A Comprehensive Double Index Left-Turn Conflict Model at Contraflow Left-Turn Lane Intersections

Authors

  • Yuzhou DUAN Henan University of Technology, College of Civil Engineering
  • Qi SHAO Henan University of Technology, College of Civil Engineering
  • Zhipeng LIN Henan University of Technology, College of Civil Engineering
  • Yulong WANG Henan University of Technology, College of Civil Engineering
  • Qiaowen BAI National University of Singapore, College of Design and Engineering

DOI:

https://doi.org/10.7307/ptt.v36i6.628

Keywords:

contraflow left-turn lane intersection, traffic conflict, double index, traffic safety

Abstract

The study comprehensively evaluates the safety of contraflow left-turn lane intersection, characterised by unique traffic operational features distinct from conventional intersections. The evaluation specifically focuses on the process of left-turning vehicles entering the receiving lane within the intersection. The vehicle arrival rate of left-turning vehicles is analysed to identify vertical conflict features in contraflow left-turn lane design. By subdividing lanes within the intersection, the study delves into the lateral displacement of left-turning vehicles to establish lateral conflict features. To quantify the overall conflict potential, a multiple unit conflicts index is derived by integrating both vertical and lateral conflict features. Furthermore, the double index left-turn conflict model is constructed by introducing the potential collisions severity index during the conflict process. The results indicate that conflict hotspots along the vehicle travel path are primarily concentrated in two regions: (1) at pedestrian crosswalks and within a 2-meter extension; (2) within a range of 6 to 18 meters from the pedestrian crosswalk. The proposed model demonstrates good evaluation effectiveness, providing valuable insights into enhancing the safety of contraflow left-turn lane intersections.

References

World Health Organization. Global status report on road safety 2023. 2023. https://www.who.int/publications/i/item/9789240086517 [Accessed 6th July 2023].

Fernandes P, Coelho MC. Can turbo-roundabouts and restricted crossing U-Turn be effective solutions for urban three-leg intersections?. Sustainable Cities and Society. 2023;96. DOI: 10.1016/j.scs.2023.104672.

Wu N, Liu Y. Potential of ecological benefits for the continuous flow intersection. Promet – Traffic&Transportation. 2023;35(1):106–18. DOI: 10.7307/ptt.v35i1.20.

Guo R, Liu J, Zhao Q, Qi Y. Signal timing and geometric design at contraflow left-turn lane intersections. International Journal of Transportation Science and Technology. 2022;11(3):619–635. DOI: 10.1016/j.ijtst.2021.08.003.

Wu J, Liu P, Zhou Y, Yu H. Stationary condition based performance analysis of the contraflow left-turn lane design considering the influence of the upstream intersection. Transportation Research Part C: Emerging Technologies. 2021;122. DOI: 10.1016/j.trc.2020.102919.

Wu J, et al. Stationary condition based performance analysis of the contraflow left-turn lane design considering the influence of the upstream intersection. Transportation Research Part C: Emerging Technologies. 2021;122. DOI: 10.1016/j.trc.2020.102919.

Qu Z, et al. Release characteristics and safety evaluation of intersection with reversing variable lane. Journal of Transportation Systems Engineering and Information Technology. 2018;18(4):76–82. http://www.tseit.org.cn/CN/abstract/abstract19663.shtml

Saunier N, Sayed T. A probabilistic framework for the automated analysis of the exposure to road collision. Transportation Research Record. 2008;2083(1):96–104. DOI: 10.3141/2083-11.

Sacchi E, Sayed T. Conflict-based safety performance functions for predicting traffic collisions by type. Transportation Research Record: Journal of the Transportation Research Board. 2016;2583(1):50–55. DOI: 10.3141/2583-07.

Sayed T, Zein S. Traffic conflict standards for intersections. Transportation Planning and Technology. 1999;22(4):309–323. DOI: 10.1080/03081069908717634.

Paul M, Ghosh I. Development of conflict severity index for safety evaluation of severe crash types at unsignalized intersections under mixed traffic. Safety Science. 2021;144. DOI: 10.1016/j.ssci.2021.105432.

Fyhri A, Johansson O, Bjornskau T. Gender differences in accident risk with e-bikes-Survey data from Norway. Accident Analysis & Prevention. 2019;132:105248. DOI: 10.1016/j.aap.2019.07.024.

Sayed T, et al. Feasibility of computer vision-based safety evaluations. Transportation Research Record: Journal of the Transportation Research Board. 2012;2280(1):18–27. DOI: 10.3141/2280-03.

