Matiasen: AV sensor data will evolve cities out of traffic congestion
Taggart Matheson · a16z Podcast | Cars and Cities, the Autonomy Edition · Jan 2, 2019 · at 25:44
Taggart Matiasen discusses how autonomous vehicle sensor data and predictive traffic patterns can reshape urban transit infrastructure on the a16z Podcast.
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“I think as these cars evolve, the sensors that are on these cars and the amount of data that we're picking up allows us to basically get this heartbeat in the city of where all of these cars are, what the traffic patterns look like. And on a long enough timeline, you can actually leverage that data to start to predict. And so I think what gets really, really interesting as cities evolve is you have a ton of this data that you can start to evaluate to determine What's the best path in terms of traffic? And so whether it's using smart signals or potentially even smart lanes in terms of lanes, certain times of day for cars that have greater than, let's say, two or three people in it, there are ways that we can leverage this data and look at these patterns to basically evolve these cities out of the congestion that we see today.”
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