-عریضی، حمیدرضا و حقایق، سیدعباس (1388)، ویژگیهای روان سنجی پرسشنامه رفتار رانندگی منچستر، فصلنامه پایش، سال نهم، شماره اول، زمستان، 28-21.
-Aldhari.I, Almoshaogeh.M, Jamal.A, Alharbi.F, Alinizzi.M, and Haider.H, 2023, Severity Prediction of Highway Crashes in Saudi Arabia Using Machine Learning Techniques, Journal of Applied Science, Vol.13, No.1. doi.org/10.3390/app13010233
-Ansar, M.S, Ma. Y, Chen. S, Tang. K, and Zhang. Z, (2021). Investigating the trip configured causal effect of distracted driving on aggressive driving behavior for e-hailing taxi drivers, Journal of Traffic Transportation Engineering, Vol.8, No.5, 725–734.
-Baltazar Reyes, G.E, Ponce. P, Castellanos. S, Galve Hernandez. j.a, Sierra Cruz. U, Mac Daniel. T, and Molina. A., (2021). Driver’s personality and behavior for boosting automobile security and sensing health problems through fuzzy signal detection case study: Mexico City, Sensors, Vol.21, No.21. doi.org/10.3390/s21217350
-Carney. C, Harland, K.K, and McGehee, DV, (2016). Using event-triggered naturalistic data to examine the prevalence of teen driver distractions in rear-end crashes. Journal of Safety Research, Vol.57, 47-52.
-Charoniti.E, Klunder.G, and Meeuwissen.M, (2024). A Multi-Level Framework for Traffic Safety Assessment under Automated Driving Functionalities: The Need and Outline of a Holistic Approach, International Journal of Automotive Engineering, Vol.15, No.1, 27–35. doi.org/10.20485/JSAEIJAE.15.1_27
-Chen.L, Li.Y, Huang.C, Li.B, Xing.Y, Tian.D, Li.L, Hu.Z, Na.X, Li.Z, Teng.S, Lv.C, Wang.L, Cao.D, Zheng.N, and Wang.F.Y, (2023). Milestones in autonomous driving and intelligent vehicles: Survey of surveys, IEEE Transactions on Intelligent Vehicles, Vol.8, No.2, 1046–1056.
-Cuentas-Hernandez, S, Li.X, King, M.J, Lewis, l, Oviedo-Trespalacios, O, (2024). Driven to distraction: A systematic literature review on the role of the driving context in mobile phone use, Transportation Research Part F: Traffic Psychology and Behaviour, Vol.106, 215-243. ISSN.
1369-8478. doi.org/10.1016/j.trf.2024.08.006
-Feng, J, Marulanda, S, and Donmez, B, (2014). Susceptibility to driver distraction questionnaire: Development and relation to relevant self-reported measures. Transportation Research Record, Vol.2434, No.1, 26-34.
-Geng, J, Yu, J, and Zhu, J, (2024). A comparative analysis of distracted driving behavior among drivers of different income levels: A case study in Huainan, China, Heliyon, Vol.10, No.7, e28668. doi.org/10.1016/j.heliyon.2024.e28668
-Haley, J.B, O’Donald, M, O’Malley.L. Metzger, K.B, Knutson, M, Kramer, K. Chamberlain, R, Seifert, S, Curry, A.E, (2025). A novel technological approach to preventing distracted driving, Journal of Safety Research, Vol.93, 24-30, ISSN.0022-4375. doi.org/10.1016/j.jsr.2025.02.003
-Haque, MM, and Washington, S. (2015). The impact of mobile phone distraction on the braking behaviour of young drivers: a hazard-based duration model, Transportation Research Part C: Emerging Technologies, Vol.50, 13-27. doi.org/10.1016/j.trc.2014.07.011
-Hill, L, Baird, S, Torres, K, Obrochta, C. and Jain, P, (2021). A survey of distracted driving and electronic device use among app-based and taxi drivers, Journal of Traffic injury prevention, Vol.22, S27–S31. doi.org/10.1080/15389588.2021.1935905
-Hoang Le. N.Y, Zheng, C, Zhu.CH, Luu.K, and Savvides, M. (2016). Multiple scale faster-rcnn approach to driver’s cell-phone usage and hands on steering wheel detection workshops, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 46– 53.
