The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
권호 표지
DOI QR코드

DOI QR Code

Algorithm for Freight Transportation Performance Estimation on Expressway Using TCS and WIM Data

TCS 및 WIM 데이터를 활용한 고속도로 화물수송실적 산정 알고리즘 개발

  • Youjeong Kang (Dept. of Transportation Eng., Kiemyung Univ.) ;
  • Jungyeol Hong (Dept. of Transportation Eng., Kiemyung Univ.) ;
  • Yoonhyuk Choi (Dept. of Transportation Research, Korea Expressway Corporation Research Institute)
  • 강유정 (계명대학교 도시계획 및 교통공학과) ;
  • 홍정열 (계명대학교 교통공학전공) ;
  • 최윤혁 (한국도로공사 도로교통연구원)
  • Received : 2023.03.31
  • Accepted : 2023.05.19
  • Published : 2023.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

Expressways play pivotal roles in cargo transportation because of their superior accessibility and mobility compared to rail and air. On the other hand, there is a limit to the accurate calculation of cargo transportation performance using existing highways owing to the mixture of vehicle types and difficulty in identifying cargo loads of individual cargo vehicles. This paper presents an algorithm for calculating more reliable cargo transportation performance using big data. The traffic performance (veh·km/day) was derived using the data collected from Toll Collecting System. The average tolerance weight for each vehicle type and the cargo load unit (ton/unit) considering it was calculated using vehicle specification information data and high-speed and low-speed axis data. This study calculated the cargo transportation performance by section and type using various online integrated highway data and presented a method for calculating the transportation performance by linking open business offices and private highways.

고속도로는 중장거리 지역 간을 연결하는 자동차 전용도로로 철도 및 항공 수단보다 접근성과 이동성이 우수하여 화물 수송의 중추적인 역할을 담당하고 있다. 그러나 기존의 고속도로를 이용하는 화물수송실적은 차종 구분의 혼재, 개별 화물차량의 화물적재량 파악의 어려움으로 정확한 산정에 한계가 있다. 따라서 본 연구에서는 고속도로 온라인 데이터의 분석을 통하여 보다 신뢰성있는 화물수송실적 산정 방법론의 틀을 제시하고자 하였다. 자동요금징수시스템로부터 수집된 데이터를 활용하여 고속도로 구간별 통행실적(대·km/일)을 도출하였으며 차량제원정보데이터와 고속 및 저속축중기 데이터로부터 차종별 화물 적재 원단위(톤/대)를 도출하였다. 본 연구는 기존에 제시되고 있지 않은 고속도로 구간별, 차종별 화물수송실적을 산정하는데 주요 목적이 있으며, 개방식 영업소, 민자고속도로 등을 모두 연계한 수송실적산정방법을 제시하였다는데 기존 연구와의 차별성을 가진다.

Keywords

Acknowledgement

본 연구는 한국도로공사 도로교통연구원 "고속도로 수송 경쟁력 분석체계 구축 및 사례분석 연구" 지원으로 수행하였습니다.

References

  1. Gil, H. B. and Kang, S. G.(2013), "Characteristics of Heavy Vehicles Using Expressway Networks Based on Weigh-in-motion Data", Journal of the Korean Society of Civil Engineers, Journal of Civil and Environmental Engineering Research, vol. 33, no. 5, pp.1731-1740.  https://doi.org/10.12652/Ksce.2013.33.5.1731
  2. Gomez, D., Viloria, C., Llerena, S. and Tinoco, N.(2019), "IoT Cargo Weight Tracking System for Supply Chains", Computational Logistics. International Conference on Computational logistics 2019. Lecture Notes in Computer Science, vol. 11756, pp.365-379. 
  3. Heo, E. J., Choi, Y. H. and Baek, S. K.(2012), "The Estimation of Freight Transportation Share on Expressway", Proceedings of the Korean Society of Transportation Conference, vol. 66, pp.163-168. 
  4. Hwang, E. S. and Lee, S. W.(2010), "Calibration Method of Vehicle Weight Data from Weigh-In-Motion System According to Temperature Effects", International Journal of Highway Engineering, vol. 12, no. 4, pp.187-196. 
  5. Joo, J. H.(2016), Estimating Truck and Freight Transportation Statistics, Master's Thesis, University of Seoul, Korea. 
  6. Jung, G. H.(2006), A Study on the Freight O-D Estimation Method using Truck Trip Data in Freight Studies, Master's Thesis, Seoul National University, Korea. 
  7. Kim, H. J.(2003), A Study of Concern in the WIM Data Practical Use Way: Laying stress on decision whether or not freight giving a summary for cargo weight analysis, Master's Thesis, Myongji University, Korea. 
  8. Kim, J. W., Jung, Y. Y. and Kwon, S. M.(2016), "Study on the Dynamic Load Monitoring Using the Instrumented Vehicle", The Journal of the Korea Institute of Intelligent Transport Systems, vol. 15, no. 5, pp.95-107.  https://doi.org/10.12815/kits.2016.15.5.095
  9. Korea Transport Institute(KOTI)(2021), 2021 Transportation SOC Investment Outlook, pp.3-13. 
  10. Ministry of Land, Infrastructure and Transport(MOLIT), https://www.molit.go.kr/USR/policyTarget/dtl.jsp?idx=161, 2023.03.23. 
  11. Oh, J. H.(2017), A Study on Estimation for Freight Transportation Indices on Expressway Using TCS and WIM Data, Master's Thesis, University of Seoul, Korea. 
  12. Yang, H. M., Park, D. J., Sin, S. J., Choi, Y. H., Jeong, S. Y. and Heo, E. J.(2013), "A Diagnose Study of Expressway in The Context of Transport Logistics", Proceedings of the Korean Society of Transportation Conference, vol. 68, pp.89-94.