A Highly Available GTFS-RT Positions System
Joshua Wong, Kin Tsang

TL;DR
This paper presents a highly available system for real-time public transit positioning using GTFS-RT, detailing hardware, algorithms, and deployment strategies to ensure continuous data availability across regions.
Contribution
It introduces a novel system architecture combining GPS sensors, data translation algorithms, and a multi-region deployment for high availability of GTFS-RT transit data.
Findings
Achieved high system availability across multiple regions.
Developed algorithms for translating raw GPS data into GTFS-RT format.
Designed a hardware and software stack for real-time transit positioning.
Abstract
We develop a system for real-time public transportation data, deciding to use the data standard GTFS-RT (GTFS Realtime), an open data format for public transit data. We give an overview of the design of a physical GPS sensor device, its firmware, and processes. Next, we give the algorithms used to translate raw sensor data into a public GTFS-RT data feed. We deploy this feed over a highly available cluster across multiple regions to maintain high availability.
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Taxonomy
TopicsTraffic Prediction and Management Techniques · Data Management and Algorithms · Human Mobility and Location-Based Analysis
