We use proprietary machine learning to differentiate bikes and pedestrians from vehicular traffic. Identify where active transportation happens most, target where investments can boost activity, and measure the impact of your decisions — right from your desktop!
Trip volume between and within zones to identify demand
Route alternatives to measure success of current infrastructure
Travel distance, time, speed to address safety, and congestion
Demographics, trip purpose to ensure access to affordable options
Viewable travel patterns and multiple metrics allow for developing equitable, multi-objective criteria to identify bicycle and pedestrian movements throughout California, to support prioritization for new active transportation infrastructure investments.View Caltrans Project
Go in-depth on our approach, compare our results with permanent bike counts and more.DOWNLOAD PDF