Further Reading
Sage Automation and BusTech partner to deliver IoT connectivity to Australia's new and existing bus fleets
News Commentary | December 23, 2020
As part of the digital transformation, Sage and BusTech will install data capture devices onto buses and vehicle infrastructure like bus stops. The data will be analyzed on a centralized server, which can be used for several use cases, including predictive maintenance (PdM) of vehicles, real‑time ... Not part of subscription
Adapdix secures $8 million Series A funding to accelerate growth of AI-powered industrial automation
News Commentary | January 05, 2021
Machine learning‑based industrial IoT platform developer Adapdix's differentiating feature is that it uses a distributed database and edge computing so that data is processed at the source, which offers various advantages over traditional (cloud/on‑prem) computing, including low latency, improved ... Not part of subscription
Natural Language Processing
Technology | January 07, 2021
Tools and techniques, including machine learning, to process, analyze, and generate text. Not part of subscription
by Christopher Robinson
Reducing congestion is at the top of many municipalities' lists of top challenges to address, and understanding traffic flow and causes of delays in intersections is crucial data to aid traffic engineers. To date, solutions have consisted of hardware and software solutions, such as Miovision's camera-based systems which can track vehicle, bicycle, and pedestrian data at intersections. Although effective, the solutions cost tens of thousands of dollars per intersection for transportation departments. Inrix's leveraging of anonymous vehicle data will likely be a significantly lower-cost solution, but it will struggle to capture data with the accuracy of camera-based setups.
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