المؤلفون: Liu Dongjiang, Li Leixiao, Li Jie

المصدر: Computational Urban Science, Vol 5, Iss 1, Pp 1-11 (2025)

مصطلحات موضوعية: Intelligent transportation system, Congestion prediction, Traffic congestion, Trajectory mining, Next location prediction, Cities. Urban geography, GF125

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2730-6852

URL الوصول: https://doaj.org/article/87ee3043ea7b410595b92a27aff85bf3

المؤلفون: Jianlong Wang, Xiaoqi Duan, Peixiao Wang, A.-Gen Qiu, Zeqiang Chen

المصدر: International Journal of Digital Earth, Vol 17, Iss 1 (2024)

مصطلحات موضوعية: Signal-controlled intersections, congestion prediction, spatio-temporal dependencies, temporal point process, congestion events, Mathematical geography. Cartography, GA1-1776

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955

URL الوصول: https://doaj.org/article/ac0f8fa826774d0a872d9c548e056a3f

المؤلفون: Nikolaos Tsalikidis, Aristeidis Mystakidis, Paraskevas Koukaras, Marius Ivaškevičius, Lina Morkūnaitė, Dimosthenis Ioannidis, Paris A. Fokaides, Christos Tjortjis, Dimitrios Tzovaras

المصدر: Smart Cities, Vol 7, Iss 1, Pp 233-253 (2024)

مصطلحات موضوعية: traffic congestion prediction, time series forecasting, road traffic, Machine Learning, Deep Learning, smart cities, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2624-6511/7/1/10; https://doaj.org/toc/2624-6511

URL الوصول: https://doaj.org/article/1f8006ec04604dc995aafc544cf61b95

المؤلفون: Tsalikidis, Nikolaos, Mystakidis, Aristeidis, Koukaras, Paraskevas, Ivaškevičius, Marius, Morkūnaitė, Lina, Ioannidis, Dimosthenis, Fokaides, Paris A., Tjortjis, Christos, Tzovaras, Dimitrios

المصدر: Smart cities., Basel : MDPI, 2024, vol. 7, iss. 1, p. 233-253. ; ISSN 2624-6511

مصطلحات موضوعية: traffic congestion prediction, time series forecasting, road traffic, Machine Learning, Deep Learning, smart cities, weather information

وصف الملف: application/pdf

Relation: https://epubl.ktu.edu/object/elaba:190722561/190722561.pdf; https://vb.ktu.edu/KTU:ELABAPDB190722561&prefLang=en_US

الاتاحة: https://vb.ktu.edu/KTU:ELABAPDB190722561&prefLang=en_US

المؤلفون: Lecheng Li, Fei Dai, Bi Huang, Shuai Wang, Wanchun Dou, Xiaodong Fu

المصدر: Sensors, Vol 24, Iss 4, p 1261 (2024)

مصطلحات موضوعية: traffic congestion prediction, 3D convolution, 3D residual unit, self-attention mechanism, spatio-temporal attention, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/24/4/1261; https://doaj.org/toc/1424-8220; https://doaj.org/article/bbf188e5ea9c4ad2af1d5eb5076aca38

الاتاحة: https://doi.org/10.3390/s24041261
https://doaj.org/article/bbf188e5ea9c4ad2af1d5eb5076aca38

المؤلفون: Meng Xu, Yining Di, Hongxing Ding, Zheng Zhu, Xiqun Chen, Hai Yang

المصدر: Communications in Transportation Research, Vol 3, Iss , Pp 100099- (2023)

مصطلحات موضوعية: Prediction and imputation, Neural processes, Congestion prediction, Graph neural networks, Transportation engineering, TA1001-1280

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772424723000100; https://doaj.org/toc/2772-4247

URL الوصول: https://doaj.org/article/52bc790bc4b74c0182c7503d3c2d6728

المؤلفون: Ibraheem A Alqwaiz, ibrahim s alnomay

المصدر: Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 33, Iss 2, Pp 335-341 (2023)

مصطلحات موضوعية: 5g 6g ric ai machine learning congestion prediction, Telecommunication, TK5101-6720

وصف الملف: electronic resource

Relation: https://www.fruct.org/publications/volume-33/acm33/files/AlN.pdf; https://doaj.org/toc/2305-7254; https://doaj.org/toc/2343-0737

URL الوصول: https://doaj.org/article/52dfe9a537d74c68a8babb087fef96b4

المؤلفون: Xing Wang, Ruihao Zeng, Fumin Zou, Lyuchao Liao, Faliang Huang

المصدر: International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-16 (2023)

مصطلحات موضوعية: Traffic congestion prediction, Free-stream velocity, Road network structure, Spatio-temporal information, Transformer, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1875-6883

URL الوصول: https://doaj.org/article/29bdd9e3ebc041809018f8a7c22ee8a4

المؤلفون: Noor Afiza Mat Razali, Nuraini Shamsaimon, Khairul Khalil Ishak, Suzaimah Ramli, Mohd Fahmi Mohamad Amran, Sazali Sukardi

المصدر: Journal of Big Data, Vol 8, Iss 1, Pp 1-25 (2021)

مصطلحات موضوعية: Traffic flow, Congestion prediction, Machine learning, Deep learning, Connected vehicles, Hybrid machine learning, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2196-1115

URL الوصول: https://doaj.org/article/608a0252a4a74f7e86b80097f6036316

المؤلفون: Youssef Benmessaoud, Loubna Cherrat, Mostafa Ezziyyani

المصدر: Computers; Volume 12; Issue 4; Pages: 80

مصطلحات موضوعية: intelligent decision, information technology, congestion prediction, intelligent transportation systems (ITS)

