Статті в журналах з теми "TRAFFIC CONGESTION DETECTION"
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Wiseman, Yair. "Computerized Traffic Congestion Detection System." International Journal of Transportation and Logistics Management 1, no. 1 (December 30, 2017): 1–8. http://dx.doi.org/10.21742/ijtlm.2017.1.1.01.
Повний текст джерелаIdura Ramli, Nurshahrily, and Mohd Izani Mohamed Rawi. "An overview of traffic congestion detection and classification techniques in VANET." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (October 1, 2020): 437. http://dx.doi.org/10.11591/ijeecs.v20.i1.pp437-444.
Повний текст джерелаXiang, Yingxiao, Wenjia Niu, Endong Tong, Yike Li, Bowei Jia, Yalun Wu, Jiqiang Liu, Liang Chang, and Gang Li. "Congestion Attack Detection in Intelligent Traffic Signal System: Combining Empirical and Analytical Methods." Security and Communication Networks 2021 (October 31, 2021): 1–17. http://dx.doi.org/10.1155/2021/1632825.
Повний текст джерелаWang, 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, no. 8 (December 3, 2020): 1166–74. http://dx.doi.org/10.2174/2352096513999200628095848.
Повний текст джерелаKayarga, Tanuja, and H. M. Navyashree. "A Novel Framework to Control and Optimize the Traffic Congestion Issue in VANET." International Journal of Engineering & Technology 7, no. 2.31 (August 24, 2018): 245. http://dx.doi.org/10.14419/ijet.v7i3.31.18234.
Повний текст джерелаEl-Sersy, Heba, and Ayman El-Sayed. "Survey of Traffic Congestion Detection using VANET." Communications on Applied Electronics 1, no. 4 (March 26, 2015): 14–20. http://dx.doi.org/10.5120/cae-1520.
Повний текст джерелаCherkaoui, Badreddine, Abderrahim Beni-Hssane, Mohamed El Fissaoui, and 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.
Повний текст джерелаKalinic, Maja, and Jukka M. Krisp. "Fuzzy inference approach in traffic congestion detection." Annals of GIS 25, no. 4 (October 2, 2019): 329–36. http://dx.doi.org/10.1080/19475683.2019.1675760.
Повний текст джерелаBhanja, Urmila, Anita Mohanty, and Bhagyashree Das. "Embedded based real time traffic congestion detection." International Journal of Vehicle Information and Communication Systems 3, no. 4 (2018): 267. http://dx.doi.org/10.1504/ijvics.2018.094976.
Повний текст джерелаMohanty, Anita, Bhagyashree Das, and Urmila Bhanja. "Embedded based real time traffic congestion detection." International Journal of Vehicle Information and Communication Systems 3, no. 4 (2018): 267. http://dx.doi.org/10.1504/ijvics.2018.10016393.
Повний текст джерелаEs Swidi, A., S. Ardchir, A. Daif, and M. Azouazi. "Road users detection for traffic congestion classification." Mathematical Modeling and Computing 10, no. 2 (2023): 518–23. http://dx.doi.org/10.23939/mmc2023.02.518.
Повний текст джерелаYang, Xinghai, Fengjiao Wang, Zhiquan Bai, Feifei Xun, Yulin Zhang, and Xiuyang Zhao. "Deep Learning-Based Congestion Detection at Urban Intersections." Sensors 21, no. 6 (March 15, 2021): 2052. http://dx.doi.org/10.3390/s21062052.
Повний текст джерелаKhan, Zahid, Anis Koubaa, and Haleem Farman. "Smart Route: Internet-of-Vehicles (IoV)-Based Congestion Detection and Avoidance (IoV-Based CDA) Using Rerouting Planning." Applied Sciences 10, no. 13 (June 30, 2020): 4541. http://dx.doi.org/10.3390/app10134541.
Повний текст джерелаZhang, Xue Li. "Path Reconstruction of Intelligent Traffic Based on Positive Feedback System." Applied Mechanics and Materials 513-517 (February 2014): 3160–64. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3160.
Повний текст джерелаZaitouny, Ayham, Athanasios D. Fragkou, Thomas Stemler, David M. Walker, Yuchao Sun, Theodoros Karakasidis, Eftihia Nathanail, and Michael Small. "Multiple Sensors Data Integration for Traffic Incident Detection Using the Quadrant Scan." Sensors 22, no. 8 (April 11, 2022): 2933. http://dx.doi.org/10.3390/s22082933.
Повний текст джерелаAnbaroglu, B., B. Heydecker, and 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 (June 7, 2016): 159–64. http://dx.doi.org/10.5194/isprs-archives-xli-b2-159-2016.
