Washington / D.C. / Leuven / Washington D.C. / Beijing / Vienna / /
Company
The Netherlands ABSTRACT Travel / State Space Neural Networks / Online Travel Time Prediction Using Clustered Neural Networks / Intelligent Transportation Systems / /
Country
Belgium / Austria / United States / Netherlands / /
Currency
Rs / /
Facility
Least Square / Delft University of Technology / Freeway Networks / /
IndustryTerm
travel time distribution model / travel time prediction / travel time estimation / expected travel time / signalized urban network / travel time using neural networks / genetic algorithm / biased travel time distribution estimation / travel time data sets / transportation systems / traffic management / travel time provision / urban road network / average link travel time / travel time distribution / urban travel time uncertainty / urban travel time distribution / urban travel times / vehicle travel times / travel time / record travel times / travel times / freeway travel time prediction using probe vehicle data / urban travel time / Real-time monitoring / freeway travel time forecasting / urban networks / microscopic simulation tool / mean travel time / wide travel time distribution / /
Organization
Transportation Research Board / Delft University of Technology / /
Person
JIE YU / Henk van Zuylen / J. VAN ZUYLEN / VAN HINSBERGEN / Monte Varità / /
Position
model for real time estimation or prediction / /
ProgrammingLanguage
ML / /
ProvinceOrState
Oregon / Georgia / /
PublishedMedium
The Netherlands ABSTRACT Travel times / /
Technology
Travel Time Prediction Algorithm / Maximization Algorithm / Vehicle Technology / GPS / simulation / Bluetooth / /
The calibration of an urban travel time distribution Fangfang Zheng*, Henk van Zuylen, Transport and Planning, Delft University of Technology, The Netherlands ABSTRACT Travel times that vehicles experience on the urban r