Investigation of Crossing Conflicts by Vehicle Type at Unsignalized T-Intersections under Varying Roadway and Traffic Conditions in India
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 147, Issue 2
Abstract
The study attempts to investigate crossing conflicts at unsignalized T-intersections under mixed traffic conditions using post encroachment time (PET) as a surrogate safety measure (SSM). To comprehend the objective, data for four unsignalized T-intersections with varying intersection geometry (with and without Central Island) was collected using videography techniques. Primarily, PET datasets were extracted in the lab from the recorded video and were checked for their probability distributions. Among all the potential distributions, generalized extreme value (GEV) distribution was observed to be the best-fitted distribution. Further investigations revealed that the percentage of critical crossing conflicts (PCCC) was higher with the presence of motorized two-wheelers (2W) and motorized three-wheelers (3W) in the traffic stream. This was followed by cars, buses, LCVs, and trucks. Among vehicle type combinations (conflicting-offending), 2W-2W, 2W-3W, 3W-2W, and 3W-3W were identified as the most critical cases for the subject study locations. Further, it was observed that the volume of conflicting stream and proportion of 2Ws in the conflicting stream has a significant effect on PCCC. The obtained PCCC, when compared among the subject study locations for similar traffic flow characteristics, revealed a significant difference between them, highlighting the effect of intersection geometry on traffic safety. The severity of conflicts was delineated into four levels by correlating PET values with the speed of conflicting vehicles. The developed severity levels, compared with the field-recorded crash data are found to be in close approximation. This establishes PET as a valid SSM.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request. Vehicle type-wise PET values for both right-turning conflicts would be made available on request.
Acknowledgments
The authors would like to thank TEQIP-III, a Government of India initiative. The project is sanctioned under the Project No. SVNIT/CED/SSA/TEQIP-III/2975/2019, titled “Proactive Safety Assessment of Un-Signalized T-Intersection under mixed traffic conditions.”
References
Amundsen, F., and C. Hyden. 1977. “Surrogate safety assessment model and validation.” In Proc., Conf. of First Workshop on Traffic Conflicts. Washington, DC: Federal Highway Administration. https://www.fhwa.dot.gov/publications/research/safety/08051/08051.pdf.
Archer, J. 2000. “Developing the potential of micro-simulation modelling for traffic safety assessment.” In Proc., ICTCT Conf. Vienna, Austria: International Co-Operation on Theories and Concepts in Traffic Safety.
Babu, S., and P. Vedagiri. 2016. “Proactive safety evaluation of a multilane un-signalized intersection-using surrogate measures.” Transp. Lett. 10 (2): 104–112. https://doi.org/10.1080/19427867.2016.1230172.
Chin, H.-C., and S.-T. Quek. 1997. “Measurement of traffic conflicts.” Saf. Sci. 26 (3): 169–185. https://doi.org/10.1016/S0925-7535(97)00041-6.
Gettman, D., and L. Head. 2003. “Surrogate safety measures from traffic simulation models.” Transp. Res. Rec. 1840 (1): 104–115. https://doi.org/10.3141/1840-12.
Glauz, W. D., and J. M. Donald. 1980. Application of traffic conflict analysis at intersections. Washington, DC: Transportation Research Board, National Research Council.
Goyani, J., N. Pawar, N. Gore, M. Jain, and S. Arkatkar. 2019. “Investigation of traffic conflicts at unsignalized intersection for reckoning crash probability under mixed traffic conditions.” J. Eastern Asia Soc. Transp. Stud. 13: 2091–2110. https://doi.org/10.11175/easts.13.2091.
Guo, F., S. G. Klauer, J. M. Hankey, and T. A. Dingus. 2010. “Near crashes as crash surrogate for naturalistic driving studies.” Transp. Res. Rec. 2147 (1): 66–74. https://doi.org/10.3141/2147-09.
Huang, F., Liu Pan, Yu Hao, and W. Wang. 2013. “Identifying if VISSIM simulation model and SSAM provide reasonable estimates for field measured traffic conflicts at signalized intersections.” Accid. Anal. Prev. 50 (Jan): 1014–1024. https://doi.org/10.1016/j.aap.2012.08.018.
Hyden, C. 1987. The Development of method for traffic safety evaluation: The Swedish traffic conflict technique. Lund, Sweden: Dept. of Traffic Planning and Engineering, Lund Univ.
INDO-HCM (Indian Highway Capacity Manual). 2017. Indian highway capacity manual. New Delhi, India: Central Road Research Institute.
