Deep Reinforcement Learning for Sustainable Urban Mobility: A Bibliometric and Empirical Review.

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Bibliographic Details
Title: Deep Reinforcement Learning for Sustainable Urban Mobility: A Bibliometric and Empirical Review.
Authors: Jamal S; Department of Computer Science, School of Engineering Science and Technology, Jamia Hamdard, New Delhi 110062, India., Siddiqui F; Department of Computer Science, School of Engineering Science and Technology, Jamia Hamdard, New Delhi 110062, India., Alam MA; Department of Computer Science, School of Engineering Science and Technology, Jamia Hamdard, New Delhi 110062, India., Ayman-Mursaleen M; Department of Mathematics, Faculty of Science, University of Ostrava, Mlýnská 702/5, 702 00 Ostrava, Czech Republic., Zafar S; Department of Computer Science, School of Engineering Science and Technology, Jamia Hamdard, New Delhi 110062, India., Naaz S; Department of Computer Science, School of Computing, Engineering and the Built Environment, University of Roehampton, London SW15 5PJ, UK.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Jan 06; Vol. 26 (2). Date of Electronic Publication: 2026 Jan 06.
Publication Type: Journal Article; Review
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:1424-8220
DOI:10.3390/s26020376