Authors: Assistant Professor Manisha Wasnik, Prajwal Sharma, Karan Ranpise, Purvi Garvir, Aryan Poddar
Abstract: This paper explores the conceptualization, development, and anticipated impact of an innovative integrated ride-hailing application designed to seamlessly connect with Ola, Uber and Rapido through their respective APIs. The core objective of this research is to address the inefficiencies and user dissatisfaction caused by the need to switch between multiple ride-hailing platforms to compare real-time fares and estimated arrival times. By aggregating data from Ola, Uber and Rapido within a single, unified interface, the proposed solution eliminates the hassle of time-consuming searches, thereby streamlining the ride selection process and enhancing user convenience.The study employs a comprehensive mixed-methods approach, incorporating a detailed technical analysis of API integration, system architecture design, and user experience assessments conducted through simulations and surveys. The findings demonstrate that this integrated platform significantly improves search efficiency, enhances user satisfaction, and offers broader implications for urban mobility by optimizing resource allocation within the ride-sharing industry. The significance of this research lies in its potential to revolutionize the ride-hailing ecosystem, paving the way for a more efficient, user-centric, and technology-driven transportation landscape.
