Fuzzy deep learning based urban traffic incident detection

2017 Intelligent Systems and Computer Vision (ISCV) ◽

10.1109/isacv.2017.8054903 ◽

2017 ◽

Author(s):

Chaimae El Hatri ◽

Jaouad Boumhidi

Keyword(s):

Deep Learning ◽

Urban Traffic ◽

Incident Detection ◽

Traffic Incident

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Fuzzy deep learning based urban traffic incident detection

Cognitive Systems Research ◽

10.1016/j.cogsys.2017.12.002 ◽

2018 ◽

Vol 50 ◽

pp. 206-213 ◽

Author(s):

Chaimae El Hatri ◽

Jaouad Boumhidi

Keyword(s):

Deep Learning ◽

Urban Traffic ◽

Incident Detection ◽

Traffic Incident

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A Deep Learning Approach for Traffic Incident Detection in Urban Networks

2018 21st International Conference on Intelligent Transportation Systems (ITSC) ◽

10.1109/itsc.2018.8569402 ◽

2018 ◽

Author(s):

Lin Zhu ◽

Fangce Guo ◽

Rajesh Krishnan ◽

John W. Polak

Keyword(s):

Deep Learning ◽

Incident Detection ◽

Learning Approach ◽

Urban Networks ◽

Traffic Incident

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Effective variables for urban traffic incident detection

2015 IEEE Vehicular Networking Conference (VNC) ◽

10.1109/vnc.2015.7385576 ◽

2015 ◽

Author(s):

Chaiyaphum Siripanpornchana ◽

Sooksan Panichpapiboon ◽

Pimwadee Chaovalit

Keyword(s):

Urban Traffic ◽

Incident Detection ◽

Traffic Incident

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Urban traffic incident detection with mobile sensors based on SVM

2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS) ◽

10.23919/ursigass.2017.8104994 ◽

2017 ◽

Author(s):

Bin Pan ◽

Hao Wu

Keyword(s):

Urban Traffic ◽

Mobile Sensors ◽

Incident Detection ◽

Traffic Incident

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Traffic Incident Detection: A Deep Learning Framework

2019 20th IEEE International Conference on Mobile Data Management (MDM) ◽

10.1109/mdm.2019.00-22 ◽

2019 ◽

Author(s):

Xiaolin Han

Keyword(s):

Deep Learning ◽

Incident Detection ◽

Learning Framework ◽

Traffic Incident

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Real-time traffic incident detection based on a hybrid deep learning model

Transportmetrica A Transport Science ◽

10.1080/23249935.2020.1813214 ◽

2020 ◽

pp. 1-21

Author(s):

Linchao Li ◽

Yi Lin ◽

Bowen Du ◽

Fan Yang ◽

Bin Ran

Keyword(s):

Deep Learning ◽

Real Time ◽

Learning Model ◽

Incident Detection ◽

Traffic Incident ◽

Real Time Traffic ◽

Deep Learning Model

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Urban Traffic Incident Detection Based On Fuzzy Logic

IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics ◽

10.1109/iecon.2006.347245 ◽

2006 ◽

Author(s):

Kong Yaguang ◽

Xue Anke

Keyword(s):

Fuzzy Logic ◽

Urban Traffic ◽

Incident Detection ◽

Traffic Incident

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Urban Traffic Incident Detection for Organic Traffic Control: A Density-based Clustering Approach

Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems ◽

10.5220/0010454101520160 ◽

2021 ◽

Author(s):

Ingo Thomsen ◽

Yannick Zapfe ◽

Sven Tomforde

Keyword(s):

Traffic Control ◽

Urban Traffic ◽

Incident Detection ◽

Traffic Incident ◽

Density Based Clustering ◽

Clustering Approach

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Traffic incident detection system based on video image processing

Journal of Computer Applications ◽

10.3724/sp.j.1087.2008.01886 ◽

2008 ◽

Vol 28 (7) ◽

pp. 1886-1889 ◽

Author(s):

Qin WANG ◽

Shan HUANG ◽

Hong-bin ZHANG ◽

Quan YANG ◽

Jian-jun ZHANG

Keyword(s):

Image Processing ◽

Detection System ◽

Video Image ◽

Incident Detection ◽

Traffic Incident ◽

Video Image Processing

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Rough Sets and FCM-Based Neuro-fuzzy Inference System for Traffic Incident Detection

2008 Fourth International Conference on Natural Computation ◽

10.1109/icnc.2008.55 ◽

2008 ◽

Author(s):

Hui-zhe Zhang ◽

Jian Wang ◽

Zi-hui Ren

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Incident Detection ◽

Inference System ◽

Traffic Incident ◽

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