring - A new Approach, its Applications and Future Visions
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We propose a novel system leveraging deep learning-based methods to predict urban traffic accidents and estimate their severity. The major challenge is the data imbalance problem in traffic accident prediction. The problem is caused by numerous zero values ...
Basel2023
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Travel time is an important performance measure for transportation systems, and dissemination of travel time information can help travelers make reliable travel decisions such as route choice or departure time. Since the traffic data collected in real time ...
Elsevier2013
We present a linear programming based method to design time varying routing strategies for positive conservative compartmental systems to satisfy piecewise constant capacity constraints. Such systems can be used to describe the flow of material through a n ...
Ieee Computer Soc2012
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Travel time is considered as one of the most important performance measures for roadway systems, and dissemination of travel time information can help travelers to make reliable travel decisions such as route choice or time departure. Since the traffic dat ...
Ieee2012
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IEEE2018
Bus operations throughout the world are increasingly being equipped with Intelligent Transport Systems such as Automatic Vehicle Location (AVL). AVL can support a variety of functions, including Dynamic Bus Fleet Management (DBFM), which has yet to be esta ...
