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.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/iceca63461.2024.10801020
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
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article

SafeRoute: Pioneering Online Ride Booking with Pega & ML-Powered Safety Measures

A. Rehash Rushmi Pavitra, S. Sharanya, Senthil Pandi S, D. Rajalakshmi et al.
Autonomous Vehicle Technology and Safety
article

SafeRoute: Pioneering Online Ride Booking with Pega & ML-Powered Safety Measures

A. Rehash Rushmi Pavitra, S. Sharanya, Senthil Pandi S, D. Rajalakshmi, P.S. Immaculate, V. Vijayalakshmi
article en

Abstract

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.

SRM Institute of Science and Technology (IN), Rajalakshmi Engineering College
Affordable and clean energy
Openalex Percentile: Top 74%
Autonomous Vehicle Technology and Safety
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SafeRoute: Pioneering Online Ride Booking with Pega & ML-Powered Safety Measures — A. Rehash Rushmi Pavitra, S. Sharanya, et al. · (2024) | TGRS Research Map | TGRS