<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Car-motorcycle accidents have been reported higher in recent years in Hungary due to increasing number of motorbikes on road. Car-motorcycle collisions mostly lead to fatal and seriously injured accidents mainly due to the vulnerability of motorcyclists and other related factors. The crash investigation studies aim to analyze the main contributing factors that cause fatal road accidents and injury outcomes. The main goal of this study is to evaluate and compare the contributing factors to car-motorcycle accidents in Budapest city by using a microsimulation tool. The procedure utilized the statistical analysis and data sampling to categorize car-motorcycle accidents by dominant accident types based on collision configurations. The police report is used as a data source for designated accidents and simulation models are plotted according to scale (M 1:200). The simulation crash study results observed the main contributing factors to car-motorcycle accidents such as driver behavior, rider behavior and view obstruction. The comprehensive in-depth investigation also found that most of the car drivers and riders could not perform collision avoidance manoeuvres before the collision. This study can help the traffic safety authorities to solve road safety issues by considering the main contributing factors to car-motorcycle collisions. The study also proposes safety measures to avoid car-motorcycle accidents in future.</p></abstract>

Car-motorcycle accidents have been reported higher in recent years in Hungary due to increasing number of motorbikes on road. Car-motorcycle collisions mostly lead to fatal and seriously injured accidents mainly due to the vulnerability of motorcyclists and other related factors. The crash investigation studies aim to analyze the main contributing factors that cause fatal road accidents and injury outcomes. The main goal of this study is to evaluate and compare the contributing factors to car-motorcycle accidents in Budapest city by using a microsimulation tool. The procedure utilized the statistical analysis and data sampling to categorize car-motorcycle accidents by dominant accident types based on collision configurations. The police report is used as a data source for designated accidents and simulation models are plotted according to scale (M 1:200). The simulation crash study results observed the main contributing factors to car-motorcycle accidents such as driver behavior, rider behavior and view obstruction. The comprehensive in-depth investigation also found that most of the car drivers and riders could not perform collision avoidance manoeuvres before the collision. This study can help the traffic safety authorities to solve road safety issues by considering the main contributing factors to car-motorcycle collisions. The study also proposes safety measures to avoid car-motorcycle accidents in future.

In-Depth Investigation of Contributing Factors to Car-Motorcycle Accidents in Budapest City

Department of Transport Technology and Economics

Budapest University of Technology and Economics

Romanian Journal of Transport Infrastructure

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Car-motorcycle accidents have been reported higher in recent years in Hungary due to increasing number of motorbikes on road. Car-motorcycle collisions mostly...

In-Depth Investigation of Contributing Factors to Car-Motorcycle Accidents in Budapest City

Online veröffentlicht: 05. Juni 2020

Seitenbereich: 30 - 43

DOI: https://doi.org/10.2478/rjti-2019-0009

Schlüsselwörter
Car-motorcycle accidents, accident types, contributing factors, in-depth investigation, accident reconstruction

© 2019 Danish Farooq et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

In-Depth Investigation of Contributing Factors to Car-Motorcycle Accidents in Budapest City

Online veröffentlicht: 05. Juni 2020

Seitenbereich: 30 - 43

DOI: https://doi.org/10.2478/rjti-2019-0009

SchlüsselwörterCar-motorcycle accidents, accident types, contributing factors, in-depth investigation, accident reconstruction

© 2019 Danish Farooq et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Car-motorcycle accidents, accident types, contributing factors, in-depth investigation, accident reconstruction