REVIEW OF THE ADAPTIVE SWEDISH TRAFFIC CONFLICT TECHNIQUE: APPLICATIONS AND IMPLICATIONS FOR ROAD TRAFFIC SAFETY

  • Wahyu Arif Pratama Universitas Muhammadiyah Yogyakarta, Department of Civil Engineering, Jalan Brawijaya, Tamantirto, Kasihan, Bantul, Daerah Istimewa Yogyakarta, Indonesia https://orcid.org/0009-0009-2721-1215
  • Noor Mahmudah Universitas Muhammadiyah Yogyakarta, Department of Civil Engineering, Jalan Brawijaya, Tamantirto, Kasihan, Bantul, Daerah Istimewa Yogyakarta, Indonesia
Keywords: adaptive, application, development, road, swedish TCT

Abstract


The Swedish Traffic Conflicts Technique (STCT) is a systematic approach used to examine traffic conflicts, specifically emphasising the correlation between severe conflicts and accidents. It uses safety indicators such as average speed, post-encroachment time, deceleration rate, time to collision, and traffic flow size to evaluate the gravity of interactions between pedestrian and motorised vehicles. The development of the TCT has been significant, with studies highlighting the impact of speeding, inattentiveness, inadequate following distance, signal violations, drowsiness, excessive alcohol consumption, and reckless driving on road safety. The Adaptive STCT for road traffic safety is a significant area of research and development, aiming to enhance understanding of the global implementation and efficacy of the Adaptive Swedish TCT in enhancing road traffic safety. The STCT has been applied in various countries, including Sao Carlos, Nanjing, Ho Chi Minh City, and Qatar, and has shown significant development in identifying hazardous manoeuvres at urban intersections, facilitating the adoption of safer designs and efficient risk management measures. Nevertheless, research on the STCT's implementation on rural roads is limited; it highlights the need for further investigation and implementation in rural environments due to varying road safety issues.

References

Baraskar, D. G. (2022). Study on road traffic multimodal simulation, comparative study on simulation software on intersection and its road safety audit. International Journal of Engineering Applied Sciences and Technology.

Jarašūnienė, A., & Batarlienė, N. (2018). Analysis of road traffic safety increase using intelligent transport systems in Lithuania. Vision Zero for Sustainable Road Safety in Baltic Sea Region.

Johnsson, C., Laureshyn, A., & Ceunynck, T. D. (2018). In search of surrogate safety indicators for vulnerable road users: A review of surrogate safety indicators. Transport Reviews, 38(6), 765-785. https://doi.org/10.1080/01441647.2018.1442888

Campbell, R. E., & King, L. E. (1970). Rural intersection investigation for the purpose of evaluating the General Motors traffic-conflicts technique. Highway Research Board Special Report (No. 107), 10.

Sayed, T., & Zein, S. R. (1999). Traffic conflict standards for intersections. Transportation Planning and Technology, 22(4), 309-323. https://doi.org/10.1080/03081069908717634

Tarko, A. P. (2020). Traffic conflicts as crash surrogates.

Chen, W.-H., et al. (2021). Prediction of rear-end conflict frequency using multiple-location traffic parameters. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2021.106007

Gui-ping, X. (2006). The gray cluster theory method in evaluation of traffic safety based on traffic conflict technique at signal intersection. Journal of North China Institute of Science and Technology.

Naidu, M. B., & Chhabra, R. S. (2018). Safety indicators for heterogeneous non-lane-based traffic: A case study at Outer Ring Road-Delhi. Indian Journal of Science and Technology, 11(10). https://doi.org/10.17485/ijst/2018/v11i10/103552

Peng, J. L., & Wang, D. (2011). Pre-warning information system of traffic safety. Advanced Materials Research. https://doi.org/10.4028/www.scientific.net/amr.368-373.3320

Zheng, L., Sayed, T., & Mannering, F. L. (2020). Modeling traffic conflicts for use in road safety analysis: A review of analytic methods and future directions. Analytic Methods in Accident Research, 100142. https://doi.org/10.1016/j.amar.2020.100142

Soares, L. C., do Prado, H. A., Balaniuk, R., Ferneda, E., & Bortoli, A. D. (2018). Caracterização de acidentes rodoviários e as ações governamentais para a redução de mortes e lesões no trânsito. Revista Transporte y Territorio. https://doi.org/10.34096/rtt.i19.5331

Jasiūnienė, V., Pociūtė, G., Vaitkus, A., Ratkevičiūtė, K., & Pakalnis, A. (2018). Analysis and evaluation of trapezoidal speed humps and their impact on the driver. Baltic Journal of Road and Bridge Engineering. https://doi.org/10.7250/bjrbe.2018-13.404