-Hossain, X. Sun, X, Islam, S, Alam, S, and Mahmud, M.H, (2023). Identifying roadway departure crash patterns on rural two-lane highways under different lighting conditions: Association knowledge using data mining approach, Journal of Safety Research, Vol.85, 52–65. doi.org/10.1016/j.jsr.2023.01.006
-Huth, V, Sanchez, Y, and Brusque, C, (2015). Driver’s phone use at red traffic lights: A roadside observation study comparing calls and visual–manual interactions. Accident Analysis & Prevention, Vol.74, 42-48. doi.org/10.1016/j.aap.2014.10.008
-Islam, M, and Shirani, N. (2025). Investigating the factors behind cellphone-distracted crashes: Assessing injury severity among distracted drivers in states with and without cell phone bans, Journal of Safety Research, Vol.92, 192-206, ISSN 0022-4375. doi.org/10.1016/j.jsr.2024.11.004
-Kujala, T, Grahn, H, Mäkelä, J, Silvennoinen, j. and Tokkonen, T, (2024). Effects of context-sensitive distraction warnings on drivers’ smartphone use and acceptance: A long-term naturalistic field study, International Journal of Human Computer Studies, Vol.186, No.103247, doi.org/10.1016/j.ijhcs.2024.103247
-Michon, J.A, (1985). A Critical View of Driver Behavior Models: What Do We Know, What Should We Do? In: Evans, L., Schwing, R.C. (eds), Human Behavior and Traffic Safety. Springer, Boston, MA. doi.org/10.1007/978-1-4613-2173-6_19
-Mohammed, O. and Khudhair, H.A, (2025). Understanding the Impact of Driver Behavior on Traffic Safety: A Comprehensive Review of Behavioral, Technological, and Environmental Factors, Rafidain Journal of Engineering Sciences, Vol.3, No.1, 626–642. doi.org/10.61268/8mb3nc73
-Nazneen.S, Farid.A, and Ksaibati.Kh, 2023, Impact of drivers' attributes on children injury severities in traffic crashes, Journal of Traffic and Transportation Engineering (English Edition), Vol.10, Issue.4, ISSN 2095-7564, 647-658, doi.org/10.1016/j.jtte.2022.08.004
-Qamar, M, Hussain, A, Asif Khan, M, Habib, M.F, and Khattak, A, (2024). An exploratory analysis of factors leading to prevalence of distracted driving behavior in Pakistan, Case Studies on Transport Policy, Vol.17, 101257, ISSN 2213-624X. doi.org/10.1016/j.cstp.2024.101257
-Seshadri, K. Juefei-Xu.F, Pal.D.K, Savvides, M. and Thor.C.P. (2015). Driver cell phone usage detection on strategic highway research program (shrp2) face view videos Workshops, 35–43.
-Schroeder, P, Meyers, M, and Kostyniuk, L. (2013). National survey on distracted driving attitudes and behaviors–2012. Report No. DOT HS 811 729, National Highway Traffic Safety Administration, Washington, DC. doi.org/10.21949/1525738
-Shahin, F. Elias, W. and Toledo, T. (2023). Drivers’ perception of highway work zone risks, Transportation Engineering, Vol.14, No.100213. doi.org/10.1016/j.treng.2023.100213
-Sohail, A. Cheema, M.A, Ali, M.E. Toosi, A.N, Rakha.H.A, (2023). Data-driven approaches for road safety: A comprehensive systematic literature review, Safety Science, Vol.158, 105949, ISSN.0925-7535. doi.org/10.1016/j.ssci.2022.105949
-Thapa, Pramila and Rijal, Alisha and Sharma, Prakash and Tsirkas, Panagiotis and Valamontes, Antonios and Adamopoulos, Ioannis Pantelis, (2023). Impact of Mobile Phone Use on Distracted Driving and the Moderating Role of Self-Regulatory Skills. dx.doi.org/10.2139/ssrn.5153556
-Teng, S. Hu, X. Deng, P, Li, B, Li, Y, Ai, Y. Yang, D. Li, L. Xuanyuan, Z. Zhu, F. and Chen, L. (2023). Motion planning for autonomous driving: The state of the art and future perspectives, IEEE Transactions on Intelligent Vehicles, Vol. 8, No.6, 3692–3711.
-Wang,
X. and
Qin,
H. (2025).
Impact of Combined Cognitive and Visual Distraction Level on Driving Behavior in Different Traffic Environments,
International Journal Automotive Technology. doi.org/10.1007/s12239-025-00220-0
-Wang, Z and Yao, l, (2024). Recognition of Distracted Driving Behavior Based on Improved Bi-LSTM Model and Attention Mechanism, in IEEE Access, Vol.12, 67711-67725, doi.org/10.1109/ACCESS.2024.3399789
-Wang, J, Li, K, Lu, X.Y, (2014). Chapter 5 - Effect of Human Factors on Driver Behavior, Editor(s): Yaobin Chen, Lingxi Li, Advances in Intelligent Vehicles, Academic Press, 111-157. ISBN 9780123971999. doi.org/10.1016/B978-0-12-397199-9.00005-7
-Xue, Q. Wang, X, Li, Y, and Guo, W. (2023). Young Novice Drivers’ Cognitive Distraction Detection: Comparing Support Vector Machines and Random Forest Model of Vehicle Control Behavior, Sensors, Vol.23, No.3. doi.org/10.3390/s23031345
