ABSTRACT
Electric vehicle (EV) adoption is accelerating, necessitating an intelligent support system for
sustainable urban travel. Building intelligent transportation systems (ITS), improving traffic
management, and improving EV performance all heavily rely on artificial intelligence (AI).
With 200 respondents, the Ludhiana district serves as the main data source for this study,
which investigates the incorporation of AI technology in EV systems. The study assesses user
experiences, obstacles encountered, adoption of AI features, and the general effect of AI on
environmentally friendly transportation. User satisfaction and AI accessibility (such smart
navigation, predictive maintenance, and battery range optimization) are significantly
correlated, according to statistical study that includes regression modeling and descriptive
statistics. The findings showed that about 70% of Ludhiana EV users cited the absence of AIdriven smart charging infrastructure, while 60% of them embraced AI-based smart
navigation, indicating great technology acceptance. Future market potential is shown by the
fact that more than 65% of respondents indicated interest in sophisticated AI services. AI
characteristics and user pleasure were shown to be strongly positively correlated, according
to regression results (R2 = 0.581). Real-time traffic predictions, however, were deemed
untrustworthy by 55% of users, indicating the necessity for the creation of localized AI
models. The paper concludes with recommendations for strategic AI integration to achieve
sustainable and intelligent urban mobility in Ludhiana district.
Keywords: Artificial Intelligence, Electric Vehicles, Intelligent Transportation Systems,
Sustainable Mobility, Ludhiana, Smart Charging, Urban Transport