Table of Contents
International Journal of Vehicular Technology
Volume 2016 (2016), Article ID 6952791, 12 pages
Review Article

Driver Behavior Modeling: Developments and Future Directions

1College of Information Technology, UAE University, Al-Ain, UAE
2School of Computing, Queen’s University, Kingston, ON, Canada

Received 31 August 2016; Accepted 8 November 2016

Academic Editor: Abdelaziz Bensrhair

Copyright © 2016 Najah AbuAli and Hatem Abou-zeid. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The advances in wireless communication schemes, mobile cloud and fog computing, and context-aware services boost a growing interest in the design, development, and deployment of driver behavior models for emerging applications. Despite the progressive advancements in various aspects of driver behavior modeling (DBM), only limited work can be found that reviews the growing body of literature, which only targets a subset of DBM processes. Thus a more general review of the diverse aspects of DBM, with an emphasis on the most recent developments, is needed. In this paper, we provide an overview of advances of in-vehicle and smartphone sensing capabilities and communication and recent applications and services of DBM and emphasize research challenges and key future directions.