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Can feedback from in-vehicle data recorders improve driver behavior and reduce fuel consumption?

Listed author(s):
  • Toledo, Galit
  • Shiftan, Yoram
Registered author(s):

    This paper evaluates the effectiveness of feedback, based on In-Vehicle Data Recorders (IVDR), to improve driving behavior, increase driving safety, and reduce fuel consumption. We developed a framework for driving-behavior measurement, incorporating second-by-second data collected by IVDRs. IVDR units were installed in over 150 vehicles driven by more than 350 drivers for over a year. The experiment was divided into three stages. The first stage was a “blind”, control stage, with no feedback. The second stage incorporated verbal feedback given only to riskiest drivers. In the third stage all drivers received a bi-weekly written report about their driving performance. Safety events, such as braking, lateral acceleration or speeding, were recorded. Supplementary data regarding safety related events and fuel consumption were also collected. Safety incidents and fuel consumption were modeled as a function of IVDR measurement-based events, in order to identify which events best reflect safety incidents and excessive fuel consumption. Our results show that braking events best explain safety incidents, and all events together best explain fuel consumption. In addition, we found that for the riskiest drivers, feedback significantly reduced the IVDR events. Our models show that feedback can lead to a reduction of 8% in safety incidents, and 3–10% in fuel consumption, with a larger reduction obtained for large vehicles.

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    File URL: http://www.sciencedirect.com/science/article/pii/S096585641630773X
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    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 94 (2016)
    Issue (Month): C ()
    Pages: 194-204

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    Handle: RePEc:eee:transa:v:94:y:2016:i:c:p:194-204
    DOI: 10.1016/j.tra.2016.09.001
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    1. Barkenbus, Jack N., 2010. "Eco-driving: An overlooked climate change initiative," Energy Policy, Elsevier, vol. 38(2), pages 762-769, February.
    2. Paefgen, Johannes & Staake, Thorsten & Fleisch, Elgar, 2014. "Multivariate exposure modeling of accident risk: Insights from Pay-as-you-drive insurance data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 27-40.
    3. Lord, Dominique & Mannering, Fred, 2010. "The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 291-305, June.
    4. Boriboonsomsin, Kanok & Vu, Alexander & Barth, Matthew, 2010. "Eco-Driving: Pilot Evaluation of Driving Behavior Changes Among U.S. Drivers," University of California Transportation Center, Working Papers qt9z18z7xq, University of California Transportation Center.
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