The Internet of Moving Things

How Connected Vehicle Data is Changing Transportation Analytics

By |January 28th, 2021|

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Our CEO, Eimar Boesjes, was invited by Prof. David Hurwitz at Oregon State University to give a guest lecture in Hurwitz’ Masters of Transportation Engineering program.  This 50 minute video gives an overview of the current state of the art in using connected vehicle data for transportation analytics.  In a quick pace Eimar covers how data is collected, the different types of data as well as the transportation analytics supported by each.  High-frequency connected vehicle data, for instance, can be used for safety analytics but Location Based Services (LBS) data from mobile apps does not have a high […]

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Moonshadow and DB4IoT at the ITS Washington Annual Conference

By |December 3rd, 2019|

Moonshadow’s Anita Van Asperdt gave a presentation on December 3, 2019 as part of a panel at the ITS Washington Annual Conference and Exhibition at the University of Washington in Seattle. The panel session was titled “Vehicle Electrification – What’s it got to do with ITS?” and included fellow panelists:

Mike Usen, DKS Associates
Michael Ippoliti, HDR
Edward Smalley, Seattle City Light

Van Asperdt’s presentation focused on “EV-Charging Infrastructure, Siting and Place Design.” […]

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Arcadis Code Orange

By |October 24th, 2019|

Arcadis, a global design, engineering and consulting company, kicked off the first Code Orange, a data analytics hackathon, in North America last week! Focused on hacking mobility in Los Angeles, Arcadis brought together data scientists, mobility experts and partners including Moonshadow to create and present data-driven prototype solutions in four intensely collaborative days, October 18-21.

Wander Boesjes (East Coast Sales Engineer) represented Moonshadow at the event and worked closely with several of the Code Orange teams as they leveraged the power of Moonshadow’s DB4IoT with INRIX Trips analytics platform during the hackathon process.

The teams tackled a variety of different scenarios and […]

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DB4IoT – Create Freeway On-Ramp to Off-Ramp Origin-Destination Matrices

By |October 11th, 2019|

In this DB4IoT Mobility Analytics Platform use-case video we’ll demonstrate how to create freeway, on-ramp to off-ramp, origin-destination matrices. You’ll also learn how to define freeway filter networks and how to analyze traffic that is avoiding a freeway because of congestion.

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DB4IoT – Introducing a Network of Pass Through Gates

By |July 11th, 2019|

We’ve added some exciting new features to empower engineers, planners and agencies to easily create networks of pass-through gates in the DB4IoT interactive mobility analytics platform. These networks can be as simple or complex as necessary to answer the specific questions at hand for your detailed analysis. Watch the following video for an overview.

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Introducing the O/D CO2 Matrix Using Connected Vehicle Data to Reduce Greenhouse Gas Emissions

By |June 11th, 2019|

Millions of connected vehicles generate detailed movement data. After anonymizing the data it can be used to gain insight into the movement patterns of vehicles as well as which movements generate the most greenhouse gas (GHG) emissions.

On June 5th at ITS America in Washington DC, Moonshadow CEO, Eimar Boesjes, delivered a presentation titled “Introducing the O/D CO2 Matrix Using Connected Vehicle Data from Millions of Vehicles to Reduce Greenhouse Gas Emissions” at a technical session and panel discussion.

Anonymized connected vehicle data includes the origin, destination and waypoints of trips. Timestamps give us the day and time for each point. By […]

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