Artículos de revistas sobre el tema "TRAFFIC CONGESTION DETECTION"
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Wiseman, Yair. "Computerized Traffic Congestion Detection System". International Journal of Transportation and Logistics Management 1, n.º 1 (30 de diciembre de 2017): 1–8. http://dx.doi.org/10.21742/ijtlm.2017.1.1.01.
Texto completoIdura Ramli, Nurshahrily y Mohd Izani Mohamed Rawi. "An overview of traffic congestion detection and classification techniques in VANET". Indonesian Journal of Electrical Engineering and Computer Science 20, n.º 1 (1 de octubre de 2020): 437. http://dx.doi.org/10.11591/ijeecs.v20.i1.pp437-444.
Texto completoXiang, Yingxiao, Wenjia Niu, Endong Tong, Yike Li, Bowei Jia, Yalun Wu, Jiqiang Liu, Liang Chang y Gang Li. "Congestion Attack Detection in Intelligent Traffic Signal System: Combining Empirical and Analytical Methods". Security and Communication Networks 2021 (31 de octubre de 2021): 1–17. http://dx.doi.org/10.1155/2021/1632825.
Texto completoWang, Chao. "An Effective Congestion Control Algorithm based on Traffic Assignment and Reassignment in Wireless Sensor Network". Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, n.º 8 (3 de diciembre de 2020): 1166–74. http://dx.doi.org/10.2174/2352096513999200628095848.
Texto completoKayarga, Tanuja y H. M. Navyashree. "A Novel Framework to Control and Optimize the Traffic Congestion Issue in VANET". International Journal of Engineering & Technology 7, n.º 2.31 (24 de agosto de 2018): 245. http://dx.doi.org/10.14419/ijet.v7i3.31.18234.
Texto completoEl-Sersy, Heba y Ayman El-Sayed. "Survey of Traffic Congestion Detection using VANET". Communications on Applied Electronics 1, n.º 4 (26 de marzo de 2015): 14–20. http://dx.doi.org/10.5120/cae-1520.
Texto completoCherkaoui, Badreddine, Abderrahim Beni-Hssane, Mohamed El Fissaoui y Mohammed Erritali. "Road traffic congestion detection in VANET networks". Procedia Computer Science 151 (2019): 1158–63. http://dx.doi.org/10.1016/j.procs.2019.04.165.
Texto completoKalinic, Maja y Jukka M. Krisp. "Fuzzy inference approach in traffic congestion detection". Annals of GIS 25, n.º 4 (2 de octubre de 2019): 329–36. http://dx.doi.org/10.1080/19475683.2019.1675760.
Texto completoBhanja, Urmila, Anita Mohanty y Bhagyashree Das. "Embedded based real time traffic congestion detection". International Journal of Vehicle Information and Communication Systems 3, n.º 4 (2018): 267. http://dx.doi.org/10.1504/ijvics.2018.094976.
Texto completoMohanty, Anita, Bhagyashree Das y Urmila Bhanja. "Embedded based real time traffic congestion detection". International Journal of Vehicle Information and Communication Systems 3, n.º 4 (2018): 267. http://dx.doi.org/10.1504/ijvics.2018.10016393.
Texto completoEs Swidi, A., S. Ardchir, A. Daif y M. Azouazi. "Road users detection for traffic congestion classification". Mathematical Modeling and Computing 10, n.º 2 (2023): 518–23. http://dx.doi.org/10.23939/mmc2023.02.518.
Texto completoYang, Xinghai, Fengjiao Wang, Zhiquan Bai, Feifei Xun, Yulin Zhang y Xiuyang Zhao. "Deep Learning-Based Congestion Detection at Urban Intersections". Sensors 21, n.º 6 (15 de marzo de 2021): 2052. http://dx.doi.org/10.3390/s21062052.
