Research Article | | Peer-Reviewed

Safety Evaluation of Selected Intersections Using Historical Crash Data and Surrogate Traffic Conflict Measures - the Case of Yeka Sub City Addis Ababa

Received: 23 July 2026     Accepted: 5 August 2026     Published: 24 August 2026
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Abstract

Urban intersections are critical locations in road network where vehicular traffic and pedestrians interact. It results in substandard safety performance due to geometric deficiencies. Traditional safety evaluations depend on historical records solely which suffers systematic under reporting and provide are active frame work. This study used a reactive proactive approach by integrating historical crash data analysis with microscopic traffic simulations and surrogate safety measures (SSMs) to evaluate five high risk intersections in Yeka sub city Addis Ababa. Kotebe K/mihret, kotebe Zero hulet, Kotebe College, Abem and Kara junctions. Intersections were screened and prioritized using the equivalent property damage only (EPDO) scoring method. A microscopic simulation was developed using SUMO and trajectories were analyzed using the surrogate safety assessment model (SSAM) to capture time to collision (TTC) and post encroachment time (PET). Based on identified deficiencies engineering interventions are proposed following AACRA, ERA and AASHTO design standards. The post redesign SSAM evaluation revealed a 36.9% overall reduction in total traffic conflicts. This confirmed that integrating historical crashes with proactive surrogate measures creates a more robust framework for urban traffic safety management. This study concluded that for evaluating urban intersection safety, integrating historical crash analysis with surrogate conflict measures provide more comprehensive and reliable frame work than relying on historical crash records solely.

Published in American Journal of Traffic and Transportation Engineering (Volume 11, Issue 4)
DOI 10.11648/j.ajtte.20261104.12
Page(s) 67-74
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Traffic Safety, Crash Data Analysis, Crash Severity, SUMO-SSAM Simulation, Traffic Conflict Analysis, Surrogate Safety Measures

References
[1] American Association of State Highway and Transportation Officials (AASHTO). (2018). A Policy on Geometric Design of Highways and Streets (7th ed.). Washington, DC.
[2] ERA Geometric Design Manual 2013, 11-8.
[3] GRSF Annual Report 2025 LR WORLD BANK, 4-5.
[4] Addis Ababa Road Safety Report, 2023-24, 6-8.
[5] Sharafeldin, M., Ksaibati, K., & Gerow, K. (2023). Frequency Analysis of Equivalent Property-Damage-Only (EPDO) Crashes at Intersections. Eng, 4(2), 1116–1126.
[6] Vasconcelos, L., Neto, L., Seco, Á. M., & Silva, A. B. (2014). Validation of the Surrogate Safety Assessment Model for Assessment of Intersection Safety. Transportation Research Record: Journal of the Transportation Research Board, 2432(1), 1-9.
[7] Yang, D., Xie, K., Ozbay, K., & Yang, H. (2021). Fusing crash data and surrogate safety measures for safety assessment: Development of a structural equation model with conditional autoregressive spatial effect and random parameters. Accident Analysis & Prevention, 152, 105971.
[8] Zheng, L., Sayed, T., & Mannering, F. (2021). Modeling traffic conflicts for use in road safety analysis: A review of analytic methods and future directions.
[9] WHO, 2023; Sub-Saharan Africa Transport Policy Program [SSATP], 2021).
[10] Mahmud, S. M. S., Ferreira, L., Hoque, Md. S., & Tavassoli, A. (2018). Surrogate Measures for Traffic Safety Evaluation in Developing Countries: An Application Toward Sustainable Safety. Advances in Civil Engineering Materials, 7(3), 377–395.
[11] Shangguan, Q., Keung, J., Fu, L., Samara, L., Wang, J., & Fu, T. (2024). Do Traffic Countermeasures Improve the Safety of Vulnerable Road Users at Signalized Intersections? A Combination of Case-Control and Cross-Sectional Studies Using Video-Based Traffic Conflicts. Transportation Research Record: Journal of the Transportation Research Board, 2678(1), 806–819.
[12] Federal Highway Administration 3.0 solution.
[13] Astarita, V., Festa, D. C., Giofrè, V. P., & Guido, G. (2019). Surrogate safety measures from traffic simulation models a comparison of different models for intersection safety evaluation. Transportation research procedia, 37, 219-226.
[14] Tulu, G. S., Lisinge, R. T., & Wedajo, B. T. (2022). Heavy vehicle crashes in Addis Ababa: Relationship between contributing factors and severity of outcomes. Journal of Sustainable Development of Transport and Logistics, 7(2), 25–40.
[15] Iqbal, A., Rehman, Z. u., Ali, S., Ullah, K., & Ghani, U. (2020). Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway. Civil Engineering Journal, 6(12), 2448-2456.
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  • APA Style

