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

#artificialintelligence

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.


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

#artificialintelligence

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.


Global Big Data Conference

#artificialintelligence

StreetLight Data, a big data platform that helps cities unlock mobility insights from location data from smartphone apps, has raised $15 million in a series D round of funding. The raise comes as cities around the world are having to adapt to social distancing measures that require shifts in transportation -- bikes over buses, for example. Founded in 2012, San Francisco-based StreetLight Data works with an aggregator called Cuebiq, which collects anonymized location data from hundreds of apps, including weather and dating apps, installed on millions of smartphones in North America. Cuebiq packages this inside an SDK that can be used by third-party platforms to create new apps and services. StreetLight Data applies its machine learning algorithms to this data to figure out things like how people travel through cities, what transportation they use, and which times and days are busiest.


Public EV charging is a problem. Biden’s presidency could change that.

Mashable

California is the most electrified state when it comes to cars: It accounts for up to half of all U.S. electric vehicles sales. But even with Teslas, Nissan Leafs, and Chevy Bolts all over the place, it's not always easy to find a public charging station without a line, especially when driving long distances throughout California. That doesn't bode well for other states like Maryland, Colorado, and Oklahoma, which are all trying to encourage more EV sales. Now that President Biden is in office, we'll see if his plans to accelerate EV adoption mean the supporting infrastructure (like public charging stations and more fast-charging connections for 30-minute "fill-ups") will actually come to fruition. The plan outlines 500,000 new EV plugs across the U.S by the end of this decade.


The world's smartest cities: What IoT and smart governments will mean for you

#artificialintelligence

One of the next big targets of the digital age is the city. The combination of technology paired with physical infrastructure and services can simplify the lives of residents.