  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