    Zemene, E. (2026). Safety Evaluation of Selected Intersections Using Historical Crash Data and Surrogate Traffic Conflict Measures - the Case of Yeka Sub City Addis Ababa. American Journal of Traffic and Transportation Engineering, 11(4), 67-74. https://doi.org/10.11648/j.ajtte.20261104.12

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    ACS Style

    Zemene, E. Safety Evaluation of Selected Intersections Using Historical Crash Data and Surrogate Traffic Conflict Measures - the Case of Yeka Sub City Addis Ababa. Am. J. Traffic Transp. Eng. 2026, 11(4), 67-74. doi: 10.11648/j.ajtte.20261104.12

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    AMA Style

    Zemene E. Safety Evaluation of Selected Intersections Using Historical Crash Data and Surrogate Traffic Conflict Measures - the Case of Yeka Sub City Addis Ababa. Am J Traffic Transp Eng. 2026;11(4):67-74. doi: 10.11648/j.ajtte.20261104.12

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  • @article{10.11648/j.ajtte.20261104.12,
      author = {Endalkachew Zemene},
      title = {Safety Evaluation of Selected Intersections Using Historical Crash Data and Surrogate Traffic Conflict Measures - the Case of Yeka Sub City Addis Ababa},
      journal = {American Journal of Traffic and Transportation Engineering},
      volume = {11},
      number = {4},
      pages = {67-74},
      doi = {10.11648/j.ajtte.20261104.12},
      url = {https://doi.org/10.11648/j.ajtte.20261104.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20261104.12},
      abstract = {Urban intersections are critical locations in road network where vehicular traffic and pedestrians interact. It results in substandard safety performance due to geometric deficiencies. Traditional safety evaluations depend on historical records solely which suffers systematic under reporting and provide are active frame work. This study used a reactive proactive approach by integrating historical crash data analysis with microscopic traffic simulations and surrogate safety measures (SSMs) to evaluate five high risk intersections in Yeka sub city Addis Ababa. Kotebe K/mihret, kotebe Zero hulet, Kotebe College, Abem and Kara junctions. Intersections were screened and prioritized using the equivalent property damage only (EPDO) scoring method. A microscopic simulation was developed using SUMO and trajectories were analyzed using the surrogate safety assessment model (SSAM) to capture time to collision (TTC) and post encroachment time (PET). Based on identified deficiencies engineering interventions are proposed following AACRA, ERA and AASHTO design standards. The post redesign SSAM evaluation revealed a 36.9% overall reduction in total traffic conflicts. This confirmed that integrating historical crashes with proactive surrogate measures creates a more robust framework for urban traffic safety management. This study concluded that for evaluating urban intersection safety, integrating historical crash analysis with surrogate conflict measures provide more comprehensive and reliable frame work than relying on historical crash records solely.},
     year = {2026}
    }
    

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    JF  - American Journal of Traffic and Transportation Engineering
    JO  - American Journal of Traffic and Transportation Engineering
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    AB  - Urban intersections are critical locations in road network where vehicular traffic and pedestrians interact. It results in substandard safety performance due to geometric deficiencies. Traditional safety evaluations depend on historical records solely which suffers systematic under reporting and provide are active frame work. This study used a reactive proactive approach by integrating historical crash data analysis with microscopic traffic simulations and surrogate safety measures (SSMs) to evaluate five high risk intersections in Yeka sub city Addis Ababa. Kotebe K/mihret, kotebe Zero hulet, Kotebe College, Abem and Kara junctions. Intersections were screened and prioritized using the equivalent property damage only (EPDO) scoring method. A microscopic simulation was developed using SUMO and trajectories were analyzed using the surrogate safety assessment model (SSAM) to capture time to collision (TTC) and post encroachment time (PET). Based on identified deficiencies engineering interventions are proposed following AACRA, ERA and AASHTO design standards. The post redesign SSAM evaluation revealed a 36.9% overall reduction in total traffic conflicts. This confirmed that integrating historical crashes with proactive surrogate measures creates a more robust framework for urban traffic safety management. This study concluded that for evaluating urban intersection safety, integrating historical crash analysis with surrogate conflict measures provide more comprehensive and reliable frame work than relying on historical crash records solely.
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