Cellular Automata for Optimization of Traffic Emission and Flow Dynamics in Two-Route Systems Using Feedback Information

Cellular Automata for Optimization of Traffic Emission and Flow Dynamics in Two-Route Systems Using Feedback Information

Managing emissions and congestion in urban transportation systems is a growing challenge, particularly when traffic dynamics are influenced by real-time conditions and infrastructure constraints. This study addresses this issue by proposing a cellular automata-based model to analyze traffic emission...

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Bibliographic Details
Main Authors: Rachid Marzoug, Noureddine Lakouari, José Roberto Pérez Cruz, Beatriz Castillo-Téllez, Gerardo Alberto Mejía-Pérez, Omar Bamaarouf
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Infrastructures
Subjects:
cellular automata
CO<sub>2</sub> emissions
information feedback strategy
lane-changing
two-route system
traffic lights
Online Access:https://www.mdpi.com/2412-3811/10/5/120
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