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...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2025-12-01
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| シリーズ: | AI |
| 主題: | |
| オンライン・アクセス: | https://www.mdpi.com/2673-2688/6/12/315 |
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