Texto completoKhan, Zahid, Anis Koubaa y Haleem Farman. "Smart Route: Internet-of-Vehicles (IoV)-Based Congestion Detection and Avoidance (IoV-Based CDA) Using Rerouting Planning". Applied Sciences 10, n.º 13 (30 de junio de 2020): 4541. http://dx.doi.org/10.3390/app10134541.
Texto completoZhang, Xue Li. "Path Reconstruction of Intelligent Traffic Based on Positive Feedback System". Applied Mechanics and Materials 513-517 (febrero de 2014): 3160–64. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3160.
Texto completoZaitouny, Ayham, Athanasios D. Fragkou, Thomas Stemler, David M. Walker, Yuchao Sun, Theodoros Karakasidis, Eftihia Nathanail y Michael Small. "Multiple Sensors Data Integration for Traffic Incident Detection Using the Quadrant Scan". Sensors 22, n.º 8 (11 de abril de 2022): 2933. http://dx.doi.org/10.3390/s22082933.
Texto completoAnbaroglu, B., B. Heydecker y T. Cheng. "HOW TRAVEL DEMAND AFFECTS DETECTION OF NON-RECURRENT TRAFFIC CONGESTION ON URBAN ROAD NETWORKS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (7 de junio de 2016): 159–64. http://dx.doi.org/10.5194/isprs-archives-xli-b2-159-2016.
Texto completoAnbaroglu, B., B. Heydecker y T. Cheng. "HOW TRAVEL DEMAND AFFECTS DETECTION OF NON-RECURRENT TRAFFIC CONGESTION ON URBAN ROAD NETWORKS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (7 de junio de 2016): 159–64. http://dx.doi.org/10.5194/isprsarchives-xli-b2-159-2016.
Texto completoGe, Ling Yan y Bi Feng Zhu. "Analysis and Optimization of Hangzhou East Area Traffic Based on the Congestion Index Detection Platform". Advanced Materials Research 1030-1032 (septiembre de 2014): 2182–86. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.2182.
Texto completoBalasubramanian, Saravana Balaji, Prasanalakshmi Balaji, Asmaa Munshi, Wafa Almukadi, T. N. Prabhu, Venkatachalam K y Mohamed Abouhawwash. "Machine learning based IoT system for secure traffic management and accident detection in smart cities". PeerJ Computer Science 9 (8 de marzo de 2023): e1259. http://dx.doi.org/10.7717/peerj-cs.1259.
Texto completoMohanty, Anita, Sudipta Mahapatra y Urmila Bhanja. "Traffic congestion detection in a city using clustering techniques in VANETs". Indonesian Journal of Electrical Engineering and Computer Science 13, n.º 3 (1 de marzo de 2019): 884. http://dx.doi.org/10.11591/ijeecs.v13.i3.pp884-891.
Texto completoWang, Wan-Xiang, Rui-Jun Guo y Jing Yu. "Research on road traffic congestion index based on comprehensive parameters: Taking Dalian city as an example". Advances in Mechanical Engineering 10, n.º 6 (junio de 2018): 168781401878148. http://dx.doi.org/10.1177/1687814018781482.
Texto completoWang, Chishe, Yuting Chen, Jie Wang y Jinjin Qian. "An Improved CrowdDet Algorithm for Traffic Congestion Detection in Expressway Scenarios". Applied Sciences 13, n.º 12 (15 de junio de 2023): 7174. http://dx.doi.org/10.3390/app13127174.
Texto completoPillai, Arjun, Kajal Chourasia y Bhavya Agarwal. "Neural Network Based Traffic Monitoring using UAVs". International Journal of Engineering and Advanced Technology 8, n.º 4s2 (1 de agosto de 2020): 45–50. http://dx.doi.org/10.35940/ijeat.d1003.0484s219.
Texto completoXu, Ling, Qun Ba y Shan Hu. "Reserch on Traffic Congestion Detection Using Realtime Video". Applied Mechanics and Materials 241-244 (diciembre de 2012): 2100–2106. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2100.
