Sample size is key for data collection projects in transportation. In this post, we explore how we evaluated our sample size for commercial vehicles in CA.
Safety Solutions from StreetLight and Ford Mobility helps transportation planners identify emerging hot spots before they turn into high-crash areas. Run safety analyses including truck, personal vehicle, bicycle, and pedestrian modes.
By fusing permanent IoT transportation sensors with our mobile data resources (and some excellent data science) we can provide data for activity on every road, sidewalk, bikelane, and neighborhood.
A higher sample size yields better results. That’s why we’ve doubled our typical sample size since last month, and more than quadrupled it since last year. This reflects general growth in new devices and new apps in our supply chain.
StreetLight Data launched its Multimodal Measurement Initiative to measure all modes of travel and how they interact. We're looking for partners to join our Working Group as we finalize analytics for modes including bike, pedestrian, and even "the gig economy."
Regional Measure 3, a ballot initiative, would increase tolls on all Bay Area bridges. I used the transportation analytics platform StreetLight InSight® to get a better understanding of the equity implications of the toll increase.
Discover the how the new Traffic Diagnostics tool from StreetLight Data can help transportation planers, modelers, and engineers use Big Data to identify causes of congestion, the best travel demand solutions for specific traffic jams, and high potential active transportation opportunities across an entire city.
Find out why Uber is using StreetLight Data's analytics to help plan UberAIR, a brand-new aerial urban transportation mode that promises to revolutionize the way people travel.