Data-driven insights on urban mobility, smart city technology, and how software is reshaping traffic management.
Six criteria that separate traffic management vendors, the RFP questions worth asking, and where each category of alternative actually falls short. Written by TraffiCure, with our own answers included so you can check them.
How cities move from reacting to jams to catching them 15 to 30 minutes early. What predictive traffic management is, and Pune's measured result.
The Smart Cities Mission put sensors and cameras on more Indian junctions than anything before it, and traffic still got worse. Here's what I think actually went wrong, and why most of that data turned out to be nearly unusable.
Notes from onboarding a city with no traffic lights. I went in assuming Shillong barely had a traffic problem, and came back convinced this product might matter more to small, growing cities than to the big, broken ones we usually build for.
Cities monitor traffic using loops, cameras, radar, manual surveys and probe data. Here's how each method works, what it costs, and what it leaves out.
Most congested roads aren't the problem; they're backed up behind one. How software separates traffic causes from symptoms, on every road, no cameras.
Google RMI is the first genuine successor to the 1954 Detroit origin-destination survey. Every measurement tool in between was a workaround for the same missing data.
Five questions every Indian city should answer before approving the next ITMS camera tender. A data-driven diagnostic for planners.
How our 2-minute refresh cycle delivers traffic intelligence that's faster than the congestion itself.