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Statistical Analysis of Safety Performance of Displaced Left-Turn Intersections: Case Studies in San Marcos, Texas

Author

Listed:
  • Wenrui Qu

    (School of Mathematics and Statistics, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China)

  • Qiao Sun

    (Department of Transportation Studies, Texas Southern University, Houston, TX 77004, USA)

  • Qun Zhao

    (Department of Transportation Studies, Texas Southern University, Houston, TX 77004, USA)

  • Tao Tao

    (Department of Transportation Studies, Texas Southern University, Houston, TX 77004, USA)

  • Yi Qi

    (Department of Transportation Studies, Texas Southern University, Houston, TX 77004, USA)

Abstract

Displaced left-turn (DLT) intersections are designed to increase the mobility of vehicles by relocating the left-turn lane (lanes) to the far-left side of the road upstream of the main signalized intersection. Since DLT is a relatively new design and very limited crash data are available, previous studies have focused mainly on the analysis of its operational performance rather than its safety performance. To fill this gap, in this study, we investigated the safety performance of two DLT intersections located in San Marcos, Texas. Crash data from 2011 to April 2018 were extracted from the TxDOT Crash Record Information System (CRIS). These crash data were analyzed using two different approaches, i.e., statistical analysis and collision diagram-based analysis. The results of this study indicated that DLT did not increase the overall crash frequencies at the studied intersections. Traffic crashes related to left turns and right turns were reduced significantly by DLT. Meanwhile, it also caused safety issues related to traffic signage, traffic signal, geometric design, and access management at DLT intersections. Thus, in the implementation of DLT intersections, traffic engineers need to carefully consider different aspects of the DLT intersection design, including access management, traffic signal coordination, and driver acceptance. As a result of these analyses, recommendations were provided for the safe implementation of the DLT design in the future.

Suggested Citation

  • Wenrui Qu & Qiao Sun & Qun Zhao & Tao Tao & Yi Qi, 2020. "Statistical Analysis of Safety Performance of Displaced Left-Turn Intersections: Case Studies in San Marcos, Texas," IJERPH, MDPI, vol. 17(18), pages 1-16, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6446-:d:408870
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    Cited by:

    1. Monika Ziemska-Osuch & Dawid Osuch, 2022. "Modeling the Assessment of Intersections with Traffic Lights and the Significance Level of the Number of Pedestrians in Microsimulation Models Based on the PTV Vissim Tool," Sustainability, MDPI, vol. 14(14), pages 1-11, July.

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