Повний текст джерелаAnbaroglu, B., B. Heydecker, and 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 (June 7, 2016): 159–64. http://dx.doi.org/10.5194/isprsarchives-xli-b2-159-2016.
Повний текст джерелаGe, Ling Yan, and Bi Feng Zhu. "Analysis and Optimization of Hangzhou East Area Traffic Based on the Congestion Index Detection Platform." Advanced Materials Research 1030-1032 (September 2014): 2182–86. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.2182.
Повний текст джерелаBalasubramanian, Saravana Balaji, Prasanalakshmi Balaji, Asmaa Munshi, Wafa Almukadi, T. N. Prabhu, Venkatachalam K, and Mohamed Abouhawwash. "Machine learning based IoT system for secure traffic management and accident detection in smart cities." PeerJ Computer Science 9 (March 8, 2023): e1259. http://dx.doi.org/10.7717/peerj-cs.1259.
Повний текст джерелаMohanty, Anita, Sudipta Mahapatra, and Urmila Bhanja. "Traffic congestion detection in a city using clustering techniques in VANETs." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 3 (March 1, 2019): 884. http://dx.doi.org/10.11591/ijeecs.v13.i3.pp884-891.
Повний текст джерелаWang, Wan-Xiang, Rui-Jun Guo, and Jing Yu. "Research on road traffic congestion index based on comprehensive parameters: Taking Dalian city as an example." Advances in Mechanical Engineering 10, no. 6 (June 2018): 168781401878148. http://dx.doi.org/10.1177/1687814018781482.
Повний текст джерелаWang, Chishe, Yuting Chen, Jie Wang, and Jinjin Qian. "An Improved CrowdDet Algorithm for Traffic Congestion Detection in Expressway Scenarios." Applied Sciences 13, no. 12 (June 15, 2023): 7174. http://dx.doi.org/10.3390/app13127174.
Повний текст джерелаPillai, Arjun, Kajal Chourasia, and Bhavya Agarwal. "Neural Network Based Traffic Monitoring using UAVs." International Journal of Engineering and Advanced Technology 8, no. 4s2 (August 1, 2020): 45–50. http://dx.doi.org/10.35940/ijeat.d1003.0484s219.
Повний текст джерелаXu, Ling, Qun Ba, and Shan Hu. "Reserch on Traffic Congestion Detection Using Realtime Video." Applied Mechanics and Materials 241-244 (December 2012): 2100–2106. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2100.
Повний текст джерелаSheikh, Muhammad Sameer, Jun Liang, and Wensong Wang. "An Improved Automatic Traffic Incident Detection Technique Using a Vehicle to Infrastructure Communication." Journal of Advanced Transportation 2020 (January 13, 2020): 1–14. http://dx.doi.org/10.1155/2020/9139074.
Повний текст джерелаPeng, Ming Long, Xin Rong Liang, Chao Jun Dong, and Yan Yan Liu. "Freeway Traffic Congestion Identification Based on Fuzzy Logic Inference." Applied Mechanics and Materials 397-400 (September 2013): 2227–30. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2227.
Повний текст джерелаV, Mahalakshmi, and Dr Manjunath S. "Automatic Detection of Pedestrian Crossing Platform using Congestion Monitoring." International Journal for Research in Applied Science and Engineering Technology 11, no. 8 (August 31, 2023): 275–79. http://dx.doi.org/10.22214/ijraset.2023.55178.
Повний текст джерелаKoukounaris, Athanasios I., Konstantina P. Marousi, and 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.
Повний текст джерелаYang, Yuan Feng, Xue Feng Xian, Li Li Liao, and Min Ya Zhao. "A Feature Extraction Approach of Traffic Congestion from Video." Advanced Materials Research 490-495 (March 2012): 1058–62. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1058.
Повний текст джерелаBretherton, David, Keith Wood, and Neil Raha. "Traffic Monitoring and Congestion Management in the SCOOT Urban Traffic Control System." Transportation Research Record: Journal of the Transportation Research Board 1634, no. 1 (January 1998): 118–22. http://dx.doi.org/10.3141/1634-15.
Повний текст джерелаDongare, Tejas, Dhiraj Huljute, Pranit Jadhav, Anuj Lad, and 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, no. 1 (January 31, 2023): 881–84. http://dx.doi.org/10.22214/ijraset.2023.48508.
Повний текст джерелаNurhadryani, Yani, Wulandari Wulandari, and Muhammad Naufal Farras Mastika. "Vehicle Detection Monitoring System using Internet of Things." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, no. 5 (October 31, 2022): 749–60. http://dx.doi.org/10.29207/resti.v6i5.4082.
Повний текст джерелаShariat Mohaymany, Afshin, and 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, no. 9 (September 2020): 1105–15. http://dx.doi.org/10.1139/cjce-2019-0106.