IRC (Indian Road Congress). 2012. Road accident recording forms A-1 and A-4. New Delhi, India: IRC.
Johnson, R. A., I. Miller, and J. E. Freund. 2017. Miller & Freund’s probability and statistics for engineers. 6th ed. Upper Saddle River, NJ: Prentice Hall.
Kassim, A., K. Ismail, and Y. Hassan. 2014. “Automated measuring of cyclist–motor vehicle post encroachment time at signalized intersections.” Can. J. Civ. Eng. 41 (7): 605–614. https://doi.org/10.1139/cjce-2013-0565.
Kaysi, I., and G. Alam. 2000. “Driver behavior and traffic stream interactions at unsignalized intersections.” J. Transp. Eng. 126 (6): 498–505. https://doi.org/10.1061/(ASCE)0733-947X(2000)126:6(498).
Killi, D. V., and P. Vedagiri. 2014. “Proactive evaluation of traffic safety at an unsignalized intersection using micro-simulation.” J. Traffic Logist. Eng. 2 (2). https://doi.org/10.12720/jtle.2.2.140-145.
Klunder, G., A. Abdoelbasier, and B. Immers. 2006. “Development of a micro-simulation model to predict road traffic safety on intersections.” In Proc., 13th World Congress and Exhibition on Intelligent Transport Systems and Services. Brussels, Belgium: European Commission.
Kumar, A., M. Paul, and I. Ghosh. 2019. “Analysis of pedestrian conflict with right-turning vehicles at signalized intersections in India.” J. Transp. Eng. Part A Sys. 145 (6): 04019018. https://doi.org/10.1061/JTEPBS.0000239.
Mahmud, S. S., L. Ferreira, M. S. Hoque, and A. Tavassoli. 2017. “Application of proximal surrogate indicators for safety evaluation: A review of recent developments and research needs.” IATSS Res. 41 (4): 153–163. https://doi.org/10.1016/j.iatssr.2017.02.001.
Mishra, A., A. Chepuri, S. Arkatkar, and A. Maji. 2017. “Safety evaluation of un-signalized intersection using hybrid approach involving empirical and simulation data sources.” In Proc., 97th Annual Meeting of Transportation Research Board. Washington, DC: Transportation Research Board.
MoRTH (Ministry of Road Transport and Highways). 2017. Road accidents in India. New Delhi, India: Government of India.
MoRTH (Ministry of Road Transport and Highways). 2018. Road accidents in India. New Delhi, India: Government of India.
Patil, G. R., and D. S. Pawar. 2014. “Temporal and spatial gap acceptance for minor road at uncontrolled intersections in India.” Transp. Res. Rec. 2461 (1): 129–136. https://doi.org/10.3141/2461-16.
Paul, M., and I. Ghosh. 2018. “Speed-based proximal indicator for right-turn crashes at un-signalized intersections in India.” J. Transp. Eng., Part A Syst. 144 (6): 04018024. https://doi.org/10.1061/JTEPBS.0000139.
Paul, M., and I. Ghosh. 2019. “Post encroachment time threshold identification for right-turn related crashes at un-signalized intersections on intercity highways under mixed traffic.” Int. J. Inj. Control Saf. Promotion 27 (2): 121–135. https://doi.org/10.1080/17457300.2019.1669666.
Pawar, N., N. Gore, and S. Arkatkar. 2019. “Influence of driving environment on safety at un-signalized T-intersection under mixed traffic conditions.” In Innovative research in transportation infrastructure lecture notes in intelligent transportation and infrastructure, edited by D. Deb, V. Balas, R. Dey, and J. Shah, 23–31. Singapore: Springer.
Peesapati, L. N., M. P. Hunter, and M. O. Rodgers. 2013. “Evaluation of post encroachment time as surrogate for opposing left-turn crashes.” Transp. Res. Rec. 2386 (1): 42–51. https://doi.org/10.3141/2386-06.
Peesapati, L. N., M. P. Hunter, and M. O. Rodgers. 2018. “Can post encroachment time substitute intersection characteristics in crash prediction models?” J. Saf. Res. 66 (Sep): 205–211. https://doi.org/10.1016/j.jsr.2018.05.002.
Pirdavani, A., T. Brijs, T. Bbellemans, and G. Wets. 2010. “Evaluation of traffic safety at un-signalized intersections using microsimulation: A utilization of proximal safety indicators.” Adv. Transp. Stud. 22 (22): 43–50.
