AWS Public Sector Blog

Category: Amazon Timestream

AWS branded background design with text overlay that says "Using Amazon Timestream and Amazon Location Service to detect transportation route deviations and anomalies"

Using Amazon Timestream and Amazon Location Service to detect transportation route deviations and anomalies

Transit authorities have to maintain the location and schedule of large numbers of vehicle fleets on a daily basis. Most commonly, GPS coordinates are used to track vehicle location and transportation route. GPS coordinates often have anomalies that can contaminate location reporting. Additionally, if a vehicle takes a detour, it will offset public transportation schedules. Both cases impact the riders negatively. Keeping track and getting notified is a challenge. In this post, we look into an anomaly detection mechanism for public transportation using Amazon Web Services (AWS) offerings.

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Health Electrification and Telecommunications Alliance works with AWS to electrify health facilities in sub-Saharan Africa

The Health Electrification and Telecommunications Alliance (HETA) is Power Africa’s initiative for health facility electrification and digital connectivity in sub-Saharan Africa. Power Africa is part of the United States Agency for International Development (USAID) and harnesses the collective resources of public and private sectors to expand electricity in sub-Saharan Africa. This post describes how AWS and HETA bring together governments, donors, technology providers, and health organizations to develop sustainable business models that can electrify and digitally connect healthcare infrastructure.

AWS branded background with text overlay that says "How transit agencies can use AWS to improve safety and passenger experience"

How transit agencies can use AWS to improve safety and passenger experience

Fleet managers can use Amazon Web Services (AWS) to ingest and analyze fleet driver data. In this post, we share how a large public transit agency in the United States worked with AWS to create a proof-of-concept (POC) to analyze operator behavior and improve its visibility of sudden acceleration-based events.