CYHCNov 11, 2016

Smartphone-based Vehicle Telematics - A Ten-Year Anniversary

arXiv:1611.03618v1143 citations
Originality Synthesis-oriented
AI Analysis

It addresses the challenge of leveraging smartphone mobility for automotive applications like insurance and safety, but is incremental as it primarily surveys existing research.

This paper reviews the first decade of smartphone-based vehicle telematics research, summarizing key projects and system aspects like sensors and energy consumption, while highlighting differences from traditional automotive navigation and surveying state-of-the-art applications such as transportation mode classification and road condition monitoring.

Just like it has irrevocably reshaped social life, the fast growth of smartphone ownership is now beginning to revolutionize the driving experience and change how we think about automotive insurance, vehicle safety systems, and traffic research. This paper summarizes the first ten years of research in smartphone-based vehicle telematics, with a focus on user-friendly implementations and the challenges that arise due to the mobility of the smartphone. Notable academic and industrial projects are reviewed, and system aspects related to sensors, energy consumption, cloud computing, vehicular ad hoc networks, and human-machine interfaces are examined. Moreover, we highlight the differences between traditional and smartphonebased automotive navigation, and survey the state-of-the-art in smartphone-based transportation mode classification, driver classification, and road condition monitoring. Future advances are expected to be driven by improvements in sensor technology, evidence of the societal benefits of current implementations, and the establishment of industry standards for sensor fusion and driver assessment

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