• Chandramouli P
• Gnnanavel S
• Dr. Venkatesan Selvam

The transportation industry has been rapidly evolving over the past few years, with ridesharing and taxi services becoming increasingly popular. To stay competitive, it is important for taxi companies to adopt innovative strategies to attract and retain customers. One approach is to develop a dynamic pricing system that can adjust fares in real-time based on various factors, such as demand, weather, and fuel prices. This project aims to design an intelligent pricing system for taxi rides that can analyse and interpret data related to demand, weather, and fuel prices, and use this information to adjust fares dynamically. The proposed system will incorporate data analytics to optimize pricing. In the proposed system, historical data related to demand, weather, and fuel prices in different areas are collected and analysed. The system will use insights derived from the data analysis to create a formula to adjust fares dynamically in real-time, ensuring that customers are charged a fair price for their ride and drivers are fairly compensated for their services. The proposed system will provide an easy-to-use interface for both customers and drivers, allowing them to view the estimated fare for a particular ride before booking.

dynamic, Insights, weather, demand, fuel

"Dynamic Pricing for taxi fares based on demand, weather and fuel price", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.h341-h344, May-2023, Available :http://www.jetir.org/papers/JETIR2305738.pdf

"Dynamic Pricing for taxi fares based on demand, weather and fuel price", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pph341-h344, May-2023, Available at : http://www.jetir.org/papers/JETIR2305738.pdf