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

By Bob Lee|2019-03-25T21:09:46+00:00December 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 please also read our October blog post on this topic.

View the full presentation here.

Deriving Greenhouse Gas Emissions Estimates from Connected Vehicle Data

By Bob Lee|2018-10-31T19:51:38+00:00October 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 emissions estimates using measured vehicle movement data for Copenhagen, Denmark. This shows the spatial presentation of greenhouse gas emissions from […]

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

By Bob Lee|2018-10-29T18:44:28+00:00August 22nd, 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.

Please accept marketing-cookies to watch this video.

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 cutting-edge analytics about the movement of millions of vehicles. INRIX, the […]

Moonshadow Mobile Partners with INRIX to Deliver Powerful Travel Pattern Analytics Platform

By Bob Lee|2018-08-22T20:46:39+00:00June 4th, 2018|

Novi, MI – June 4, 2018 – Today, Moonshadow Mobile, Inc. announced a partnership with INRIX, the world leader in transportation analytics and connected car services, to incorporate INRIX Trips Reports into Moonshadow’s DB4IoT platform. The solution offers transportation agencies an intuitive, cloud- based origin-destination analytics platform for understanding the trips consumers and fleets make over time on maps, charts, graphs and animations.

“DB4IoT with INRIX Trips transforms and optimizes operations for departments of transport and public transit agencies, informs short- and long-term transportation planning and engineering efforts, and unleashes the potential of connected vehicle data,” said Eimar Boesjes, CEO at Moonshadow Mobile. “The addition of INRIX Trips data to DB4IoT will shed light on existing infrastructure usage, pinpoint challenges and […]

Making Better Transit Planning Decisions by Identifying ITS Data Errors

By Bob Lee|2018-04-13T02:05:13+00:00April 13th, 2018|

Over the last few decades public transit agencies have installed CAD/AVL systems on their buses for Computer Aided Dispatch and Automatic Vehicle Location. CAD/AVL systems capture data measurements of the location of the bus, number of passengers, delay, speed and many other variables, often as frequently as every five seconds. The result is a huge trove of data that can provide a wealth of information and insights about the operation of a transit agency. Data in these large quantities, however, always contains a significant number of errors. If charts, graphs and even complete dashboard solutions are based on faulty data they can lead to erroneous conclusions about drive times, speeds, delays, headway and other aspects of transit operation.

In his presentation […]

Route Analyst GTFS Presentations in Seattle

By Bob Lee|2018-10-05T19:31:46+00:00December 13th, 2017|

Moonshadow CEO, Eimar Boesjes, introduced Route Analyst GTFS to a number of transit agencies and ITS professionals from the greater Seattle area on December 11th and 12th. Our partners at DKS Associates hosted a session at their offices on the 11th and Boesjes demoed the technology at the ITS Washington vendor showcase held at the University of Washington HUB on the 12th.

Route Analyst GTFS creates speed, delay and headway maps, charts and graphs instantly from your GTFS and GTFS-RealTime feeds.

Route Analyst GTFS is cloud-based database and analytics software for the Internet of Moving Things that empowers transit agencies with an innovative suite of remarkably-affordable and easy-to-use tools that deliver actionable insights and valuable conclusions derived from the General Transit Feed […]

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