Blog Feature

Big Data | Commercial Trucks | Transportation

Trucks and the Port of Virginia: An HRTPO Case Study

June 22, 2018

The Port of Virginia is one of the largest ports on the East Coast, with over 1.6 million containers moving through the port in 2017. The port is only a day’s drive from two-thirds of the US population, making Hampton Roads, Virginia a hot spot for commercial trucking activity. With over 60% of cargo transported out of the port by commercial trucks, understanding the travel behavior of trucks is critical to manage the impact of commercial trucking and maintain the regional highway infrastructure. In this blog article, I will share how StreetLight Data's transportation analytics are helping the local planning agency address this issue.

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Blog Feature

Big Data | Commercial Trucks | Traffic | Transportation

Are We Ready for Autonomous Vehicles?

November 16, 2017

At this point, it seems clear that autonomous vehicles are on the verge of technical feasibility. Just last week, Waymo announced that it is testing self-driving minivans without a human back-up in the front seat. Its employees will be riding in the back with an emergency stop button – but no steering wheel. But do these technical advances mean that we’re ready for AVs? How should we manage the non-technical aspects of AV deployment to ensure they achieve promised improvements in safety and accessibility?

I decided to write this article to address these issues after participating in the Intelligent Transportation System World Congress earlier this month. There were tons of panels focused on autonomous vehicles, and I was lucky enough to speak on one that dove into the critical questions for civic leaders and transportation professionals. We went beyond technical readiness to ask ourselves if should we deploy AVs, and, if so, how should we deploy them?

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Blog Feature

Big Data | Commercial Trucks | Mobile | Transportation

Exploring Sample Size with a Daily Trip Sample Ratio for Commercial Vehicles in California

June 13, 2016

Sample size is not a simple concept when it comes to Massive Mobile Data Analytics - see our prior blog post for some examples. In this post, we're analyzing our commercial vehicle data’s sample size in California based on a Daily Trip Sample Ratio. The results are that our archival data captures ~11.8% of commercial vehicle trips that took place in California in 2015.

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Blog Feature

Commercial Trucks | Transportation

Scanning California for Truck Stops

March 31, 2016

truck stop index

A major strength of Massive Mobile Data Analytics is that it's, well, massive, and we can easily “scan” across large geographies to identify specific patterns of actual travel behavior. To leverage this, we scanned every kilometer in California for truck stops throughout 2015 -- and found some fascinating patterns about the movement of these big (and medium) rigs throughout the state.

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