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Partnership with Caltrans and UC Berkeley will analyze real-time traffic patterns and individual commuter travel history to forecast faster and safer routes.
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Product combines real street network data, real-time GPS information and predictive analysis algorithms to pull, convert and push real-time information to riders.
Read More →Estimated arrival times will be generated through a combination of scheduling information and data collected by the CTA's QuickTrak program, which monitors signaling systems and indicates when a portion of track is occupied by a train.
Read More →SSS offers secure data systems, compliance reporting and tracking tools, video and online training, a CSA 2010 tracking & analysis kit, educational tips, drug and alcohol testing services and other easy-to-use time-savers that cut overhead costs.
Read More →The TTC also announced that real-time data for next streetcar arrival information is available, free, to anyone wishing to make use of the data for custom applications. Real-time data for all bus routes will be available in 2011.
Read More →Under the $1.6M contract, NextBus will use its patented technology to process data obtained from all buses in LA Metro’s fleet equipped with GPS devices, then provide real-time, predictive bus arrival information to users by interfacing with the Southern California 511 phone- and website-based traveller information service, LA Metro’s own public website, the nextbus.com website, as well as cell and smartphone text messaging.
Read More →S.F.'s BART was one of the first major transportation systems to go digital, and was among the first to allow third-party developers to access scheduling data.
Read More →From Blacksburg Transit's VT Bus Tracker for Virginia Tech to King County Metro and the University of Washington’s One Bus Away, transit systems linked with universities are leading the way with open source technology. They are providing real-time arrival information to riders and giving them mobile access, through iPhone and Android applications. But there is a huge disparity among agencies across the country in terms of the information they are providing to riders.
Read More →Combining predictive analytics with real-time information about current travel congestion from sensors and other data, the system could recommend better ways to get to a destination, such as how to get to a nearby mass transit hub, whether the train is predicted to be on time, and whether parking is predicted to be available at the train station.
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Each of the 50 buses in the Unitrans fleet has been outfitted with a global positioning system tracking unit that transmits its location every 10 seconds. In addition, NextBus algorithms use a bus's location, the schedule and historical data to predict its arrival time at each stop.
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