Vaitkus, A., et al. (2017). Traffic calming measures: An evaluation of the effect on driving speed. Promet-Traffic & Transportation. https://doi.org/10.7307/ptt.v29i3.2265

Jakobowsky, C., Siebert, F., Schießl, C., Junghans, M., Dotzauer, M., & Dotzauer, M. (2021). Why so serious? - Comparing two traffic conflict techniques for assessing encounters in shared space. Transactions on Transport Sciences. https://doi.org/10.17605/osf.io/cztvn

Brown, G. (1994). Traffic conflicts for road user safety studies. Canadian Journal of Civil Engineering. https://doi.org/10.1139/l94-001

Kuang, Y., Qu, X., & Yan, Y. (2017). Will higher traffic flow lead to more traffic conflicts? A crash surrogate metric-based analysis. PLOS ONE. https://doi.org/10.1371/journal.pone.0182458

Paul, M. (2019). Safety assessment at unsignalized intersections using post-encroachment time's threshold: A sustainable solution for developing countries. Lecture Notes in Civil Engineering. https://doi.org/10.1007/978-981-13-7162-2_10

Bonela, S. R., & Kadali, B. R. (2022). Review of traffic safety evaluation at T-intersections using surrogate safety measures in developing countries context. IATSS Research. https://doi.org/10.1016/j.aap.2023.107380

Mahmud, S. M. S., Ferreira, L., Hoque, M. S., & Tavassoli, A. (2017). Application of proximal surrogate indicators for safety evaluation: A review of recent developments and research needs. IATSS Research, 41, 153-163.

Zheng, L., & Sayed, T. (2019). Comparison of traffic conflict indicators for crash estimation using peak over threshold approach. Transportation Research Record. https://doi.org/10.1177/0361198119841556

Tak, S., Lee, D., Choi, S., & Yeo, H. (2017). Collision avoidance system with uni-directional communication for mitigating the adverse effects on following vehicles. WIT Transactions on the Built Environment. https://doi.org/10.2495/ut170361

Kim, H. S., Hwang, Y., Yoon, D., Choi, W., & Park, C. H. (2014). Driver workload characteristics analysis using EEG data from an urban road. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2014.2333750

Yoshino, K., Oka, N., Yamamoto, K., Takahashi, H., & Kato, T. (2013). Correlation of prefrontal cortical activation with changing vehicle speeds in actual driving: A vector-based functional near-infrared spectroscopy study. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2013.00895

Bulla-Cruz, L. A., Laureshyn, A., & Lyons, L. (2020). Event-based road safety assessment: A novel approach towards risk microsimulation in roundabouts. Measurement. https://doi.org/10.1016/j.measurement.2020.108192

Hydén, C., & Linderholm, L. (1984). The Swedish traffic-conflicts technique. In Traffic safety and the environment (pp. 149-158). https://doi.org/10.1007/978-3-642-82109-7_12

Jian, L. (2010). Safety evaluation of signalized intersections using traffic conflict technique. Journal of Transport Information and Safety. https://doi.org/10.1016/j.jtis.2010.09.003

Sheykhfard, A., Haghighi, F., Papadimitriou, E., & van Gelder, P. (2021). Analysis of the occurrence and severity of vehicle-pedestrian conflicts in marked and unmarked crosswalks through naturalistic driving study. Transportation Research Part F: Traffic Psychology and Behaviour, 80, 64-82. https://doi.org/10.1016/j.trf.2020.11.008

Ling-jun, W. (2009). Evaluation of traffic safety at intersections based on traffic conflict technique. Journal of Hefei University of Technology, 32(2), 54-59.

Golob, T. F., Recker, W. W., & Alvarez, V. M. (2004). Freeway safety as a function of traffic flow. Accident Analysis & Prevention, 36(4), 589-597. https://doi.org/10.1016/j.aap.2003.09.006

Xiao, X., & Wu, Z. (2015). Research review of the impacts of adverse weather on traffic flow index. In Proceedings of the 15th TRB Conference (pp. 1-12). https://doi.org/10.1061/9780784479292.288

Hauer, E. (2014). The art of regression modeling in road safety. Springer. https://doi.org/10.1007/978-3-319-12529-9

Laureshyn, A., & Varhelyi, A. (2018). The Swedish traffic conflict technique: Observer’s manual. Swedish National Road and Transport Research Institute.

