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contributor authorLeu, Pei-Yu
contributor authorHaroon, Saquib M.
contributor authorKhadka, Sunil
contributor authorRyan, Alyssa
contributor authorZhang, Liang
date accessioned2026-08-20T20:58:05Z
date available2026-08-20T20:58:05Z
date copyright2026/05/08
date issued2026
identifier otherJTEPBS.TEENG-9533.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313745
description abstractAbstractTransportation professionals increasingly rely on large data sets to understand travel behavior and improve system performance. However, many agencies face challenges accessing and using these data due to limited programming experience and complex ...Practical ApplicationsTransportation agencies and practitioners are increasingly working with large and diverse data sets, such as expansive vehicle speed, volume, and pedestrian activity data sets. However, many agencies, particularly at the local level, ...
publisherAmerican Society of Civil Engineers
titleLeveraging AI Techniques to Facilitate User-Friendly Transportation Data Retrieval for Speed and Volume Data
typeJournal Article
journal volume152
journal issue7
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.TEENG-9533
journal fristpage04026043-1
journal lastpage04026043-10
page10
treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 007
contenttypeFulltext


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