Design of Driving Behavior Pattern Measurements Using Smartphone Global Positioning System Data

Xiaoyu Zhu, Xianbiao Hu, Yi Chang Chiu

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The emergence of new technologies such as GPS, cellphone, Bluetooth device, etc. offers opportunities for collecting high-fidelity temporal-spatial travel data in a cost-effective manner. With the vehicle trajectory data achieved from a smartphone app Metropia, this study targets on exploring the trajectory data and designing the measurements of the driving pattern. Metropia is a recently available mobile traffic app that uses prediction and coordinating technology combined with user rewards to incentivize drivers to cooperate, balance traffic load on the network, and reduce traffic congestion. Speed and celeration (acceleration and deceleration) are obtained from the Metropia platform directly and parameterized as individual and system measurements related to traffic, spatial and temporal conditions. A case study is provided in this paper to demonstrate the feasibility of this approach utilizing the trajectory data from the actual app usage. The driving behaviors at both individual and system levels are quantified from the microscopic speed and celeration records. The results from this study reveal distinct driving behavior pattern and shed lights for further opportunities to identify behavior characteristics beyond safety and environmental considerations.

Original languageEnglish (US)
Pages (from-to)269-288
Number of pages20
JournalInternational Journal of Transportation Science and Technology
Volume2
Issue number4
DOIs
StatePublished - Dec 1 2013

Fingerprint

behavior pattern
traffic behavior
Smartphones
Application programs
Global positioning system
GPS
Trajectories
trajectory
traffic
Traffic congestion
Bluetooth
Deceleration
traffic congestion
reward
new technology
driver
travel
safety
behaviour pattern
Costs

Keywords

  • At-risk behavior
  • Driving pattern
  • Information communication and technology (ICT)
  • Trajectory data

ASJC Scopus subject areas

  • Transportation
  • Automotive Engineering
  • Civil and Structural Engineering
  • Management, Monitoring, Policy and Law

Cite this

Design of Driving Behavior Pattern Measurements Using Smartphone Global Positioning System Data. / Zhu, Xiaoyu; Hu, Xianbiao; Chiu, Yi Chang.

In: International Journal of Transportation Science and Technology, Vol. 2, No. 4, 01.12.2013, p. 269-288.

Research output: Contribution to journalArticle

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