KSCE Journal of Civil and Environmental Engineering Research (대한토목학회논문집)

Korean Society of Civil Engeneers (대한토목학회)
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A Travel Time Budget Estimation Using a Mobile Phone Signaling Data

통신 빅데이터를 활용한 통행시간예산 산출 연구

  • 정연식 (영남대학교 도시공학과) ;
  • 남상기 (영남대학교 도시공학과) ;
  • 송태진 (한국교통연구원 국가교통빅데이터사업단)
  • Received : 2018.02.07
  • Accepted : 2018.03.17
  • Published : 2018.06.01
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Abstract

This study proposes a novel approach to explore a "travel time budget (TTB)" using a mobile phone signaling data (MPSD), which are passively generated between a mobile phone and a base station. The data analyzied in this study were provided from KT for 8 days (from May 19 to 26 in 2016). They were about 45 million signals passively generated from users whose stay area during night was classified as three areas in Mapo-gu, Seoul and in the city of Sejong. The estmation of TTB was implemented with various pre-processing techniques on the MPSD data in a data-driven analysis. As a result, the TTBs of Mapo-gu, Seoul and Sejong were 82.94 and 80.70 minutes, respectively. The results in this study were also compared with those based on the traditional methods. The authors expect that this result will help transport experts improve the use of MPSD.

본 연구는 개인 휴대전화와 통신 기지국 간에 발생하는 신호 자료(mobile phone signaling data: MPSD) 기반 통행시간예산(travel time budget: TTB) 산출 방법을 소개한다. 연구를 위해 사용된 데이터는 (주)케이티(KT)에서 2016년 5월 19일부터 2016년 5월 26일까지 서울특별시 마포구 3개 동과 세종특별자치시가 상주지로 분류된 사용자를 대상으로 수집된 44,781,693건이다. TTB 산출은 Data-Driven 방식으로 진행되며 MPSD에 다양한 전처리 작업을 통해 진행되었다. 그 결과 마포구와 세종시의 TTB는 각각 82.94분과 80.70분으로 나타났으며, 도출한 결과를 평가하기 위해 기존 연구 결과와 비교 분석하였다. 결과적으로 본 연구는 향후 교통분야 MPSD 활용을 위한 초석이 될 것으로 기대된다.

Keywords

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