Gothenburg / San Francisco / New York / Stockholm / Lund / Norrköping / Vancouver / Malmö / /
Company
Neural Information Processing Systems / Nokia / NAVTEQ LLC / Intelligent Transportation Systems / Hoogendoorn S.P. / /
Country
Sweden / Belgium / United States / Canada / Portugal / / /
Facility
Traffic Management Centre / Hall D.L. / Royal Institute of Technology / Linköping University / University of California / Linkoping University / / /
IndustryTerm
travel time system / arterial networks / link travel-time distributions / travel time estimation / road network / real-time calculations / real-time output / link travel-times / model-based estimation algorithms / model map-matching algorithm / expectation-maximization algorithm / travel time estimations / Data processing / data fusion algorithms / Travel time data / travel time inference / fusion algorithms / data fusion algorithm / travel time / travel times / travel-times / individual travel-times / conservation law / travel time calculation / /
Organization
Linköping University / California Center for Innovative Transportation / UC Berkeley / In Neural Information Processing Systems / University of California / Berkeley / World Congress / Linkoping University / US Federal Reserve / Institute of Technology / Traffic Management Centre in Stockholm / US Department of Transportation / Swedish Transport Administration / /
Person
Saneesh Apte / Daniel Edwards / / /
Position
Corresponding author / Hunter / /
ProvinceOrState
New York / California / /
Region
Western Europe / /
Technology
smart phones / GPS / Mobile Phones / machine learning / data fusion algorithms / GIS / statistical and model-based estimation algorithms / cellular telephone / dedicated hidden Markov model map-matching algorithm / expectation-maximization algorithm / Environmental Engineering / data fusion algorithm / cell phones / simulation / Bluetooth / fusion algorithms / /
MOBILE
MILLENNIUM
STOCKHOLM
ABSTRACT