Evaluating overtaking and filtering maneuver of motorcyclists and car drivers using advanced trajectory data analysis

Int J Inj Contr Saf Promot. 2023 Jun 21:1-17. doi: 10.1080/17457300.2023.2225162. Online ahead of print.ABSTRACTThe present paper compares motorized two-wheeler (MTW) and passenger car's interactions with the rest of the traffic in urban roads while performing overtaking and filtering maneuvers. To better understand filtering maneuvers of motorcyclists and car drivers, an attempt was made to propose a new measure, i.e. pore size ratio. Additionally, the factors affecting lateral width acceptance for motorcyclists and car drivers while overtaking and filtering were studied using advanced trajectory data. A regression model was developed to predict the significant factors affecting motorcyclist's and car driver's decisions to accept lateral width with the adjacent vehicle while performing overtaking and filtering maneuvers. Finally, a comparative analysis between machine learning and the probit model revealed that, in the present case, machine learning models perform better than the probit model in terms of the model's discernment power. The findings of this study will help ameliorate the power of existing microsimulation tools.PMID:37343167 | DOI:10.1080/17457300.2023.2225162

Source: International Journal of Injury Control and Safety Promotion - June 21, 2023 Category: Accident Prevention Authors: Harish Kumar Saini Shivam Singh Chouhan Ankit Kathuria Ashoke Kumar Sarkar Source Type: research