Driver Behavior Modeling: Developments and Future Directions
Author(s) -
Najah AbuAli,
Hatem Abouzeid
Publication year - 2016
Publication title -
international journal of vehicular technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.182
H-Index - 18
eISSN - 1687-5710
pISSN - 1687-5702
DOI - 10.1155/2016/6952791
Subject(s) - software deployment , key (lock) , wireless , context (archaeology) , computer science , systems engineering , cloud computing , risk analysis (engineering) , engineering , telecommunications , computer security , software engineering , business , paleontology , biology , operating system
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
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