Elvik, R., Høye, A., Vaa, T., & Sørensen, M. (2009). The handbook of road safety measures (2nd ed.). Emerald Group Publishing. https://doi.org/10.1108/9781848552517

Amoros, E., Martin, J.-L., & Laumon, B. (2006). Under-reporting of road crash casualties in France. Accident Analysis & Prevention, 38(3), 627-635. https://doi.org/10.1016/j.aap.2005.11.006

Alsop, J. C., & Langley, J. D. (2001). Under-reporting of motor vehicle traffic crash victims in New Zealand. Accident Analysis & Prevention, 33(1), 1-10. https://doi.org/10.1016/s0001-4575(00)00049-x

Chin, H. C., & Quek, S. T. (1997). Measurement of traffic conflicts. Safety Science, 27(3), 169-182. https://doi.org/10.1016/s0925-7535(97)00041-6

Haque, M. M., Boyle, L. N., Essa, M., & Sayed, T. (2015). Simulated traffic conflicts: Do they accurately represent field-measured conflicts? Transportation Research Record, 2514(1), 36-44. https://doi.org/10.3141/2514-06

Sun, Z., Chen, Y., Wang, P., Fang, S., & Tang, B. (2021). Vision-based traffic conflict detection using trajectory learning and prediction. IEEE Access, 9, 86521-86531. https://doi.org/10.1109/access.2021.3061266

Cantisani, G., Moretti, L., & Barbosa, Y. D. A. (2019). Safety problems in urban cycling mobility: A quantitative risk analysis at urban intersections. Safety, 5(1), 6. https://doi.org/10.3390/safety5010006

Amare, V., & Smirnovs, J. (2021). Road traffic safety analysis of different junction types on the state roads. IOP Conference Series: Materials Science and Engineering, 1202(1), 012034. https://doi.org/10.1088/1757-899x/1202/1/012034

Sarkar, D. R., Rao, K. R., & Chatterjee, N. (2023). A review of surrogate safety measures on road safety at unsignalized intersections in developing countries. Accident Analysis & Prevention, 195, 107380. https://doi.org/10.1016/j.aap.2023.107380

Zhang, Y., Yao, D., Qiu, T. Z., & Peng, L. (2014). Scene-based pedestrian safety performance model in mixed traffic situation. IET Intelligent Transport Systems, 8(3), 186-192. https://doi.org/10.1049/iet-its.2013.0012

Young, W., Sobhani, A., Lenne, M. G., & Sarvi, M. (2014). Simulation of safety: A review of the state of the art in road safety simulation modelling. Accident Analysis & Prevention, 62, 1-14. https://doi.org/10.1016/j.aap.2014.01.008

Chaudhari, A., Gore, N., Arkatkar, S. S., Joshi, G., & Pulugurtha, S. S. (2020). Exploring pedestrian surrogate safety measures by road geometry at midblock crosswalks: A perspective under mixed traffic conditions. IATSS Research, 44(1), 12-24. https://doi.org/10.1016/j.iatssr.2020.06.001

Zheng, L., Ismail, K., & Meng, X. (2014). Traffic conflict techniques for road safety analysis: Open questions and some insights. Canadian Journal of Civil Engineering, 41(6), 633-641. https://doi.org/10.1139/cjce-2014-0045

Leledakis, A., Lindman, M., Östh, J., Wågström, L., Davidsson, J., & Jakobsson, L. (2021). A method for predicting crash configurations using counterfactual simulations and real-world data. Accident Analysis & Prevention, 155, 105932. https://doi.org/10.1016/j.aap.2020.105932

Hu, Y., Li, Y., Huang, H., Lee, J., Yuan, C., & Zou, G. (2021). A high-resolution trajectory data driven method for real-time evaluation of traffic safety. Accident Analysis & Prevention, 155, 106503. https://doi.org/10.1016/j.aap.2021.106503

Engstrom, J., Liu, S.-Y., DinparastDjadid, M., & Simoiu, C. (2022). Modeling road user response timing in naturalistic settings: A surprise-based framework. Accident Analysis & Prevention, 164, 107460. https://doi.org/10.1016/j.aap.2024.107460

Meirelles, R. L. M. (2003). Aplicação da técnica sueca de análise de conflitos de tráfego em cruzamentos críticos da cidade de São Carlos. Universidade de São Paulo. https://doi.org/10.11606/d.18.2017.tde-10072017-160241

Kocourek, J., & Padělek, T. (2016). Application of the traffic conflict technique in the Czech Republic. In Smart Cities Symposium Prague (SCSP) (pp. 1-7). https://doi.org/10.1109/scsp.2016.7501037

Li, S., Xiang, Q., Ma, Y., Gu, X., & Li, H. (2016). Crash risk prediction modeling based on the traffic conflict technique and a microscopic simulation for freeway interchange merging areas. International Journal of Environmental Research and Public Health, 13(11), 1157. https://doi.org/10.3390/ijerph13111157

Vuong, T. Q. (2017). Traffic conflict technique development for traffic safety evaluation under mixed traffic conditions of developing countries. Journal of Traffic and Transportation Engineering, 4(2), 83-93. https://doi.org/10.17265/2328-2142/2017.04.004

