“Big Data” is becoming buzzier and buzzier, but the adage “data is just a cost until you use it” is an increasingly common refrain. As the CEO of a transportation analytics company, I’m a true believer in the power of data. It frankly makes me sad to see so many groups investing in the idea of Big Data only to feel disappointed when they can’t get any useful information out of it. At StreetLight Data, our top priority is to help the transportation industry “put Big Data to work”.
That’s why I’m thrilled to announce the latest feature for StreetLight InSight (that’s our on-demand platform for turning mobile device data into actionable transportation analytics.) It’s called the Congestion Analysis, and it’s designed to help you put Big Data to work to solve traffic jams. Lots of tools (including your eyes!) can tell you where traffic jams are occurring. The Congestion Analysis can tell you why the jam occurs, and suggests data-driven ideas for the best long-term solutions.
The Congestion Analysis is very different from every other feature that we’ve introduced to StreetLight InSight because – and this may surprise you – all of the analytics it provides were already available in our platform. The change is how we weave the Metrics together to tell a story, making StreetLight InSight Metrics much easier to use for congestion busting in the real world of transportation planning, modeling, and engineering.
It’s no longer news that Big Data is a big topic in transportation. Many people in our industry have been exploring how to use Big Data for years. But the technology landscape is evolving quickly, and in ways that may drive more widespread adoption of this type of data. In this post, I’ll share the four most important trends in Big Data to watch in 2018.
Get the latest news about Big Data for transportation.
It’s been an exciting year for StreetLight Data. From bringing on major new customers like Minnesota DOT and Ohio DOT to doubling the size of our Big Data sample, we have been on a roll. And that’s not all – we also added more than 25 new features and Metrics to StreetLight InSight®. In this blog post, I’ll share some of our top highlights from the last year.
We’ve added a brand-new type of analysis to StreetLight InSight®: the Segment Analysis. This feature helps you measure corridor travel behavior faster and more comprehensively. In this blog post, we’ll show you how the feature works and walk you through three great ways to use it:
For a demo of this new feature and more, watch our recorded webinar.
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?
As a San Francisco-based company, the wildfires that recently spread across northern California have been extremely troubling for our team at StreetLight Data. For us, this went beyond poor air quality in the Bay Area. The fires impacted the homes and personal well-being of our employees, our clients, and our families. While it is always difficult to see tragic events occur anywhere in the world, watching fires destroy places we love was something else entirely.
The experience forced us to think harder about what we, as a company, can do to help. Our product, StreetLight InSight®, helps transportation professionals use Big Data from mobile devices to understand travel patterns – but what specific information can it provide to aid in evacuations? At a personal level, how can we help communities in need, at least in the continental US and southern Canada, where we currently operate?
Before I dive into details, I want to stress that we’re here to help. If your community is facing an imminent evacuation, and our Metrics could help you get people get out of harm’s way, email me (I’m the CEO) directly. Tell me what you need, and we’ll skip the formalities and paperwork to provide the data for free as quickly as we can.