Повний текст джерелаGao, Zhi Min, Fa Sheng Liu, and Meng Chen. "Urban Transportation Crowded Recognition Technology and Application." Applied Mechanics and Materials 97-98 (September 2011): 907–10. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.907.
Повний текст джерелаAgrawal, K., M. K. Nigam, S. Bhattacharya, and G. Sumathi. "Ambulance detection using image processing and neural networks." Journal of Physics: Conference Series 2115, no. 1 (November 1, 2021): 012036. http://dx.doi.org/10.1088/1742-6596/2115/1/012036.
Повний текст джерелаAliari, Sanaz, and 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, no. 7 (May 25, 2019): 436–42. http://dx.doi.org/10.1177/0361198119843859.
Повний текст джерелаShang, Qiang, Yang Yu, and Tian Xie. "A Hybrid Method for Traffic State Classification Using K-Medoids Clustering and Self-Tuning Spectral Clustering." Sustainability 14, no. 17 (September 5, 2022): 11068. http://dx.doi.org/10.3390/su141711068.
Повний текст джерелаStojanović, Natalija, and Dragan Stojanović. "BIG MOBILITY DATA ANALYTICS FOR TRAFFIC MONITORING AND CONTROL." Facta Universitatis, Series: Automatic Control and Robotics 19, no. 2 (December 8, 2020): 087. http://dx.doi.org/10.22190/fuacr2002087s.
Повний текст джерелаLe, Thi Thuy Duong, Dang Hai Hoang, and Thieu Nga Pham. "Avoiding Congestion for Coap Burst Traffic." EAI Endorsed Transactions on Internet of Things 9, no. 1 (March 29, 2023): e2. http://dx.doi.org/10.4108/eetiot.v9i1.2655.
Повний текст джерелаJiang, Tian, Jing An, Hao Zhi Zhang, and Zhen Guo Qian. "Traffic Information Collection System for Congestion Identification and Relief." Applied Mechanics and Materials 178-181 (May 2012): 2680–85. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.2680.
Повний текст джерелаChughtai, Omer, Nasreen Badruddin, Maaz Rehan, and 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.
Повний текст джерелаTrinh, Truc, and Khang Nguyen. "A Vietnamese benchmark for vehicle detection and real-time empirical evaluation." Can Tho University Journal of Science 14, no. 3 (November 29, 2022): 45–52. http://dx.doi.org/10.22144/ctu.jen.2022.042.
Повний текст джерелаAnjaneyulu, Mohandu, and Mohan Kubendiran. "Short-Term Traffic Congestion Prediction Using Hybrid Deep Learning Technique." Sustainability 15, no. 1 (December 21, 2022): 74. http://dx.doi.org/10.3390/su15010074.
Повний текст джерелаKeerthana, Jeniffer. "Traffic Density Detection and Signal Adjustment Using IR Sensor." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (June 30, 2023): 3117–21. http://dx.doi.org/10.22214/ijraset.2023.54018.
Повний текст джерелаCHEN, JING, EVAN TAN, and ZHIDONG LI. "A MACHINE LEARNING FRAMEWORK FOR REAL-TIME TRAFFIC DENSITY DETECTION." International Journal of Pattern Recognition and Artificial Intelligence 23, no. 07 (November 2009): 1265–84. http://dx.doi.org/10.1142/s0218001409007673.
Повний текст джерелаHall, Randolph W., and Nilesh Vyas. "Buses as a Traffic Probe: Demonstration Project." Transportation Research Record: Journal of the Transportation Research Board 1731, no. 1 (January 2000): 96–103. http://dx.doi.org/10.3141/1731-12.
Повний текст джерелаShrivastava, Disha, and Arun Agrawal. "Traffic Congestion Detection in Vehicular Adhoc Networks using GPS." IOSR Journal of Computer Engineering 16, no. 2 (2014): 63–69. http://dx.doi.org/10.9790/0661-16216369.
Повний текст джерелаWang, Qi, Jia Wan, and Yuan Yuan. "Locality constraint distance metric learning for traffic congestion detection." Pattern Recognition 75 (March 2018): 272–81. http://dx.doi.org/10.1016/j.patcog.2017.03.030.
Повний текст джерелаYong-chuan, Zhang, Zuo Xiao-qing, Zhang li-ting, and 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.
Повний текст джерелаLi, Shen, Jian Zhang, Gang Zhong, and Bin Ran. "A Simulation Approach to Detect Arterial Traffic Congestion Using Cellular Data." Journal of Advanced Transportation 2022 (February 21, 2022): 1–13. http://dx.doi.org/10.1155/2022/8811139.
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