Big Data | Commercial Trucks | Freight | Traffic
Coming soon to the blog : An updated analysis of truck parking trends and needs with transportation experts Fehr & Peers.
Freight-loaded trucks create the most wear and tear on highways and local roads, but what’s the best way to accurately measure truck traffic? Vehicle miles traveled (VMT) is a helpful indicator, but not all regions have the ability to quickly and affordably separate heavy trucks from personal vehicle traffic counts.
That’s where Big Data comes in. Today’s truck-focused data sets using GPS can pinpoint truck metrics including trip origin, destination, route, duration, and stops along the way. Traditional truck measurement methods simply can’t keep up.
Commercial Trucks | Freight
Here at StreetLight, we provide analytics for many projects aimed at analyzing commercial and freight vehicles. We support improved freight demand modeling, analyze internal/external routes, explore how trucks going freight hubs like ports move through cities, etc. See our blog for more use cases.
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Big Data | Commercial Trucks | Freight
Today's commercial travel analysis is becoming more complicated, and traditional data methods are struggling to keep up. For example, small-package delivery is done more and more by people in their own personal cars - how can we accurately capture that information? This increasing complexity necessitates better and more granular data about commercial traffic, and Big Data can help.