SafeRoute: Pioneering Online Ride Booking with Pega & ML-Powered Safety Measures
The advent of online ride booking services has revolutionized the transportation industry, providing users with convenient and efficient means of commuting. However, ensuring the safety of passengers and drivers remains a paramount concern. This project introduces an innovative solution that leverages Pega, a leading business process management platform, coupled with machine learning algorithms to enhance the safety measures within an online ride booking service. The proposed system integrates seamlessly into the existing online ride booking infrastructure and introduces advanced safety mechanisms based on realtime data analysis. Machine learning models are employed to predict and mitigate potential risks, ensuring a secure and reliable experience for both passengers and drivers.
Authors
- A. Rehash Rushmi Pavitra
- S. Sharanya (ORCID: https://orcid.org/0000-0003-2442-3246)
- Senthil Pandi S
- D. Rajalakshmi
- P.S. Immaculate
- V. Vijayalakshmi
Institutions
- SRM Institute of Science and Technology (IN)
- Rajalakshmi Engineering College
Publication Details
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1109/iceca63461.2024.10801020
- Primary Topic
- Autonomous Vehicle Technology and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00