Optimizing Urban Travel Time Using Genetic Algorithms for Intelligent Transportation Systems

Urban congestion causes further increases in travel times, fuel consumption and greenhouse-gas emissions. In this regard, we conduct a systematic study of a Genetic Algorithm (GA) for real-time routing in an urban scenario in Bethlehem City, based on a SUMO microsimulation that has been calibrated u...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Suhail Odeh, Murad Al Rajab, Mahmoud Obaid, Rafik Lasri, Djemel Ziou
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-12-01
Schriftenreihe:	AI
Schlagworte:	genetic algorithm intelligent transportation systems urban mobility optimization traffic flow management smart cities
Online-Zugang:	https://www.mdpi.com/2673-2688/6/12/315
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