Powered-Two-Wheelers kinematic characteristics and interactions during filtering and overtaking in urban arterials

• The kinematic parameters and interactions of Powered-Two-Wheelers (PTWs) are studied.
• Trajectory data are collected in urban arterials for filtering and overtaking patterns.
• The factors affecting the PTW interactions in filtering and overtaking are revealed.
• Classical statistical modeling approaches are compared to equivalent neural networks.

The present paper focuses on the Powered-Two-Wheelers (PTWs) kinematic characteristics and their interactions with the rest of traffic in urban arterials. The factors that may affect the likelihood of PTW drivers to accept critical spacing during filtering and overtaking are also investigated using trajectory data collected from video recordings. The distributional characteristics of the PTW kinematic parameters showed that the patterns of filtering and overtaking have several differences. Further results using Logit models show that PTW speed difference with the rest of traffic, spacing, the existence of heavy vehicles and the occurrence of platoon of moving PTWs (in which the leader is the reference PTW) are significant factors related to the probability of driving in critical spaces through traffic. The likelihood of accepting critical lateral distance from the vehicle being overtaken may be related to the adjacent lane spacing, the speed difference and the existence of a platoon of PTWs. A comparative study between Logit models and equivalent structures of neural networks showed that, in the specific application, neural networks were found to perform better than the Logit models in terms of the model’s discrimination power.