Cutin Behavior Analyses Based on Naturalistic Driving Data
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    Abstract:

    Based on the realistic driving behavior data collected by Shanghai Naturalistic Driving Study, an automatic extraction algorithm was developed and 4 734 cutin events were identified. This study aims to make indepth analyses on the characteristics of cutin preparation, execution and its impacts on the following vehicle. The results show that cutins are mostly motivated by avoiding slow preceding vehicles in the original lane. Cutin duration and turn signal usage of the Chinese drivers are both less than those of the United States, which shows a more aggressive driving style. About 15% of the followers accelerate with a speed change rate of more than 10% in response to cutin behavior for their discourtesy or intolerance. Compared to freeways and expressways, the cutin behavior on surface roads has a greater impact on the following vehicles and it is more dangerous with higher risks.

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WANG Xuesong, YANG Minming. Cutin Behavior Analyses Based on Naturalistic Driving Data[J].同济大学学报(自然科学版),2018,46(08):1057~1063

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History
  • Received:November 20,2017
  • Revised:May 21,2018
  • Adopted:April 18,2018
  • Online: September 05,2018
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