Bob Lee

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So far Bob Lee has created 37 blog entries.

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 […]

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 […]

NYPD Open Data: Motor Vehicle Collisions Analytics in DB4IoT

By |April 10th, 2019|

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 […]

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 […]

Analyzing Vehicle Movement Data: Current Challenges and Future Promises

By |November 13th, 2018|

Eimar M. Boesjes, CEO, Moonshadow Mobile
Adrian Pearmine, National Director for Smart Cities & Connected Vehicles, DKS Associates
ITE Journal, November 2018

Transportation decisions are driven by data. In many cases, significant investment decisions from transportation planning and analysis have been based on limited data sets using traffic data collected over a period of a week or less. But, we know transportation demand and patterns are dynamic. Traffic varies daily as a result of incidents, special events, weather conditions, holidays and more. Traffic also varies from year-to-year based on factors such as the economy, changes in travelers’ choices, and new development. In […]