Customizing the following behavior models to mimic the weak lane based mixed traffic conditions

Abstract

This study aims to model traffic flow under weak lane based heterogonous (mixed) traffic conditions. Unlike homogeneous traffic, when a follower (subject) vehicle in mixed traffic moves closer to its leader vehicle, it tends to adjust its longitudinal movement or change its lane and acts discretely. Due to this phenomenon, traffic flow modeling under such conditions is always challenging. A new driver behavioral logic is conceptualized for the vehicles' movement within a combination of surrounding vehicles. In which the following behavior was dissected with the lateral shift distance between vehicles. Two car-following models for homogeneous traffic conditions, the IDM and Gipps models were adapted with relevant lateral behavior parameters to different vehicle classes under mixed-traffic conditions. The new driving behavior logic was incorporated externally in place of default logic. The results showed that the performance of the adapted models was better accurate than the classical models.

Road Intersection Coordination Scheme for Mixed Traffic (Human-Driven and Driverless Vehicles): A Systematic Review

“…ere appears to be a wide range of adoptable microscopic simulation models for lane-following homogeneous traffic based on the current literature [77]. Gipp's car-following model's unidirectional (longitudinal) interaction is not suitable for two-dimensional mixed traffic modelling.…”

Lane Choice Behavior at Toll Plaza Under Mixed Traffic Conditions Using TODIM Method: A Case Study

“…Various car-following models, such as Gipps Model, Pipes Model, etc. [ 74 ], were developed in the past and are widely used for developing scenarios. However, the lane choice models were not well explored in the literature for the driving simulator and simulation studies [ 75 ], and hence, this study can fill the available gap, and such lane choice module may be provided in the driving simulator or in the simulation studies.…”