Developing A New Model for Assessment of Heavy Vehicle-Pedestrian Collisions

Gezim Hoxha; Mevlan Bixhaku; Ramadan Duraku

doi:10.7250/bjrbe.2023-18.610

Developing A New Model for Assessment of Heavy Vehicle-Pedestrian Collisions

Authors

Gezim Hoxha Department of Traffic and Transport, Faculty of Mechanical Engineering, University of Pristina, Pristina, Kosovo https://orcid.org/0000-0002-0486-7010
Mevlan Bixhaku Akademia Tempulli, Pristina, Kosovo
Ramadan Duraku Department of Traffic and Transport, Faculty of Mechanical Engineering, University of Pristina, Pristina, Kosovo https://orcid.org/0000-0002-0074-2181

DOI:

https://doi.org/10.7250/bjrbe.2023-18.610

Keywords:

heavy vehicles, length of throw, length of pedestrian, neural network, road friction

Abstract

The treatment and analysis of accidents involving heavy transport vehicles and pedestrians include the identification and treatment of a certain number of factors that may differ from the cases of passenger vehicle-pedestrian accidents. The aim of this paper is to develop a new model with better performance for speed estimation and reconstruction of accidents involving heavy vehicles and pedestrians. In a large number of cases during the research, it was observed that the experts used the same models for passenger vehicles as for transport vehicles. Likewise, a number of factors that have an impact on heavy vehicle accidents with pedestrians are not included as factors that have an impact on other accidents. The newly developed model, which has better performance than other models, can help experts in the case of analysis, speed determination, and reconstruction of accidents involving heavy vehicles and pedestrians. The model describes more than 94% of the most influential factors in the model (R²= 0.945). This model will provide a novel way to examine crashes involving heavy vehicles and pedestrians, generating highly precise results for speed calculation which can be used to recreate the technical aspects of the accident. Additionally, it will help specialists in the field when preparing their expert opinion, specifically when heavy vehicles and pedestrians are involved, by providing a model which is different from the standard approach and yields more reliable outcomes.

References

Albayrak, A. S. (2008). Değişen varyans durumunda en küçük kareler tekniğinin alternatifi ağırlıklı regresyon analizi ve bir uygulama. Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 10(2), 111–134.

Geca, A. (2011). Analiza dhe parandalimi i aksidenteve në komunikacionin rrugor. Pjesa II, Universiteti i Prishtines, Prishtine.

Goel, R. (2021). A new model to estimate pedestrian deaths from speed-related interventions. Traffic Injury Prevention, 22(4), 330–335. https://doi.org/10.1080/15389588.2021.1908544

Glass, G. V., Peckham, P. D., & Sanders, J. R. (1972). Consequences of failure to meet assumptions underlying the fixed effects analyses of variance and covariance. Review of Educational Research, 42(3), 237–288. https://doi.org/10.3102/00346543042003237

Happer, A., Araszewski, M., Toor, A., Overgaard, R., & Johal, R. (2000). Comprehensive analysis method for vehicle/pedestrian collisions. SAE Transactions, 1288–1315. https://doi.org/10.4271/2000-01-0846

Hoxha, G., Shala, A., Likaj, R., & Bajrami, XH. (2018). Mathematical model for velocity calculation of three types of vehicles in the case of pedestrian crash. Strojnícky časopis – Journal of Mechanical Engineering, 68(3), 95–110. https://doi.org/10.2478/scjme-2018-0029

Hoxha, G., Fandaj, A., & Bajrami, X. (2023). Quality of automatic traffic volume counting by cameras and impact on the qualitative indicators of traffic. Infrastructures, 8(3), Article 44. https://doi.org/10.3390/infrastructures8030044

Hoxha, G., Shala, A., & Likaj, R. (2017). Vehicle speed determination in case of road accident by software method and comparing of results with the mathematical model. Strojnícky časopis – Journal of Mechanical Engineering, 67(2), 51–60. https://doi.org/10.1515/scjme-2017-0017

