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Found 5 papers, 0 papers with code
Truck Parking Usage Prediction with Decomposed Graph Neural Networks
The proposed model allows truck parking sites' percipience of the topological structures and provides higher performance.
A Generic Stochastic Hybrid Car-following Model Based on Approximate Bayesian Computation
However, the CF behavior of human drivers is highly stochastic and nonlinear.
Learning Driver Models for Automated Vehicles via Knowledge Sharing and Personalization
This paper describes a framework for learning Automated Vehicles (AVs) driver models via knowledge sharing between vehicles and personalization.
Bayesian Methods in Automated Vehicle's Car-following Uncertainties: Enabling Strategic Decision Making
This paper proposes a methodology to estimate uncertainty in automated vehicle (AV) dynamics in real time via Bayesian inference.
Predicting Vehicles' Longitudinal Trajectories and Lane Changes on Highway On-Ramps
Vehicles on highway on-ramps are one of the leading contributors to congestion.
