Knowing how much people travel is essential for transport planning. Empirical mobility traces collected from call detail records (CDRs), location-based social networks (LBSNs), and media data have been used widely to study patterns. However, these suffer sparsity, an issue that has largely overlooked. In order extend the use of low-cost accessible data, this proposes a model fills gaps in spars...

Mobile phones have achieved a high rate of penetration and gained great interest in the field travel behavior studies. However, mobile phone data exploitation for national models has only been sporadically studied thus far. This work focuses on one most extensive cellular surveys its kind carried out far world, which was performed two years between 2018 2019 with participation largest providers...

Title of Document: UNCERTAINTY ASSOCIATED WITH TRAVEL TIME PREDICTION: ADVANCED VOLATILITY APPROACHES AND ENSEMBLE METHODS YANRU ZHANG, PH.D, 2015 Directed By: ALI HAGHANI,PROFESSOR DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING Travel time effectively measures freeway traffic conditions. Easy access to this information provides the potential to alleviate traffic congestion and to increase t...

............................................................................................................................... i Dedication .......................................................................................................................... iii Acknowledgements ............................................................................................................ iv ...