Fare Comparison App of Uber, Ola and Rapido
Ashlesha Gopinath Sawant, Sahil S. Jadhav, Vidhan R. Jain, Shriraj S. Jagtap, Prachi Jadhav, Soham Jadhav, Ichha Raina

TL;DR
This paper presents a web application that compares fares of Ola, Uber, and Rapido to help users choose the most cost-effective and efficient ride, addressing data access challenges and enhancing user experience.
Contribution
The paper introduces a fare comparison tool integrating multiple ride-hailing services, overcoming data access challenges, and improving transparency and decision-making for users.
Findings
Provides real-time fare comparison for Ola, Uber, and Rapido
Addresses API data access challenges and solutions
Enhances user experience with transparent ride options
Abstract
In todays increasing world, it is very important to have good hailing services like Ola, Uber, and Rapido as it is very essential for our daily transportation. Users often face difficulties in choosing the most appropriate and efficient ride that would lead to both cost-effective and would take us to our destination in less time. This project provides you with the web application that helps you to select the most beneficial ride for you by providing users with the fare comparison between Ola, Uber, Rapido for the destination entered by the user. The backend is use to fetch the data, providing users with the fare comparison for the ride and finally providing with the best option using Python. This research paper also addresses the problem and challenges faced in accessing the data using APIs, Android Studios emulator, Appium and location comparison. Thus, the aim of the project is to…
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Taxonomy
TopicsTransportation and Mobility Innovations · IoT and GPS-based Vehicle Safety Systems · Smart Parking Systems Research
