A Study on the Driver's License Renewal and Return Policy through the Recognition of the Elderly's Driving Pattern

고령자의 운전패턴 인식을 통한 운전면허증 갱신 및 반납 정책에 대한 연구

  • Cho, Myeon-gyun (School of Information & Communication, Semyung University)
  • 조면균 (세명대학교 정보통신학부)
  • Received : 2018.07.25
  • Accepted : 2018.10.20
  • Published : 2018.10.28


This study was conducted to derive the traffic accident risk index through the recognition of the elderly driver's driving pattern to reduce the traffic accident rate of elderly drivers and to reflect them in the renewal and return policy of driver's license accordingly. First, the traffic accident risk index is defined by analyzing the behavioral characteristics of older drivers to derive the major factors that lead to traffic accidents. Second, we present a method to measure the traffic accident risk index from the driving pattern of the elderly through the smart-phone, the camera and the distance sensor attached to the car. Finally, we derive three thresholds by computer simulation and determine the accident risk from the measured traffic accident risk index as four steps and suggest ways to ensure safe driving of older drivers. It is required to objectively assess the driving ability of an aged driver in accordance with the proposed method, and to induce the driver to reset the driver's license renewal cycle and voluntarily return the driver's license to minimize social costs due to increased traffic accidents.


Elderly drivers;Accident characteristics;Traffic accident risk index;Traffic accident rate reduced;Driver's license renewal and return


Supported by : Semyung University


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