Tag: StreetLight Data
SAN FRANCISCO, CA – StreetLight Data, Inc, the leader in Big Data analytics for mobility, today launched Annual Average Daily Traffic (AADT) metrics for Canada on the...
StreetLight Data, Inc., a provider of big data analytics for mobility, debuted an industry-first with the capability to measure bicycle and pedestrian traffic, virtually anywhere, in addition to vehicular traffic.
StreetLight Data, Inc. launched its new Annual Average Daily Traffic metrics available on-demand through the StreetLight InSight platform. The metrics are based on 365 days of data from over 65 million smart phones, connected cars and connected trucks, as well as census data, road network information, and more.
StreetLight Data, Inc. closed $10 Million in Series C funding to accelerate development of its proprietary StreetLight InSight, an online SaaS tool designed for Smart Cities and the transportation industry.
StreetLight Data, Inc. launched its Multimodal Measurement Initiative (M2Initiative) to measure the way all modes of travel interact. This includes trips made by personal vehicles, public transit, walking, biking, commercial trucks, and even “gig economy” trips made by on-demand rideshare and delivery drivers.
StreetLight Data, Inc. launched its new Traffic Diagnostics tool that assists in Multimodal Planning and Travel Demand Management to solve congestion problems.
The Virginia Department of Transportation (VDOT) selected StreetLight Data, Inc. to provide on-demand traffic and transportation intelligence. Local, regional, and state planning agencies across Virginia utilize VDOT’s Regional Subscription to the online StreetLight InSight platform to transform Big Data from mobile devices into useful mobility metrics and travel pattern analyses.
Like many communities, the Bay Area city of Lafayette, Calif., wants to alleviate traffic congestion, so the city partnered with engineering firm Arup on...
StreetLight Data, Inc. announced a breakthrough in urban, suburban, and rural planning that it said delivers dramatically more accurate, representative and dynamic traffic data.