• Mounashree N S
• Lakshmi M
• Syeada Sufiya Moosa
• Manasa K A
• Afiya Amreen

The transportation landscape is undergoing a revolutionary change with electric vehicles leading the charge toward greener cities. While EVs promise cleaner air and reduced fossil fuel consumption, they present unique challenges for urban areas. City planners face hurdles ranging from upgrading existing infrastructure to balancing power distribution networks. The complexity increases with questions about charging accessibility and the absence of sophisticated monitoring tools. We’ve created a smart system to help manage electric cars in cities. It uses Python Flask (a web tool) and looks at lots of data to solve problems. The system can handle information from 20,000 electric cars and helps city officials make better choices about traffic and power use. By using artificial intelligence and cloud computing, we can predict where traffic might get busy and how much electricity the city will need at different times. Think of it like a very smart traffic control center that also keeps track of how much power all the electric cars are using. City planners can use this information to make sure there are enough charging stations in the right places and that the power grid doesn’t get overloaded when too many people try to charge their cars at once. At its core, the platform weaves together several advanced technologies into a cohesive system. A network of smart sensors collects continuous data streams, while geographic mapping tools provide crucial location-based insights. The traffic management component uses this information to ensure smooth vehicle movement throughout the city. Users receive personalized charging guidance, while the system promotes strategic charging behaviors through various incentives. Built-in safeguards prevent excessive strain on the electrical grid. Looking ahead, this development represents more than just a technological advancement – it’s a stepping stone toward future-ready cities. The system’s flexible design accommodates the growing adoption of electric vehicles while maintaining urban efficiency. For cities aiming to embrace sustainable transportation, this platform offers a comprehensive roadmap that balances environmental concerns with practical operational needs.

Electric Vehicles, Smart City, Traffic Management, Energy Distribution, Python Flask, Machine Learning, Urban Mobility, Sustainability, Renewable Energy, IoT (Internet of Things), Geographic Information Systems (GIS), Real-Time Data Analytics, Charging Stations, Traffic Flow Optimization, Power Grid Management, Off-Peak Charging, Urban Efficiency, Electric Mobility, Data-Driven Decision Making, , Smart Grids, Electric Vehicle Adoption, Future Mobility, Carbon Footprint Reduction, Renewable Energy Integration, EV Charging Network, Smart Transportation Solutions.

"BIG DATA CHALLENGES IN E-MOBILITY SMART CITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.e204-e209, January-2025, Available :http://www.jetir.org/papers/JETIR2501425.pdf

"BIG DATA CHALLENGES IN E-MOBILITY SMART CITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppe204-e209, January-2025, Available at : http://www.jetir.org/papers/JETIR2501425.pdf