RIDE-SHARING AND SUSTAINABILITY: THE ROLE OF AI IN REDUCING CONGESTION AND EMISSIONS IN CHENNAI

Meena, P and Sujatha, T (2025) RIDE-SHARING AND SUSTAINABILITY: THE ROLE OF AI IN REDUCING CONGESTION AND EMISSIONS IN CHENNAI. In: AI: THE CATALYST IN NURTURING SUSTAINABLE BUSINESS EXCELLENCE AND INNOVATION. 1 ed. 1, 1 (1). S.I.V.E.T. PUBLICATIONS, GOWRIVAKKAM CHENNAI, pp. 479-485. ISBN 978-93-92191-78-7

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Abstract

Rapid urbanization in cities like Chennai has aggravated challenges of traffic congestion and vehicular emissions. Ride-sharing, powered by Artificial Intelligence (AI), offers promising pathways towards more sustainable urban mobility. This study investigates how AI-driven ride
sharing can reduce congestion and emissions in Chennai. Using a primary survey of 100 urban commuters, regression analysis explores the relationships between ride-sharing adoption, traffic congestion, and self-reported emissions reduction. The findings demonstrate the significant potential of AI-optimized ride-sharing platforms in promoting sustainable urban transport.

Item Type:	Book Section
Subjects:	Commerce > Management
Domains:	Commerce
Depositing User:	IR Admin
Last Modified:	04 Jul 2026 10:39
URI:	https://ir.vistas.ac.in/id/eprint/21697

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