Blog

  • Figure 6. Select link analysis using INRIX Trip Paths

INRIX Trip Reports vs. INRIX Trip Paths

By |May 30th, 2019|

Three years ago, INRIX introduced INRIX Trips, also known as INRIX Trip Reports. INRIX Trip Reports provides accurate insight into the trips people take, including where they begin and end their journeys and all the waypoints in between. There are three types of points in the INRIX Trip Reports 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. The INRIX Trip Reports data can be used to analyze movement patterns, generate origin/destination matrices […]

  • DB4IoT with INRIX Trips for DKS Clark County WA - On-ramp and Off-ramp are selectors in the side panel

Generate Freeway Origin-Destination Matrices Interactively In DB4IoT with INRIX Trips

By |May 17th, 2019|

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 […]

  • 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 […]

  • 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 […]

  • DB4IoT with INRIX Trips - Step 1, Speed in Copenhagen

Deriving Greenhouse Gas Emissions Estimates from Connected Vehicle Data

By |October 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 […]

  • Generate Origin-Destination Matrices in Seconds

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

By |August 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 […]