Lu J, Grembek O, Hansen M. Learning the representation of surrogate safety measures to identify traffic conflict. Accident Analysis & Prevention. 2022;174. DOI: 10.1016/j.aap.2022.106755.

Ding S, et al. Insights into vehicle conflicts based on traffic flow dynamics. Scientific Reports. 2024;14(1). DOI: 10.1038/s41598-023-50017-3.

Pan H, et al. Evaluating and forecasting rear-end collision risk of long longitudinal gradient roadway via traffic conflict. Journal of Jilin University (Engineering and Technology Edition). 2023;53(5):1355-63. DOI: 10.13229/j.cnki.jdxbgxb.20210912.

Guo Y, Liu P, Wu Y, Li Q. Safety evaluation of unconventional signalized intersection based on traffic conflict extreme model. China Journal of Highway and Transport. 2022;35(1):85–92. DOI: 10.19721/j.cnki.1001-7372.

Cai X, et al. Road traffic safety risk estimation method based on vehicle onboard diagnostic data. Journal of Advanced Transportation. 2020;2020:1–13. DOI: 10.1155/2020/3024101.

Pu Z, Li Z, Jiang Y, Wang Y. Full Bayesian before-after analysis of safety effects of variable speed limit system. IEEE Transactions on Intelligent Transportation Systems. 2021;22(2):964–76. DOI: 10.1109/tits.2019.2961699.

Mullakkal-Babu FA, et al. Probabilistic field approach for motorway driving risk assessment. Transportation Research Part C: Emerging Technologies. 2020;118:102716. DOI: 10.1016/j.trc.2020.102716.

Zhao J, Liu Y. Safety evaluation of intersections with dynamic use of exit-lanes for left-turn using field data. Accident Analysis & Prevention. 2017;102:31–40. DOI: 10.1016/j.aap.2017.02.023.

Liu Q, Zhou X, Zhao J. Modeling the operation of left-turn vehicles at exit lanes for left-turn intersections. Journal of Transportation Engineering, Part A: Systems. 2021;147(5):04021022. DOI: 10.1061/jtepbs.0000520.

Zhao J, Yun M, Zhang M, Yang X. Driving simulator evaluation of drivers’ response to intersections with dynamic use of exit-lanes for left-turn. Accident Analysis and Prevention. 2015;81:107–119. DOI: 10.1016/j.aap.2015.04.028.

Douglas Brown. Tracker 6 Help. https://physlets.org/tracker/help/frameset.html [Accessed 22th January 2024].

Chiriacescu, et al. Dynamic study of torsion using tracker software. Romanian Reports in Physics. 2020;72(3). https://rrp.nipne.ro/2020_72_3.html.

MathWave Technologies. EasyFit – Distribution Fitting Made Easy. https://mathwave.com/en/home.html [Accessed 22th January 2024].

Ma Y, Qin X, Grembek O, Chen Z. Developing a safety heatmap of uncontrolled intersections using both conflict probability and severity. Accident Analysis and Prevention. 2018;113(2018):303–16. DOI: 10.1016/j.aap.2018.01.038.

Arun A, et al. A systematic mapping review of surrogate safety assessment using traffic conflict techniques. Accident Analysis and Prevention. 2021;153(2021):106016. DOI: 10.1016/j.aap.2021.106016.

A F, et al. Probabilistic field approach for motorway driving risk assessment. Transportation Research Part C: Emerging Technologies. 2020;118(2020):102716. DOI: 10.1016/j.trc.2020.102716.

Pan H, et al. Evaluating and forecasting rear-end collision risk of long longitudinal gradient roadway via traffic conflict. Journal of Jilin University (Engineering and Technology Edition). 2023;53(5):1355–63. DOI: 10.13229/j.cnki.jdxbgxb.20210912.

Wen H, et al. CP-CS fusion model for on-ramp merging area on the highway. Journal of South China University of Technology (Natural Science Edition). 2020;48(2):50–57. DOI: 10.12141/j.issn.1000-565X.190227.

Downloads

Published

20-12-2024

How to Cite

DUAN, Y., SHAO, Q., LIN, Z., WANG, Y., & BAI, Q. (2024). A Comprehensive Double Index Left-Turn Conflict Model at Contraflow Left-Turn Lane Intersections. Promet - Traffic&Transportation, 36(6), 1054–1067. https://doi.org/10.7307/ptt.v36i6.628