A Survey and Analytical Study of Real-Time Location Tracking and Route Optimization Architectures in Ride-Sharing Platforms
Author(s): 1 Prof. Mahalakshmi C V, 2 Ch .Lakshmi Narasimha Reddy, 3 Abhinav Kumar Singh,
Authors Affiliations:
1 Assistant Professor , CSE Department , Bangalore Institute Of Technology.
2Student, CSE, Bangalore Institute Of Technology.
3Student, CSE, Bangalore Institute Of Technology.
DOIs:10.2015/IJIRMF/202511035 | Paper ID: IJIRMF202511035Ride-sharing platforms such as Uber, Ola, and Swiggy rely on real-time location tracking, fast driver–request matching, and efficient route optimization to maintain low latency and high service reliability. However, these systems must handle highly dynamic situations such as GPS bursts during peak hours, unstable mobile networks, multi-order deliveries, and unpredictable city traffic.
This paper provides a combined survey and analytical study of the architectural techniques used in large-scale mobility systems, focusing on communication protocols, geo-indexing methods, telemetry handling, and routing algorithms. Three real-world case studies—Uber, Ola, and Swiggy—are examined to understand how each system responds to scenarios such as sudden GPS load, rapid request surges, and multi-stop routing.
A unified architecture is then proposed by combining the strengths of all three platforms using H3-based geo-indexing, MQTT/WebSocket hybrid communication, reinforcement-learning-based matching, and VRP-based routing. Comparative analysis shows the performance trade-offs between existing approaches and the proposed model.
The paper aims to provide a practical and system-design-oriented understanding of real-time ride-sharing architectures rather than a purely theoretical review.
Prof. Mahalakshmi C V, Ch .Lakshmi Narasimha Reddy, Abhinav Kumar Singh, (2025); A Survey and Analytical Study of Real-Time Location Tracking and Route Optimization Architectures in Ride-Sharing Platforms, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-11, Issue-11, Pp. 211-219 Available on – https://www.ijirmf.com/
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