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  • INRIX Webinar - DB4IoT with INRIX Trip Paths & Trip Reports 2018.0618

DB4IoT and INRIX Trip Paths – Webinar Presentation

By |June 19th, 2019|

INRIX  just announced the availability of a powerful new solution for understanding the movement of people through the trips they take – INRIX Trip Paths. The DB4IoT mobility analytics platform is terrific for deploying the INRIX Trips Paths data for transportation analysis.

INRIX Trip Paths is billions of GPS data points transmitted by moving vehicles or devices expertly map-matched by INRIX to road segment data from sources like OpenStreetMap. It is actual observed individual trips, including associated entry and exit times for each segment of road.

INRIX teamed with Moonshadow and the Center for Advanced Transportation Technology Laboratory at the University of Maryland on a webinar to discuss use cases and trial results in working with this exciting new dataset from INRIX.

Watch […]

  • Introducing the O-D CO2 Matrix

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

By |June 10th, 2019|

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 to Reduce Greenhouse Gas Emissions” at a technical session and panel discussion.

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.

Anonymized connected vehicle data includes the origin, destination and waypoints of trips. Timestamps give us the day and time for each point. By aggregating this data over time, we can derive detailed insights about O/D (Origin/Destination) patterns over the time of day and day of the week […]

  • The histogram shows the distribution by time of day.

NYC Motor Vehicle Collisions Data in DB4IoT

By |April 10th, 2019|

The NYC Open Data portal provides an interesting data set from the NYPD that is a breakdown of every motor vehicle collision in NYC by location and injury. Each record represents a collision in NYC by city, borough, precinct and cross street. This data can be used by the public to see how dangerous/safe intersections are in NYC.

We imported the data into the DB4IoT analytics platform to visualize the six-year period from July 2012 through June 2018. The following series of images detail the results. Public data sets such as this can be combined in DB4IoT with transportation, traffic, smart-city and ITS data from other soutces such as INRIX, GTFS feeds, CAD/AVL feeds etc. to give planners and traffic engineers […]

  • ITS-WA-Presentation

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 please also read our October blog post on this topic.

View the full presentation here.

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

By |June 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

Making Better Transit Planning Decisions by Identifying ITS Data Errors

By |April 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 […]