Cafiso, S., Graziano, A. D., & Pappalardo, G. (2017). In-vehicle stereo vision system for identification of traffic conflicts between bus and pedestrian. Journal of Traffic and Transportation Engineering. https://doi.org/10.1016/j.jtte.2016.05.007

Meel, I. P., Vesper, A., Borsos, A., & Koren, C. (2017). Evaluation of the effects of auxiliary lanes on road traffic safety at downstream of U-turns. Transportation Research Procedia. https://doi.org/10.1016/j.trpro.2017.05.186

Ghanim, M. S., & Shaaban, K. (2019). A case study for surrogate safety assessment model in predicting real-life conflicts. Arabian Journal for Science and Engineering. https://doi.org/10.1007/s13369-018-3326-8

Zheng, L., Sayed, T., & Tageldin, A. (2018). Before-after safety analysis using extreme value theory: A case of left-turn bay extension. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2018.09.023

Zheng, L., & Sayed, T. (2019). Application of extreme value theory for before-after road safety analysis. Transportation Research Record. https://doi.org/10.1177/0361198119841555

Kusumastutie, N. S., & Rusmandani, P. (2019). A brief review: Traffic conflict techniques and the challenges of the studies in Indonesia. MATEC Web of Conferences. https://doi.org/10.1051/matecconf/201927003004

Uzondu, C., Jamson, S., & Lai, F. (2019). Investigating unsafe behaviours in traffic conflict situations: An observational study in Nigeria. Journal of Traffic and Transportation Engineering. https://doi.org/10.1016/j.jtte.2018.06.002

Romanowska, A., Jamroz, K., & Olszewski, P. (2019). Review of methods for assessing traffic conditions on basic motorway and expressway sections. Archives of Transport. https://doi.org/10.5604/01.3001.0014.0205

Otero-Niño, J. D. J., et al. (2019). Road safety assessment in preferential bus lanes through field analysis and microsimulation of traffic conflicts. Revista Facultad De Ingenieria-Universidad De Antioquia. https://doi.org/10.17533/udea.redin.n90a10

Qi, W., Wang, W., Shen, B., & Wu, J. (2020). A modified post encroachment time model of urban road merging area based on lane-change characteristics. IEEE Access. https://doi.org/10.1109/access.2020.2987959

Kizawi, A. (2021). Analysis of vehicle-pedestrian and bicyclist conflicts in Győr-Hungary using Swedish conflict technique. Acta Technica Jaurinensis. https://doi.org/10.14513/actatechjaur.00605

Formosa, N., Quddus, M., Papadoulis, A., & Timmis, A. (2022). Validating a traffic conflict prediction technique for motorways using a simulation approach. Sensors. https://doi.org/10.3390/s22020566

Swanson, J. M., et al. (2022). Observing pedestrian-vehicle traffic conflicts in school zones to evaluate the effectiveness of road safety interventions and reduce injuries in Ghana, Vietnam, and Mexico, 2019-2021. Journal of Injury and Violence Research. https://doi.org/10.5249/jivr.v14i3.1710

Xu, Z., & Chen, D. (2022). Detection method for all types of traffic conflicts in work zones. Sustainability. https://doi.org/10.3390/su142114159

Latif, M. (2021). Inservice road safety audit review of Toronto intersections. Ryerson University. https://doi.org/10.32920/ryerson.14649567

Arun, A., Haque, M., Chung, E., Bhaskar, A., Washington, S., & Sayed, T. (2021). A systematic mapping review of surrogate safety assessment using traffic conflict techniques. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2021.106016

Suhadi, I., & Rangkuti, N. M. (2019). Analisa tingkat keselamatan lalu lintas pada persimpangan dengan metode traffic conflict technique (TCT). Journal of Civil Engineering, Building and Transportation. https://doi.org/10.31289/jcebt.v3i2.2701

Yu, J., & Wang, L. (2015). Traffic safety evaluation of urban road intersection based on grey clustering. International Conference on Industrial Technology. https://doi.org/10.2991/icitmi-15.2015.69

Yuan, Y., Yi, A., Wang, Y., & Chen, X. (2021). Research on technical model and method of urban road traffic accident and traffic conflict based on artificial intelligence. 2021 International Conference on Aviation Safety and Information Technology. https://doi.org/10.1145/3510858.3511416

So, J., So, J., Lim, I.-K., Lim, I.-K., Kweon, Y.-J., & Kweon, Y.-J. (2015). Exploring traffic conflict-based surrogate approach for safety assessment of highway facilities. Transportation Research Record. https://doi.org/10.3141/2513-07

Laureshyn, A., de Goede, M., Saunier, N., & Fyhri, A. (2015). Cross-comparison of three surrogate safety methods to diagnose cyclist safety problems at intersections in Norway. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2016.04.035

Published
2024/07/30
Section
Review Paper