[1] C. Gutierrez-Osorio, C. Pedraza, “Modern data sources and techniques for analysis and forecast of road accidents: A review,” Journal of traffic and transportation engineering, 7 (4), 2020, 432-446.
[2] Vision document of the Islamic Republic of Iran in the horizon of 1404 AH, 2003.
[3] Road Administration and Road Transport Organization, Statistical yearbook, 2006.
[4] M. Haddadi, H. Suri, M. Shakiba, E. Eyni, “Global Road Safety Status Report (2015),” Tehran: Naja Road Research Center, 2015.
[5] M. N. Moosavi, A. Bagheri, M. Moghimi, J. Kiani, “Strategies for organizing and reducing the vulnerability of vital arteries with a crisis management approach (case study: Yazd-Shiraz communication axis,” Journal of Police Geography, 22, 2017, 62-79.
[6] M. Samadian, E. Jafari, “Identifying and prioritizing factors affecting road accidents,” Journal of Police Geography, 27, 2018, 123-142.
[7] M. M. S. Shah, T. L. McCluskey, P. Gregory, F. Jimoh, “Modelling road traffic incident management problems for automated planning,” IFAC Proceedings Volumes, 45 (24), 2012, 360-365.
[8] D. Doagouyan, G. Shiran, M. Amiri, B. Basirat, “Comparison of the two-level pre-crisis management model with international models in the management of traffic crises,” Journal of Rahour Research Studies, 20, 2016, 105-140.
[9] A. Ahmadi, H. A. Taherpour, “Designing a suitable organizational structure for incident command in the road transport network,” Police knowledge Journal, 10, 2017, 161-180.
[10] J. Steenbruggen, P. Nijkamp, J. M. Smits, G. Mohabir, “Traffic incident and disaster management in the Netherlands. Challenges and obstacles in information sharing,” Networks and Communication Studies, 26, 2012, 169-200.
[11] S. F. Rezaea, M. A. Keramat, “What is crisis management and how is it implemented?,” Journal of crisis management and emergency situations, 35 (10), 2017, 139-155.
[12] M. Azizi, A. Azar, M. Dehghan Nayeri, “Applying PANDA decision making strategy in crisis: focusing on the Corona crisis in Iran,” Management Researches in Iran, 24 (3), 2020, 27-49.
[13] S. Amini, N. M. Yaqoubi, “Handing effect of institute inteligence on crisis mangement in Esfahan power cholor factory,” Management Researches in Iran, 20 (4), 2017, 23-44.
[14] M. Karamipour, M. A. Afshar Kazemi, E. Asghari Zadeh, A. Azar, “Routing-locating the blood products supply chain in the event of an earthquake crisis, considering the earthquake magnitude (Richter) (case study: Tehran city),” Modern Researches in Decision Making, 6 (1), 2021, 66-90.
[15] M. Mousavi, H. Ismailzadeh, A. Bagheri Kashkouli, “Crisis management in driving accidents (Case study: yazd city),” Urban Management Studies, 2 (4), 2009, 29-61.
[16] A. Faqihi, G. Memarzadeh. H. Nazifkar, “The model of Iran's road safety promotion with emphasis on safety calture,” Management Researches in Iran, 17 (4), 2014, 161-178.
[17] M. Mahpoor, B. Safarzade, “Prioritization of roads in Tehran province in crisis conditions using network strength index,” Rahvar Scientific Journal, 26 (3), 2013, 11-29.
[18] K. A. Sangeroodi, “Modeling the effective factors in the occurrence of accidents based on road inspection,” Master's thesis in civil engineering, Arian Institute of Higher Education of Science and Technology, 2016.
[19] F. B. Khalili, A. Sheikhaleslami, “An analysis of the research conducted in the field of factors affecting the occurrence of accidents on the roads outside the city,” Rahvar Scientific Journal, 8 (15), 2011, 93-116.
[20] A. Z. Hamedani, M. R. Nafchi, M. R. Barzaki, H. Khosroshahi, “Road transport safety in the country: factor analysis approach,” Production and Operations Management Journal, 2 (13), 2015, 1-20.
[21] I. Makarova, G. Yakupova, P. Buyvol, E. Mukhametdinov, A. Pashkevich, “Association Rules to Identify Factors Affecting Risk and Severity of Road Accidents,” 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020, 614-621.
[22] V. Shanker, F. Mannering, W. Barfield, “Effect of roadway geometrics and environmental factors on rural freeway accident frequencies,” Accident Analysis & Prevention, 27 (3), 1995, 371-389.
[23] M. Sameen, B. Pradhan, “Severity prediction of traffic accidents with recurrent neural networks,” Applied Sciences, 7 (6), 2017, 1-17.
[24] L. Eboli, C. Forciniti, G. Mazzulla, “Factors influencing accident severity: an analysis by road accident type,” Transportation Research Procedia, 47, 2020, 449-456.
[25] M S. S. Torkestani, S. M. Seyedhosseini, A. Makui, K. Shahanaghi, “Designing Sustainable Hierarchical Hub Location Model with Multi-Modes of Transportation in The Presence of Disruption (Intentionally and Unintentionally),” Modern Researches in Decision Making, 3 (1), 2018, 29-56.
[26] P. Fawcett, M. V. Flinders, C. Hay, M. Wood, “Anti-politics، depoliticization، and governance,” Oxford University Press, 2017.
[27] S. Kumar, D. Toshniwal, “Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC),” Journal of Big Data, 3(1), 2016, 1-11.
[28] A. Mohtashami, A. Najafi, M. Amiri, A. Irajpour, “Truck transportation scheduling in multi cross-dock systems with a soft time window with considering to uncertainty in time parameters,” Modern Researches in Decision Making, 4 (4), 2019, 81-125.
[29] B. Jafarzadeh, “Methods to reduce accidents,” The Second Conference of Safe Society in Tehran, 2008, 1-8.
[30] S. Kumar, D. Toshniwal, “Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC),” Journal of Big Data, 3(1), 2016, 1-11.
[31] Q. Shi, M. Abdel-Aty, “Big data applications in real-time traffic operation and safety monitoring and improvement on urban expressways,” Transportation Research Part C: Emerging Technologies, 58, 2015, 380-394.
[32] N. Casado-Sanz, B. Guirao, M. Attard, “Analysis of the risk factors affecting the severity of traffic accidents on Spanish crosstown roads: the driver’s perspective,” Sustainability, 12(6), 2020, 1-26.
[33] A. Renak, D. Leca, V. Cadenat, C. Jauberthie, A. Durand-Petiteville, “Design of an intelligent navigation strategy to deal with unexpected dynamic obstacles,” Brazilian Symposium on Intelligent Automation, 2019, 1-9.