AI-Based Intelligent Ride Sharing Platform
Abstract
Urban transportation systems are increasingly adopting ride-sharing solutions to reduce traffic congestion and improve mobility. However, traditional ride-sharing platforms face issues such as inefficient driver allocation, surge pricing imbalance, safety concerns, and lack of predictive analytics. This research proposes an AI-based intelligent ride-sharing platform developed as a mobile application using Java for Android, Swift for iOS, and Firebase as the real-time cloud database. The system integrates machine learning algorithms for smart ride matching, dynamic pricing, demand forecasting, and safety monitoring. The proposed solution enhances operational efficiency, reduces waiting time, and improves user satisfaction through intelligent automation and real-time analytics.
Fields of Study & Subjects
Transportation and Mobility Innovations
Traffic Prediction and Management Techniques
Digital Economy and Work Transformation
Publication details
- Journal / source
- International Journal for Research in Applied Science and Engineering Technology
- Volume
- 14
- Issue
- 3
- Pages
- 727–734
- Publication date
- 10 March 2026
- Language
- EN