Your phone is quietly generating one of the most useful datasets in transportation and auto care, and it’s bigger than most people realize. We talk with Anthony Johnson, solutions engineer at Arity, about how phone-based telematics data becomes mobility intelligence you can actually use, from vehicle miles traveled (VMT) to real-time traffic signals with roughly a 60 second latency.
We break down what Arity “sees” at scale: millions of connections, massive daily trip volume, and the ability to translate raw GPS breadcrumbs into road segment analytics like traffic volume, average speed, and speed distribution across time. Anthony explains how the data is captured through an SDK embedded in opt-in apps, how non-vehicular trips get filtered out, and why the output is de-identified and aggregated to protect privacy.
Then we get practical. We dig into road traffic analytics for brick-and-mortar decision-making: visitation counts, trade areas, origin insights at the census block group level, dwell time distributions, and even how visitation can serve as a proxy for competitive market share and marketing effectiveness. We also connect risky driving behavior signals like harsh braking, rapid acceleration, speeding, distracted driving, and crash likelihood to real-world planning and forecasting, including what longer commutes and stop-and-go congestion could mean for maintenance demand in the automotive aftermarket.
We close with what’s next: intersection analytics, turning counts, queue insights, and richer audience profiling powered by demographic overlays. Subscribe, share this with a data-curious colleague, and leave a rating and review so more listeners can find the show.
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