Analysis and prediction of individual vehicle activity for microscopic traffic modeling
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Georgia Institute of Technology
2008
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ndltd-GATECH-oai-smartech.gatech.edu-1853-207362013-12-15T03:38:07ZAnalysis and prediction of individual vehicle activity for microscopic traffic modelingHallmark, Shauna L.Traffic flow Mathematical modelsTransportation Environmental aspectsTraffic engineering Simulation methodsAir quality managementMotor vehicles MotorsGeorgia Institute of Technology2008-04-03T12:48:04Z2008-04-03T12:48:04Z1999-12Dissertationhttp://hdl.handle.net/1853/20736590703Access restricted to authorized Georgia Tech users only. |
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topic |
Traffic flow Mathematical models Transportation Environmental aspects Traffic engineering Simulation methods Air quality management Motor vehicles Motors |
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Traffic flow Mathematical models Transportation Environmental aspects Traffic engineering Simulation methods Air quality management Motor vehicles Motors Hallmark, Shauna L. Analysis and prediction of individual vehicle activity for microscopic traffic modeling |
author |
Hallmark, Shauna L. |
author_facet |
Hallmark, Shauna L. |
author_sort |
Hallmark, Shauna L. |
title |
Analysis and prediction of individual vehicle activity for microscopic traffic modeling |
title_short |
Analysis and prediction of individual vehicle activity for microscopic traffic modeling |
title_full |
Analysis and prediction of individual vehicle activity for microscopic traffic modeling |
title_fullStr |
Analysis and prediction of individual vehicle activity for microscopic traffic modeling |
title_full_unstemmed |
Analysis and prediction of individual vehicle activity for microscopic traffic modeling |
title_sort |
analysis and prediction of individual vehicle activity for microscopic traffic modeling |
publisher |
Georgia Institute of Technology |
publishDate |
2008 |
url |
http://hdl.handle.net/1853/20736 |
work_keys_str_mv |
AT hallmarkshaunal analysisandpredictionofindividualvehicleactivityformicroscopictrafficmodeling |
_version_ |
1716618750467244032 |