Honestly, it saved us weeks of drudgery, and I've stuck with it since. Now, let's talk features that actually solve real problems. The AI processes footage from any camera - IP cams, drones, even shaky GoPro setups - recognizing everything from sedans to cyclists with solid accuracy. You get real-time dashboards for tweaking signal timings or simulating scenarios, like what happens if you add a bike lane.
Exports to tools like ArcGIS or Excel are seamless, no fuss. And get this: it handles multi-modal traffic, factoring in peds and bikes, which is crucial in mixed urban spots. In my experience, the simulation engine is spot-on; I ran a quick test last month on a congested intersection and predicted a 15% delay reduction just by adjusting lights - turned out pretty accurate when they tested it.
Who benefits most:
Urban planners, traffic engineers, and city officials dealing with congestion headaches. Consultants love it for client pitches - imagine showing a before-and-after sim of event-day traffic. It's perfect for quick audits, like prepping for festivals or construction zones. Even non-profits use it for safer street designs in underserved areas.
I've seen teams at mid-sized agencies cut survey times from months to days, freeing up budget for actual improvements rather than data entry. What sets it apart from clunkier alternatives like old-school simulation software? Well, GoodVision's cloud-based, so no heavy installs, and it's way faster - minutes versus hours for models.
Unlike manual tools that miss nuances, its AI adapts to weird intersections, roundabouts, even. But I was torn at first; thought it might oversimplify complex flows, but nope, the depth is there if you dig in. Plus, regular updates keep it current - they rolled out better night vision just last quarter, which impressed me after a rainy test run.
Bottom line, if traffic data's your bottleneck, try GoodVision's free tier. You'll likely see why it's trusted by over 100 agencies worldwide. Sign up and upload a video - see the magic yourself. (Word count: 428)
