Today, agencies are managing their roadways with data that’s only 27.6% accurate
. With poor data, engineers must rely on time-consuming
fieldwork and citizen complaints to fill in the gaps, and don’t have time to monitor all their networks. With poor data, agencies can’t capture accurate environmental metrics. And with poor data, AI can’t optimize signal timing plans. Poor data also impacts environmental equity
: a study by the American Journal of Public Health found traffic volume is 2.4 times as high
in low income areas than high income areas.