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

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Lane-wise Travel Speed Characteristics Analysis in Uninterrupted Flow Considering Lane-wise Speed Reversal

차로속도역전현상을 고려한 연속류 도로의 차로별 주행 속도 특성 분석

  • Yang, Inchul (Korea Institute of Civil Engineering and Building Technology) ;
  • Jeon, Woo Hoon (Korea Institute of Civil Engineering and Building Technology) ;
  • Ki, Sung hwan (Korea Institute of Civil Engineering and Building Technology) ;
  • Yoon, Jungeun (Korea Institute of Civil Engineering and Building Technology)
  • 양인철 (한국건설기술연구원 도로연구소, 과학기술연합대학교대학원 교통물류 및 ITS공학과) ;
  • 전우훈 (한국건설기술연구원 도로연구소) ;
  • 기성환 (한국건설기술연구원 도로연구소) ;
  • 윤정은 (한국건설기술연구원 도로연구소)
  • Received : 2016.10.14
  • Accepted : 2016.11.28
  • Published : 2016.12.31
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Abstract

In this study, lane-wise traffic flow characteristics were analysed on uninterrupted flow using a new notion of "lane-wise travel speed reversal (LTSR)" which is defined as a phenomena that travel speed in the median lane is lower than other lanes. Mathematical formulation was also proposed to calculate the strength of LTSR. The experiment road site is Seoul Outer Ring Expressway (Jayuro-IC~Jangsoo-IC), and travel trajectories for each four lane were collected for weekdays (Mon. through Fri.) during morning peak. Comparing lane-wise travel speeds for entire test road section, no LTSR was observed, meaning that the travel speed in the median lane is the fastest, followed by 2nd, 3rd, and 4th lane as in order. Howerver, the result of microscopic analysis using 100-meter discrete road section based data shows that LTSR occurs many times. Especially the strength of LTSR is higher in congestion area and freeway merge and diverge segment. It is expected that these results could be used as a fundamental data when establishing lane-by-lane traffic operation strategy and developing lane-wise traffic information collection and dissemination technology.

본 연구에서는 차로별 주행 궤적 데이터를 기반으로 차로속도역전현상이라는 개념을 이용하여 연속류 도로의 차로별 교통류 특성을 분석하였다. 1차로의 주행속도가 다른 차로보다 느린 경우를 차로속도역전현상이라고 정의하고, 이를 수식화하였다. 서울외곽순환고속도로(자유로IC~장수IC, 총 18.7km)를 대상으로 주중 5일(월~금) 동안의 오전 첨두시간대 차로별 주행 궤적 자료를 활용하여 거시적 측면과 미시적 측면에서 차로속도역전현상을 분석하였다. 실험구간 전체를 대상으로 차로별 주행속도를 비교한 거시적인 측면의 결과에서는 차로속도역전현상이 발생하지 않았으나, 실험구간을 세분화한 후 단위구간별 주행속도를 이용하여 미시적인 분석을 수행한 결과는 거시적인 분석 결과와 다르게 차로속도역전현상이 많이 발생하는 것으로 나타났다. 보다 혼잡한 구간에서 차로속도역전현상이 두드러지게 나타났고, 고속도로 기본구간보다는 연결로 접속부 구간에서 차로속도현상의 강도가 높게 나타났다. 본 연구의 결과는 머지않아 도래할 차로 교통정보 시대를 대비하여 현재의 교통정보 서비스 링크 단위의 적정성 판단, 차로 기반의 최적 경로 안내 서비스의 방향 결정 등에 기초적인 데이터로 활용이 가능하다.

Keywords

References

  1. Carter M., Rakha H. and Aerde M. V. (1999), "Variability of traffic flow measure across freeway lanes," Canadian Journal of Civil Engineering, vol. 26, no. 3, pp.270-281. https://doi.org/10.1139/l98-065
  2. Daganzo C. F. (2002), "A behavioral theory of multi-lane traffic flow, Part I: Long homogeneous freeway sections," Transportation Research 36B, pp.131-158.
  3. Amin M. R. and Banks J. H. (2005), "Variation in freeway lane use patterns with volume, time of day, and location," Transportation Research Record 1934, pp.132-139. https://doi.org/10.3141/1934-14
  4. Duret A., Ahn S. and Buisson C. (2012), "Lane flow distribution on a three-lane freeway: General features and the effects of traffic controls," Transportation Research Part C: Emerging Technologies, vol. 24, no. 0, pp.157-167. https://doi.org/10.1016/j.trc.2012.02.009
  5. Rim H., Oh C., Kang K. and Kim S. (2011), "Estimation of Lane-Level Travel Times in Vehicle-to-Vehicle and Vehicle-to-Infrastructure-Based Traffic Information System," Transportation Research Record: Journal of the Transportation Research Board, vol. 2243, no.-1, pp. 9-16. https://doi.org/10.3141/2243-02
  6. Yoon J., Kim H., Lee E-E., Yang I. and Jeon W. (2016), "Analysis of Lane-by-lane Traffic Flow Characteristics in Korea by Using Multilane Freeway Data," Int. J. Highw. Eng, vol. 18, no. 3, pp.87-94. https://doi.org/10.7855/IJHE.2016.18.3.087
  7. Jeon W. H and Yang I. (2016), "Unit distance based trajectory calculation algorithm using GPS data," Conference of the Korean Society of Road Engineers.
  8. Kim S., Kim Y., Kim T. and Son Y. (2004), "A Study on Characteristics of Traffic Flow in Congested Traffic at On-Ramp Influence Area," Journal of Korean Society of Transportation, vol. 22, no. 5, pp.99-109.
  9. Lee S., Park J and Kang J. (2005), "Analysis of Merging Behaviors and Traffic Characteristics on Freeway Merging Areas According to Acceleration Lane Length," Journal of Korean Society of Transportation, vol. 23, no. 8, pp.53-66.

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