DB4IoT with INRIX Trips

ITS Washington Annual Meeting Presentation – Using Connected Vehicle Data to Estimate Greenhouse Gas Emissions

By |December 19th, 2018|

Eimar Boesjes, Moonshadow CEO, delivered a technical presentation at the ITS Washington annual meeting on December 11th, 2018 in Seattle.

Estimating vehicle emissions from connected vehicle data does not replace existing environmental models, roadside emissions measurements or environmental models. Rather, it augments these. We think it would be extremely interesting to compare the emissions estimates from DB4IoT with INRIX Trips with actual measurements from roadside air quality measurements, with emissions calculations from gasoline sales and with the existing environmental models. These different approaches each give a different insight and they can be used to ‘ground truth’ each other.

For additional background information […]

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Analyzing Vehicle Movement Data: Current Challenges and Future Promises

By |November 13th, 2018|

Eimar M. Boesjes, CEO, Moonshadow Mobile
Adrian Pearmine, National Director for Smart Cities & Connected Vehicles, DKS Associates
ITE Journal, November 2018

Transportation decisions are driven by data. In many cases, significant investment decisions from transportation planning and analysis have been based on limited data sets using traffic data collected over a period of a week or less. But, we know transportation demand and patterns are dynamic. Traffic varies daily as a result of incidents, special events, weather conditions, holidays and more. Traffic also varies from year-to-year based on factors such as the economy, changes in travelers’ choices, and new development. In […]

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Deriving Greenhouse Gas Emissions Estimates from Connected Vehicle Data

By |October 31st, 2018|

Eimar M. Boesjes, CEO, Moonshadow Mobile
Joshua Skov, Industry Mentor, Lundquist College of Business, University of Oregon
October 26, 2018

What does the carbon footprint from transportation look like? In particular, how could you map it?

Typically, carbon footprinting exercises for local and regional jurisdictions deliver highly aggregated results. Even when the unit of analysis is geographic, the data is all about pie charts and tables. The results for New York City are…for all of New York City. Meaningful and important, but it leaves us missing something truly geographic in nature. Moonshadow Mobile recently completed a proof of concept (PoC) to derive greenhouse gas […]

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DB4IoT with INRIX Trips: Generate Origin-Destination Matrices in Seconds

By |August 21st, 2018|

DB4IoT with INRIX Trips delivers the capability to generate Origin-Destination matrices from databases with hundreds of millions of waypoint records within seconds.  This makes generating O/D matrices an interactive process.  Users can change the time periods, date range or vehicle types and DB4IoT generates the O/D matrix automatically.  This video shows how quick and easy it is to generate an O/D matrix in DB4IoT with INRIX Trips.

DB4IoT, Moonshadow’s database engine for the Internet of Moving Things, was purpose-built for time-series geospatial data about moving objects (IoMT data). DB4IoT is faster and more efficient than traditional database solutions in delivering […]

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