Video

DB4IoT Route Analyst GTFS – Overview Video

DB4IoT Route Analyst GTFS delivers performance analytics from your GTFS data feeds. DB4IoT Route Analyst GTFS is powered by DB4IoT – the database engine for the Internet of Moving Things.

DB4IoT Route Analyst GTFS creates speed, delay and headway maps, charts and graphs instantly from your GTFS and GTFS-RealTime feeds. Learn more db4iot.com/route-analyst-gtfs/

DB4IoT for Public Transit – Video

As a public transit agency you’ve invested millions of dollars in equipment to collect data. You’re collecting passenger counts, speeds, delays, location, movement and more on every bus every few seconds. This data is a gold mine of valuable information that could enable your transit agency to better track performance. But there’s so much data that you can’t easily and affordably make it available for instant analysis. With DB4IoT you can! Watch the video to learn more.

DB4IoT – Analyzing Real-World Cellular Connectivity Metrics Over Time

Static cellular coverage and signal-strength maps can only approximate a basic overview. DB4IoT not only provides up-to-date, real-time performance maps but users can also pick any slice of time to view, visualize and analyze historical cellular performance in “playback” mode. DB4IoT’s Internet of Moving Things software allows you to compare fluctuating cellular performance levels encompassing the range of real-world situations your moving vehicles experience every day.

DB4IoT – A Week in the Life of MTA

Each week the buses and trains of the New York City Metropolitan Transportation Authority (MTA) make over 150,000 trips. We thought it would be fun to visualize all these trips in an “animated map application”. The MTA animated map application shows the scheduled location of every bus and subway train at any time during the week over a map. This is another example of DB4IoT Internet of Moving Things software in action.

DB4IoT – A Day In The Life of TriMet

This DB4IoT video shows the movement of every Portland Trimet bus, rail and tram for a 24-hour period starting at 3:30 a.m. on Wednesday, September 7, 2016 through 3:30 a.m. on Thursday, September 8, 2016. This is an example of DB4IoT public transit analytics and visualization database software in action.