Texto completoSheikh, Muhammad Sameer, Jun Liang y Wensong Wang. "An Improved Automatic Traffic Incident Detection Technique Using a Vehicle to Infrastructure Communication". Journal of Advanced Transportation 2020 (13 de enero de 2020): 1–14. http://dx.doi.org/10.1155/2020/9139074.
Texto completoPeng, Ming Long, Xin Rong Liang, Chao Jun Dong y Yan Yan Liu. "Freeway Traffic Congestion Identification Based on Fuzzy Logic Inference". Applied Mechanics and Materials 397-400 (septiembre de 2013): 2227–30. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2227.
Texto completoV, Mahalakshmi y Dr Manjunath S. "Automatic Detection of Pedestrian Crossing Platform using Congestion Monitoring". International Journal for Research in Applied Science and Engineering Technology 11, n.º 8 (31 de agosto de 2023): 275–79. http://dx.doi.org/10.22214/ijraset.2023.55178.
Texto completoKoukounaris, Athanasios I., Konstantina P. Marousi y P. E. Yorgos J. Stephanedes. "Congestion detection and diversion in coastal urban traffic". Transportation Research Procedia 41 (2019): 255–59. http://dx.doi.org/10.1016/j.trpro.2019.09.045.
Texto completoYang, Yuan Feng, Xue Feng Xian, Li Li Liao y Min Ya Zhao. "A Feature Extraction Approach of Traffic Congestion from Video". Advanced Materials Research 490-495 (marzo de 2012): 1058–62. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1058.
Texto completoBretherton, David, Keith Wood y Neil Raha. "Traffic Monitoring and Congestion Management in the SCOOT Urban Traffic Control System". Transportation Research Record: Journal of the Transportation Research Board 1634, n.º 1 (enero de 1998): 118–22. http://dx.doi.org/10.3141/1634-15.
Texto completoDongare, Tejas, Dhiraj Huljute, Pranit Jadhav, Anuj Lad y Prof Sheetal Marawar. "A Review on Traffic Management and Road Analysis of Porwal Road". International Journal for Research in Applied Science and Engineering Technology 11, n.º 1 (31 de enero de 2023): 881–84. http://dx.doi.org/10.22214/ijraset.2023.48508.
Texto completoNurhadryani, Yani, Wulandari Wulandari y Muhammad Naufal Farras Mastika. "Vehicle Detection Monitoring System using Internet of Things". Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, n.º 5 (31 de octubre de 2022): 749–60. http://dx.doi.org/10.29207/resti.v6i5.4082.
Texto completoShariat Mohaymany, Afshin y Matin Shahri. "Evaluating the impact of new congestion charging scheme using smartphone-based data: a spatial change detection study". Canadian Journal of Civil Engineering 47, n.º 9 (septiembre de 2020): 1105–15. http://dx.doi.org/10.1139/cjce-2019-0106.
Texto completoGao, Zhi Min, Fa Sheng Liu y Meng Chen. "Urban Transportation Crowded Recognition Technology and Application". Applied Mechanics and Materials 97-98 (septiembre de 2011): 907–10. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.907.
Texto completoAgrawal, K., M. K. Nigam, S. Bhattacharya y G. Sumathi. "Ambulance detection using image processing and neural networks". Journal of Physics: Conference Series 2115, n.º 1 (1 de noviembre de 2021): 012036. http://dx.doi.org/10.1088/1742-6596/2115/1/012036.
Texto completoAliari, Sanaz y Kaveh F. Sadabadi. "Automatic Detection of Major Freeway Congestion Events using Wireless Traffic Sensor Data: Machine Learning Approach". Transportation Research Record: Journal of the Transportation Research Board 2673, n.º 7 (25 de mayo de 2019): 436–42. http://dx.doi.org/10.1177/0361198119843859.
Texto completoShang, Qiang, Yang Yu y Tian Xie. "A Hybrid Method for Traffic State Classification Using K-Medoids Clustering and Self-Tuning Spectral Clustering". Sustainability 14, n.º 17 (5 de septiembre de 2022): 11068. http://dx.doi.org/10.3390/su141711068.