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/computers12040080

الاتاحة: https://doi.org/10.3390/computers12040080

المؤلفون: Sura Mahmood Abdullah, Muthusamy Periyasamy, Nafees Ahmed Kamaludeen, S. K. Towfek, Raja Marappan, Sekar Kidambi Raju, Amal H. Alharbi, Doaa Sami Khafaga

المصدر: Sustainability; Volume 15; Issue 7; Pages: 5949

مصطلحات موضوعية: congestion prediction, traffic congestion, transportation systems, recurrent neural networks, bidirectional neural, traffic load, deep learning, gated recurrent unit

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/su15075949

الاتاحة: https://doi.org/10.3390/su15075949

المؤلفون: Olushola Adegoke

المصدر: International Journal of Computer (IJC); Vol. 49 No. 1 (2023); 192-228 ; 2307-4523

مصطلحات موضوعية: artificial intelligence, machine learning, deep learning, traffic management, congestion prediction, GPS trajectory data, Tom-Tom Traffic Index, decision trees, Python

وصف الملف: application/pdf

Relation: http://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/2123/795; http://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/2123

الاتاحة: http://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/2123

المؤلفون: Duy Tran Quang, Sang Hoon Bae

المصدر: Promet (Zagreb), Vol 33, Iss 3, Pp 373-385 (2021)

مصطلحات موضوعية: traffic congestion prediction, deep learning, convolutional neural network, probe vehicles, gradient descent optimization, Transportation engineering, TA1001-1280

وصف الملف: electronic resource

Relation: https://traffic.fpz.hr/index.php/PROMTT/article/view/3657; https://doaj.org/toc/0353-5320; https://doaj.org/toc/1848-4069

URL الوصول: https://doaj.org/article/fc6af13a511541bfb08b90c6c8661a1d

المؤلفون: SHI Min, CAI Shaowei, YI Qingming

المصدر: Shanghai Jiaotong Daxue xuebao, Vol 55, Iss 02, Pp 124-130 (2021)

مصطلحات موضوعية: dilated-dense network, spatio-temporal characteristics, convolutional neural networks, short-term traffic congestion prediction, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Naval architecture. Shipbuilding. Marine engineering, VM1-989

وصف الملف: electronic resource

Relation: http://xuebao.sjtu.edu.cn/CN/10.16183/j.cnki.jsjtu.2020.99.009; https://doaj.org/toc/1006-2467

URL الوصول: https://doaj.org/article/72c08a795cb84eb6a76afa1b54d9a739

المؤلفون: Saida Maaroufi, Samuel Pierre

المصدر: IEEE Access, Vol 9, Pp 53096-53122 (2021)

مصطلحات موضوعية: Blockchain, congestion prediction, random forest, K-means, machine learning (ML), network function virtualization (NFV), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9391673/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/a030de552ff1492db02ae017932430fd

المؤلفون: Farnoush Falahatraftar, Samuel Pierre, Steven Chamberland

المصدر: IEEE Access, Vol 9, Pp 122284-122298 (2021)

مصطلحات موضوعية: Vehicular networks, congestion control, classification methods, network congestion prediction, WAVE, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9524575/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/91bd2748c23448db91a95d02434ab6e7

المؤلفون: Cesar A. Gomez, Xianbin Wang, Abdallah Shami

المصدر: IEEE Access, Vol 9, Pp 10674-10685 (2021)

مصطلحات موضوعية: Active queue management (AQM), AQM tuning, congestion control, congestion prediction, federated learning, inter-domain communication, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9317728/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/99440365b7f248a685169a0b0a1d6758

المؤلفون: Bagus Priambodo, Azlina Ahmad, Rabiah Abdul Kadir

المصدر: IEEE Access, Vol 9, Pp 85933-85946 (2021)

مصطلحات موضوعية: Intelligent transportation systems, Hidden Markov model, traffic flow propagation, road congestion prediction, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9416489/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/f6540fd4088f46998a7c11ed8c08b666

المؤلفون: John F. Zaki, Amr Ali-Eldin, Sherif E. Hussein, Sabry F. Saraya, Fayez F. Areed

المصدر: Ain Shams Engineering Journal, Vol 11, Iss 3, Pp 535-551 (2020)

مصطلحات موضوعية: Hidden Markov models, Traffic congestion prediction, Freeway traffic, Contrast measure, Correlation analysis, Empirical evaluation, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S209044791930142X; https://doaj.org/toc/2090-4479

URL الوصول: https://doaj.org/article/b5bfb70aa20c4b77aadd5e682531c1bb

المؤلفون: Jiang, Wenzhao, Han, Jindong, Liu, Hao, Tao, Tao, Tan, Naiqiang, Xiong, Hui

مصطلحات موضوعية: Congestion prediction, Mixture-of-experts, Spatiotemporal modeling

Relation: https://doi.org/10.1145/3637528.3671507

الاتاحة: http://repository.hkust.edu.hk/ir/Record/1783.1-143641
https://doi.org/10.1145/3637528.3671507
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2154-817X&rft.volume=&rft.issue=&rft.date=2024&rft.spage=5206&rft.aulast=Jiang&rft.aufirst=Wenzhao&rft.atitle=Interpretable+Cascading+Mixture-of-Experts+for+Urban+Traffic+Congestion+Prediction&rft.title=Proceedings+of+the+ACM+SIGKDD+International+Conference+on+Knowledge+Discovery+and+Data+Mining
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