This study aims to utilize the machine learning approach with the optimization technique that could be used to fine-tune the weights/ parameters of a neural ...
Jamming transition in traffic flow refers to the sudden transition from a free-flowing state to a jammed state as the traffic density increases.
Supervised machine learning for jamming transition in traffic flow with fluctuations in acceleration and braking. NA Khan, G Laouini, FS Alshammari, M Khalid ...
Supervised machine learning for jamming transition in traffic flow with fluctuations in acceleration and braking · Author Picture Naveed Ahmad Khan,; Author ...
This paper applies two powerful analytical approximation methods to the jamming transition problem (JTP) of traffic flow networks.
Apr 16, 2024 · Some possible applications of machine learning algorithms include the transition of disturbances due to changes in braking and acceleration in ...
In this study, the jamming transition is presented as a result of spontaneous deviations of headway and velocity that is caused by the acceleration/breaking ...
We study a model for freeway traffic which includes strong noise taking into account the fluctuations of individual driving behavior.
2023. Supervised machine learning for jamming transition in traffic flow with fluctuations in acceleration and braking. NA Khan, G Laouini, FS Alshammari, M ...
Jul 23, 2021 · We show analytically and numerically that the individual difference helps to inhibit the traffic jam at high vehicle densities while it promotes ...
Missing: Supervised machine learning acceleration braking.