Approaching the desired vehicle speed by using a FUZZY logic controller is the goal of this article. It provides a controller that both increases and decreases in velocity. The lead vehicle and the follow vehicle have the same input variables, such as velocity or velocity error, acceleration factor (α), reaction factor (p), and deceleration factor (β), while the bumper-to-bumper gap (Xrel) is not important for the lead vehicle. The relation between inputs and output is discussed. This paper explains a novel approach to the simulation of a congestion system.
Using FUZZY Logic to Control Vehicles' Velocity in Traffic System
2013
6 Seiten, 9 Bilder, 2 Tabellen, 18 Quellen
Aufsatz (Konferenz)
Englisch
Simulationsmodell , Energieverbrauch , Stadtverkehr , Strömungsmodell , Verkehrsfluss , Verkehrswesen , Fahrzeugüberwachung , Transportsystem , Fahrerverhalten , Regelungstechnik , adaptiver Tempomat , Fuzzy-Regelung , Argumentation , Bremssystem , Fuzzy-Regler , Steuerungssystem , Regelungssystem , Regelalgorithmus , Fahrbedingung (Landfahrzeug)
Intelligent Traffic Light Control System Using Fuzzy Logic
Springer Verlag | 2022
|Traffic signal control using fuzzy logic
IEEE | 2015
|Traffic signal control using fuzzy logic
Tema Archiv | 1997
|Intelligent Traffic Lights Control System using Fuzzy Logic
SAE Technical Papers | 2014
|Distributed traffic signal control using fuzzy logic
Tema Archiv | 1992
|