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.
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 […]
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 […]
There are three types of points in the INRIX Trips data; Origin points, Waypoints and Destination points. Trips start at an origin point, generate data at a number of waypoints and end at a destination point. In DB4IoT with INRIX Trips you can select all waypoints on a specific road and generate an Origin-Destination Matrix for all trips passing through that road. In addition, the platform provides routing information (via waypoints) that visualize the route that was used by a trip.
If you manage a freeway system you are interested in trip routing details, rather than […]
The NYC Open Data portal provides an interesting and useful data set from the NYPD that is a breakdown of every collision in NYC by location and injury. This data is manually run every month and reviewed by the TrafficStat Unit before being posted on the NYPD website. 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 DB4IoT, our time-series database engine and analytics platform for the Internet of Moving Things, to visualize the six-year […]
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 […]
