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 addition, our mobility options are dramatically changing with the recent increase in services like ride-hailing and carpool matching using apps, bike share, and the rise of e-commerce resulting in increased package delivery services. Transportation planners and engineers have historically based transportation decisions on this limited data set, but today more than ever before we have access to large data sets from many sources that we must leverage to accurately plan for the future of transportation.

Read the full article in the November 2018 issue of ITE Journal.

DB4IoT with INRIX Trips for Portland over OpenStreetMaps - Every Dot is a Vehicle Movement Record

DB4IoT with INRIX Trips for Portland over OpenStreetMaps – Every Dot is a Vehicle Movement Record