One-parametric bifurcation analysis of data-driven car-following models
Sign Up to like & getrecommendations! Published in 2021 at "Physica D: Nonlinear Phenomena"
DOI: 10.1016/j.physd.2021.133016
Abstract: Abstract In this study, an equation-free method is used to perform bifurcation analyses of various artificial neural network (ANN) based car-following models. The ANN models were trained on Multiple Car Following (MCF) model output data… read more here.
Keywords: ann model; model; car following; bifurcation ... See more keywords
Evaluating performance of selected vehicle following models using trajectory data under mixed traffic conditions
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Intelligent Transportation Systems"
DOI: 10.1080/15472450.2019.1675522
Abstract: Abstract This research work is focused on modeling vehicle following behavior under mixed traffic conditions. Vehicle-following behavior can be potentially utilized in building real-time drivers’ assistance systems or identifying collision escaping time thresholds for varying… read more here.
Keywords: traffic; vehicle; vehicle following; following behavior ... See more keywords
Fault Tolerance Analysis of Car-Following Models for Autonomous Vehicles
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3201051
Abstract: Microscopic car-following models can be applied in Autonomous Vehicles (AVs) to control the real-time longitudinal interactions among individual vehicles. Moreover, they can have a vital role in Advanced Vehicle Control and Safety Systems (AVCSSs) such… read more here.
Keywords: autonomous vehicles; safety; following models; car following ... See more keywords