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 be 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?
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.
Get the latest news about Big Data and mobility analytics for the transportation, retail, and real estate industries.
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.
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.
This blog is a recap of a presentation with the same title that StreetLight CEO Laura Schewel gave at TRB 2016. Thanks to TRB and Don Ludlow at CPCS Transcom for organizing the great panel, and to co-panelists Daniel Morgan from US DOT and Peeter Kivestu from Teradata for their excellent presentations.
TRB is a great place to learn and talk about all the big things happening in Transportation, and StreetLight Data is proud to be on a panel that dicusses the use of Big Data in Freight Transporation.