Pulugurtha, S. S., V. R. Duddu, and Y. Kotagiri. 2013. “Traffic analysis zone level crash estimation models based on land use characteristics.” Accid. Anal. Prev. 50 (Jan): 678–687. https://doi.org/10.1016/j.aap.2012.06.016.
Reddy, S. K. A., A. Chepuri, S. S. Arkatkar, and G. Joshi. 2019. “Developing proximal safety indicators for assessment of un-signalized intersection—A case study in Surat city.” Transp. Lett. 12 (5): 303–315. https://doi.org/10.1080/19427867.2019.1589162.
Salman, N. K., and K. J. Al-Maita. 1995. “Safety evaluation at three-leg, unsignalized intersections by traffic conflict technique.” Transp. Res. Rec. 1485 (1): 177–185.
Songchitruksa, P., and A. Tarko. 2006. “The extreme value theory approach to safety estimation.” Accid. Anal. Prev. 38 (4): 811–822. https://doi.org/10.1016/j.aap.2006.02.003.
Tarko, A. P. 2018. “Surrogate measures of safety.” In Safe mobility: Challenges, methodology, and solutions, 383–405. Bingley, UK: Emerald Publishing.
Tarko, A. P., and P. Songchitruksa. 2005. “Estimating the frequency of crashes as extreme traffic events.” In Proc., 84th Annual Meeting of the Transportation Research Board. Washington, DC: Transportation Research Board.
Urie, Y., N. R. Velaga, and A. Maji. 2016. “Cross-sectional study of road accidents and related law enforcement efficiency for 10 countries: A gap coherence analysis.” Traffic Inj. Prev. 17 (7): 686–691. https://doi.org/10.1080/15389588.2016.1146823.
Vasconcelos, L., L. Neto, A. M. Álvaro Maia Seco, and A. B. Silva. 2014. “Validation of the surrogate safety assessment model for assessment of intersection safety.” Transp. Res. Rec. 2432 (1): 1–9. https://doi.org/10.3141/2432-01.
Vedagiri, P., and D. V. Killi. 2015. “Traffic safety evaluation of uncontrolled intersections using surrogate safety measures under mixed traffic condition.” Transp. Res. Rec. 2512 (1): 81–89. https://doi.org/10.3141/2512-10.
Vogel, K. 2003. “A comparison of headway and time to collision as safety indicators.” Accid. Anal. Prev. 35 (3): 427–433. https://doi.org/10.1016/S0001-4575(02)00022-2.
Wang, C., C. Xu, and Y. Dai. 2019. “A crash prediction method based on bivariate extreme value theory and video-based vehicle trajectory data.” Accid. Anal. Prev. 123 (Feb): 365–373. https://doi.org/10.1016/j.aap.2018.12.013.
Zheng, L., K. Ismail, and X. Meng. 2014b. “Traffic conflict techniques for road safety analysis: Open questions and some insights.” Can. J. Civ. Eng. 41 (7): 633–641. https://doi.org/10.1139/cjce-2013-0558.
Zheng, L., K. Ismail, and X. H. Meng. 2014a. “Freeway safety estimation using extreme value theory approaches: A comparative study.” Accid. Anal. Prev. 62 (Jan): 32–41. https://doi.org/10.1016/j.aap.2013.09.006.
Zheng, L., and T. Sayed. 2019a. “Application of extreme value theory for before-after road safety analysis.” Transp. Res. Rec. 103 (Jun): 211–225. https://doi.org/10.1177/0361198119841555.
Zheng, L., and T. Sayed. 2019b. “Comparison of traffic conflict indicators for crash estimation using peak over threshold approach.” Transp. Res. Rec. 2673 (5): 493–502. https://doi.org/10.1177/0361198119841556.
Zheng, L., and T. Sayed. 2019c. “From univariate to bivariate extreme value models: Approaches to integrate traffic conflict indicators for crash estimation.” Transp. Res. Part C: Emerging Technol. https://doi.org/10.1016/j.trc.2019.04.015.
Zheng, L., T. Sayed, and M. Essa. 2019. “Validating the bivariate extreme value modeling approach for road safety estimation with different traffic conflict indicators.” Accid. Anal. Prev. 123 (Feb): 314–323. https://doi.org/10.1016/j.aap.2018.12.007.
Information & Authors
Information
Published In
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Nov 27, 2019
Accepted: Sep 1, 2020
Published online: Dec 7, 2020
Published in print: Feb 1, 2021
Discussion open until: May 7, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.