IBM’s Predictive Modeling Determines Traffic Conditions An Hour In Advance
Founded on a the principle of networked traffic sensors combined with historical traffic data and weather forecasting, IBM has begun to develop a predictive modeling method that can determine traffic conditions up to an hour in advance. IBM’s design calls for this information to be broadcast to drivers’ in-vehicle navigation systems, as well as to electronic roadsigns that are currently limited to in-the-moment traffic conditions. Currently in talks with mobile service providers, IBM hopes to collect anonymous location data to track more detailed information about roadways, creating richer predictive modeling algorithms. Focused on optimization, the system includes balancing the traffic load across alternative routes by distributing custom messages to different groups of users.
[via Dailymail]
Recent Articles By Kyle Studstill 
Kyle Studstill is a regular contributor to PSFK.com. Kyle works as a consultant working at the New York office of PSFK. His background is in analysis, from the analysis of cultural and technological change, to analysis of consumer and human insight, to military intelligence analysis with the US Intelligence and Security Command. Kyle loves the future, much like O'Brien from Orwell's Nineteen Eighty-Four.
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| TOPICS: | Automotive, Electronics & Gadgets, Travel, Web & Technology |
| TAGS: | city infrastructure, IBM, Intelligent Cities, predictive modeling, sensors |
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