Islam, M. (2023). An exploratory analysis of the effects of speed limits on pedestrian injury severities in vehicle-pedestrian crashes. Journal of Transport & Health, 28, Article 101561. https://doi.org/10.1016/j.jth.2022.101561

Kashani, A. T., Jafari, M., & Bondarabadi, M. A. (2021). A new approach in analyzing the accident severity of pedestrian crashes using structural equation modeling. Journal of Injury and Violence Research, 13(1), Article 23. https://doi.org/10.5249/jivr.v13i1.1545

Martínez, F., Páez, J., Furones, A., & Sánchez, S. (2016). Pedestrian-vehicle accidents reconstruction with PC-Crash®: sensibility analysis of factors variation. Transportation Research Procedia, 18, 115–121. https://doi.org/10.1016/j.trpro.2016.12.016

Mohammed, A. A., Ambak, K., Mosa, A. M., & Syamsunur, D. (2019). A review of the traffic accidents and related practices worldwide. The Open Transportation Journal, 13, 65–83. https://doi.org/10.2174/1874447801913010065

Nogayeva, S., Gooch, J., & Frascione, N. (2021). The forensic investigation of vehicle–pedestrian collisions: A review. Science & Justice, 61(2), 112–118. https://doi.org/10.1016/j.scijus.2020.10.006

Richardson, S., Josevski, N., Sandvik, A., Pok, T., Orton, T. L., Winter, B., & Wang, X. (2015). Pedestrian throw distance impact speed contour plots using PC-Crash (SAE Technical Paper, 01-1418). https://doi.org/10.4271/2015-01-1418

Saulić, N., Papić, Z., & Ovcin, Z. (2020). Pedestrian throw distance prediction from vehicle damage intensity. Promet – Traffic & Transportation, 32(3), 371–382. https://doi.org/10.7307/ptt.v32i3.3312

Shen, J., & Jin, X. L. (2007). Reconstruction of pedestrian-vehicle accident using sequential linear programming optimizer. International Journal of Crashworthiness, 12(6), 653–661. https://doi.org/10.1080/13588260701619523

Sheykhfard, A., Haghighi, F., Papadimitriou, E., & Van Gelder, P. (2021). Review and assessment of different perspectives of vehicle-pedestrian conflicts and crashes: Passive and active analysis approaches. Journal of Traffic and Transportation Engineering (English Edition), 8(5), 681–702. https://doi.org/10.1016/j.jtte.2021.08.001

Talaia, P., Toma, M., Hajžman, M., Hynčík, L., & Njilie, F. (2009). A pedestrian model for accident simulation from the crash until full stop. ISB2009, XXII Congress of the International Society of Biomechanics, Cape Town, South Africa. https://doi.org/10.13140/2.1.2565.6328

Wang, J., Li, Z., Zou, D., & Chen, Y. (2022). Reconstruction of a real-world car-to-pedestrian collision using geomatics techniques and numerical simulations. Journal of Forensic and Legal Medicine, 91, Article 102433. https://doi.org/10.1016/j.jflm.2022.102433

Zang, G., Azouigui, S., Saudrais, S., Peyricot, O., & Hébert, M. (2021). Quantitative study of vehicle-pedestrian interactions: Towards pedestrian-adapted lighting communication functions for autonomous vehicles. Electronic Imaging, 2021(17), 172-1–172-7. https://www.researchgate.net/publication/350387456_Quantitative_study_of_vehicle-pedestrian_interactions_Towards_pedestrian-adapted_lighting_communication_functions_for_autonomous_vehicles

Zhang, T., Liu, Y., Rao, Y., Li, X., & Zhao, Q. (2020). Optimal design of building environment with hybrid genetic algorithm, artificial neural network, multivariate regression analysis and fuzzy logic controller. Building and Environment, 175, Article 106810. https://doi.org/10.1016/j.buildenv.2020.106810

Zhu, S. (2022). Analyse vehicle-pedestrian crash severity at intersection with data mining techniques. International Journal of Crashworthiness, 27(5), 1374–1382. https://doi.org/10.1080/13588265.2021.1929002

Developing A New Model for Assessment of Heavy Vehicle-Pedestrian Collisions

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