Decentralized graph attention multi-agent reinforcement learning for adaptive urban traffic routing

Abstract Urban traffic congestion incurs high economic and environmental costs, including fuel wastage, increased greenhouse gas emissions, and driver frustration. Current genetic algorithm-based traffic routing systems do not adapt when real-time conditions deviate from their offline optimization a...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Muhammad Mahmoud, Souham Meshoul, Mohamed Batouche, Mohamed Hammad
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Nature Portfolio 2026-06-01
سلاسل:	Scientific Reports
الموضوعات:	Multi-agent reinforcement learning Graph attention networks Traffic routing Intelligent transportation systems Decentralized control
الوصول للمادة أونلاين:	https://doi.org/10.1038/s41598-026-56204-2
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!