Texto completoStojanović, Natalija y Dragan Stojanović. "BIG MOBILITY DATA ANALYTICS FOR TRAFFIC MONITORING AND CONTROL". Facta Universitatis, Series: Automatic Control and Robotics 19, n.º 2 (8 de diciembre de 2020): 087. http://dx.doi.org/10.22190/fuacr2002087s.
Texto completoLe, Thi Thuy Duong, Dang Hai Hoang y Thieu Nga Pham. "Avoiding Congestion for Coap Burst Traffic". EAI Endorsed Transactions on Internet of Things 9, n.º 1 (29 de marzo de 2023): e2. http://dx.doi.org/10.4108/eetiot.v9i1.2655.
Texto completoJiang, Tian, Jing An, Hao Zhi Zhang y Zhen Guo Qian. "Traffic Information Collection System for Congestion Identification and Relief". Applied Mechanics and Materials 178-181 (mayo de 2012): 2680–85. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.2680.
Texto completoChughtai, Omer, Nasreen Badruddin, Maaz Rehan y Abid Khan. "Congestion Detection and Alleviation in Multihop Wireless Sensor Networks". Wireless Communications and Mobile Computing 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/9243019.
Texto completoTrinh, Truc y Khang Nguyen. "A Vietnamese benchmark for vehicle detection and real-time empirical evaluation". Can Tho University Journal of Science 14, n.º 3 (29 de noviembre de 2022): 45–52. http://dx.doi.org/10.22144/ctu.jen.2022.042.
Texto completoAnjaneyulu, Mohandu y Mohan Kubendiran. "Short-Term Traffic Congestion Prediction Using Hybrid Deep Learning Technique". Sustainability 15, n.º 1 (21 de diciembre de 2022): 74. http://dx.doi.org/10.3390/su15010074.
Texto completoKeerthana, Jeniffer. "Traffic Density Detection and Signal Adjustment Using IR Sensor". International Journal for Research in Applied Science and Engineering Technology 11, n.º 6 (30 de junio de 2023): 3117–21. http://dx.doi.org/10.22214/ijraset.2023.54018.
Texto completoCHEN, JING, EVAN TAN y ZHIDONG LI. "A MACHINE LEARNING FRAMEWORK FOR REAL-TIME TRAFFIC DENSITY DETECTION". International Journal of Pattern Recognition and Artificial Intelligence 23, n.º 07 (noviembre de 2009): 1265–84. http://dx.doi.org/10.1142/s0218001409007673.
Texto completoHall, Randolph W. y Nilesh Vyas. "Buses as a Traffic Probe: Demonstration Project". Transportation Research Record: Journal of the Transportation Research Board 1731, n.º 1 (enero de 2000): 96–103. http://dx.doi.org/10.3141/1731-12.
Texto completoShrivastava, Disha y Arun Agrawal. "Traffic Congestion Detection in Vehicular Adhoc Networks using GPS". IOSR Journal of Computer Engineering 16, n.º 2 (2014): 63–69. http://dx.doi.org/10.9790/0661-16216369.
Texto completoWang, Qi, Jia Wan y Yuan Yuan. "Locality constraint distance metric learning for traffic congestion detection". Pattern Recognition 75 (marzo de 2018): 272–81. http://dx.doi.org/10.1016/j.patcog.2017.03.030.
Texto completoYong-chuan, Zhang, Zuo Xiao-qing, Zhang li-ting y Chen Zhen-ting. "Traffic Congestion Detection Based On GPS Floating-Car Data". Procedia Engineering 15 (2011): 5541–46. http://dx.doi.org/10.1016/j.proeng.2011.08.1028.
Texto completoLi, Shen, Jian Zhang, Gang Zhong y Bin Ran. "A Simulation Approach to Detect Arterial Traffic Congestion Using Cellular Data". Journal of Advanced Transportation 2022 (21 de febrero de 2022): 1–13. http://dx.doi.org/10.1155/2022/8811139.
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