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