Application of Dynamic Lane Grouping and Artificial Intelligence Techniques in Predicting the Optimum Lane Groups at Isolated Signalized Intersections

Saved in:
Bibliographic Details
Main Author: unknown (author)
Format: masterThesis
Published: 2020
Subjects:
Online Access:https://eprints.kfupm.edu.sa/id/eprint/140300/1/KhaledAssi_201107350_CE_PhD.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868869868891144193
author unknown
author_facet unknown
author_role author
dc.creator.*.fl_str_mv unknown
dc.date.*.fl_str_mv 2020
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/140300/1/KhaledAssi_201107350_CE_PhD.pdf
Application of Dynamic Lane Grouping and Artificial Intelligence Techniques in Predicting the Optimum Lane Groups at Isolated Signalized Intersections. PhD thesis, King Fahd University of Petroleum and Minerals.
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/140300/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Transportation Engineering
dc.title.none.fl_str_mv Application of Dynamic Lane Grouping and Artificial Intelligence Techniques in Predicting the Optimum Lane Groups at Isolated Signalized Intersections
dc.type.none.fl_str_mv Thesis
NonPeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/masterThesis
eu_rights_str_mv openAccess
format masterThesis
id KFUPM_dd3b656f9631064f7df435ebe1a89480
identifier_str_mv Application of Dynamic Lane Grouping and Artificial Intelligence Techniques in Predicting the Optimum Lane Groups at Isolated Signalized Intersections. PhD thesis, King Fahd University of Petroleum and Minerals.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai:eprints.kfupm.edu.sa:140300
publishDate 2020
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Application of Dynamic Lane Grouping and Artificial Intelligence Techniques in Predicting the Optimum Lane Groups at Isolated Signalized IntersectionsTransportation EngineeringThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/140300/1/KhaledAssi_201107350_CE_PhD.pdf Application of Dynamic Lane Grouping and Artificial Intelligence Techniques in Predicting the Optimum Lane Groups at Isolated Signalized Intersections. PhD thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/140300/2020info:eu-repo/semantics/openAccessunknownoai:eprints.kfupm.edu.sa:1403002026-06-21T09:13:38Z
spellingShingle Application of Dynamic Lane Grouping and Artificial Intelligence Techniques in Predicting the Optimum Lane Groups at Isolated Signalized Intersections
unknown
Transportation Engineering
status_str publishedVersion
title Application of Dynamic Lane Grouping and Artificial Intelligence Techniques in Predicting the Optimum Lane Groups at Isolated Signalized Intersections
title_full Application of Dynamic Lane Grouping and Artificial Intelligence Techniques in Predicting the Optimum Lane Groups at Isolated Signalized Intersections
title_fullStr Application of Dynamic Lane Grouping and Artificial Intelligence Techniques in Predicting the Optimum Lane Groups at Isolated Signalized Intersections
title_full_unstemmed Application of Dynamic Lane Grouping and Artificial Intelligence Techniques in Predicting the Optimum Lane Groups at Isolated Signalized Intersections
title_short Application of Dynamic Lane Grouping and Artificial Intelligence Techniques in Predicting the Optimum Lane Groups at Isolated Signalized Intersections
title_sort Application of Dynamic Lane Grouping and Artificial Intelligence Techniques in Predicting the Optimum Lane Groups at Isolated Signalized Intersections
topic Transportation Engineering
url https://eprints.kfupm.edu.sa/id/eprint/140300/1/KhaledAssi_201107350_CE_PhD.pdf