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contributor authorGu, Xiaoning
contributor authorChen, Chao
contributor authorFeng, Rui
contributor authorShao, Mengru
contributor authorYao, Baozhen
date accessioned2026-08-20T20:54:28Z
date available2026-08-20T20:54:28Z
date copyright2025/08/08
date issued2025
identifier otherJTEPBS.TEENG-9071.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313653
description abstractAbstractUrban traffic flow often exhibits significant dynamic spatiotemporal correlations, leading to uncertain and complex traffic states. Accurately forecasting congestion propagation, which reflects the network dynamics of the congestion scenarios, is ...
publisherAmerican Society of Civil Engineers
titleTraffic Congestion Signal Inference Based on Trajectory Correlation: A Trajectory Similarity-Based Graph Convolutional Network
typeJournal Article
journal volume151
journal issue10
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.TEENG-9071
journal fristpage04025078-1
journal lastpage04025078-15
page15
treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 010
contenttypeFulltext


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