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Arcadis Code Orange

By Bob Lee|2019-10-24T22:05:13+00:00October 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 […]

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

By Bob Lee|2019-10-08T22:54:23+00:00October 8th, 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 Bob Lee|2019-07-19T23:38:08+00:00July 18th, 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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DB4IoT and INRIX Trip Paths – Webinar Presentation

By Bob Lee|2019-06-19T23:42:54+00:00June 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 […]

Moonshadow Launches DB4IoT Transportation Data for GHG Reporting

By Bob Lee|2019-06-11T22:07:26+00:00June 11th, 2019|

DB4IoT Transportation Data for GHG Reporting from Moonshadow provides detailed insight into the travel activity patterns in cities, metro areas and counties and can be used by consultants and local governments to gain a deeper understanding of when and where transportation is generating the most emissions.

DB4IoT Transportation Data for GHG Reporting delivers maps and spreadsheets that can be included in Community GHG Inventory Reports, Climate Action Plans and Transportation Plans that consultants prepare for cities, counties, MPOs and DOTs or can be used by local governments themselves to support new […]

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

By Bob Lee|2019-06-11T22:45:25+00:00June 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 […]

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