How StreetLight Data uses machine learning to plug cities into the mobility revolution

The mobility revolution may have the potential to transform cities, but in the short term the rise in ride-hailing apps, bike sharing, and electric scooters is giving many local officials fits. A healthy dose of data and machine learning may help get this movement back on track.

That’s the bet that San Francisco-based StreetLight Data is making. The company is helping cities harness the explosion of data being generated by everything from smart city sensors to mobile phones to new transportation modes, in a bid to reinvent urban planning. As cities groan under rising populations and pollution, making more effective use of data could be the key to making them habitable over the long run…

The company’s platform draws on trillions of GPS and cellular data points from numerous sources, including cell phones, sensors placed around smart cities, connected cars, and internet of things deployments.