Blog

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.

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.

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 […]

Moonshadow Launches DB4IoT Transportation Data for GHG Reporting

By |June 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 policies and plans. Moonshadow uses connected-vehicle data from millions of […]

Moonshadow and DB4IoT at ITS America 2019

By |June 6th, 2019|

The Moonshadow team demoed DB4IoT with the new INRIX Trip Paths data at ITS America in Washington DC on June 4-7, 2019. Moonshadow CEO Eimar Boesjes also delivered a panel presentation titled “Introducing the O/D CO2 Matrix Using Connected Vehicle Data from Millions of Vehicles to Reduce Greenhouse Gas Emissions.”

See below for a few images from the event.

Moonshadow and DKS Pre-Launch Trial of DB4IoT with INRIX Trip Paths

By |May 31st, 2019|

INRIX has announced a new addition to the INRIX Trips family of products: INRIX Trip Paths. INRIX now has two products that deliver detailed connected vehicle data; INRIX Trip Reports and INRIX Trip Paths. Moonshadow Mobile’s DB4IoT uses the connected vehicle data from INRIX to power DB4IoT, the analytics platform for traffic engineers. In 2018 Moonshadow released DB4IoT with INRIX Trip Reports. Today Moonshadow is releasing DB4IoT with INRIX Trip Paths.

Moonshadow Mobile works closely with DKS Associates in Portland, OR to create the exact features that traffic engineers need and DKS uses DB4IoT in its traffic engineering practice. In March […]