Artigos de revistas sobre o tema "Traffic pattern recognition"
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Zhang, Yuanqiang, e Weifeng Li. "Dynamic Maritime Traffic Pattern Recognition with Online Cleaning, Compression, Partition, and Clustering of AIS Data". Sensors 22, n.º 16 (22 de agosto de 2022): 6307. http://dx.doi.org/10.3390/s22166307.
Texto completo da fonteWu, Jian, Zhiming Cui, Victor S. Sheng, Yujie Shi e Pengpeng Zhao. "Mixed Pattern Matching-Based Traffic Abnormal Behavior Recognition". Scientific World Journal 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/834013.
Texto completo da fonteWANG, JING, PENGJIAN SHANG e XIAOJUN ZHAO. "A NEW TRAFFIC SPEED FORECASTING METHOD BASED ON BI-PATTERN RECOGNITION". Fluctuation and Noise Letters 10, n.º 01 (março de 2011): 59–75. http://dx.doi.org/10.1142/s0219477511000405.
Texto completo da fonteHong, Rongrong, Wenming Rao, Dong Zhou, Chengchuan An, Zhenbo Lu e Jingxin Xia. "Commuting Pattern Recognition Using a Systematic Cluster Framework". Sustainability 12, n.º 5 (27 de fevereiro de 2020): 1764. http://dx.doi.org/10.3390/su12051764.
Texto completo da fonteHasan, Md Mehedi, e Jun-Seok Oh. "GIS-Based Multivariate Spatial Clustering for Traffic Pattern Recognition using Continuous Counting Data". Transportation Research Record: Journal of the Transportation Research Board 2674, n.º 10 (24 de julho de 2020): 583–98. http://dx.doi.org/10.1177/0361198120937019.
Texto completo da fonteTettamanti, Tamás, Alfréd Csikós, Krisztián Balázs Kis, Zsolt János Viharos e István Varga. "PATTERN RECOGNITION BASED SPEED FORECASTING METHODOLOGY FOR URBAN TRAFFIC NETWORK". Transport 33, n.º 4 (5 de dezembro de 2018): 959–70. http://dx.doi.org/10.3846/16484142.2017.1352027.
Texto completo da fonteWang, Qi, Min Lu e Qingquan Li. "Interactive, Multiscale Urban-Traffic Pattern Exploration Leveraging Massive GPS Trajectories". Sensors 20, n.º 4 (17 de fevereiro de 2020): 1084. http://dx.doi.org/10.3390/s20041084.
Texto completo da fonteQin, Guo Feng, Yu Sun e Qi Yan Li. "Recognition of Vehicles on Geometric Morphology". Advanced Materials Research 217-218 (março de 2011): 27–32. http://dx.doi.org/10.4028/www.scientific.net/amr.217-218.27.
Texto completo da fonteIshak, Sherif S., e Haitham M. Al-Deek. "Fuzzy ART Neural Network Model for Automated Detection of Freeway Incidents". Transportation Research Record: Journal of the Transportation Research Board 1634, n.º 1 (janeiro de 1998): 56–63. http://dx.doi.org/10.3141/1634-07.
Texto completo da fonteSohn, So Young, e Hyungwon Shin. "Pattern recognition for road traffic accident severity in Korea". Ergonomics 44, n.º 1 (janeiro de 2001): 107–17. http://dx.doi.org/10.1080/00140130120928.
Texto completo da fonteLi, Huo You, Jian Jun Li e Jian Yang Li. "Pattern Recognition of Group Control Object Based on Fuzzy Neural Network". Applied Mechanics and Materials 29-32 (agosto de 2010): 2726–32. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.2726.
Texto completo da fonteKehagias, Dionysios, Athanasios Salamanis e Dimitrios Tzovaras. "Speed pattern recognition technique for short-term traffic forecasting based on traffic dynamics". IET Intelligent Transport Systems 9, n.º 6 (1 de agosto de 2015): 646–53. http://dx.doi.org/10.1049/iet-its.2014.0213.
Texto completo da fonteWang, Wei Zhi, e Bing Han Liu. "An Intelligent Recognition Algorithm on Traffic Safety States". Applied Mechanics and Materials 433-435 (outubro de 2013): 1388–91. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1388.
Texto completo da fonteBelim, S. V., e E. V. Khiryanov. "Hierarchical Traffic Sign Recognition System". Informacionnye Tehnologii 28, n.º 8 (15 de agosto de 2022): 417–23. http://dx.doi.org/10.17587/it.28.417-423.
Texto completo da fontede la Escalera, A., J. Ma Armingol e M. Mata. "Traffic sign recognition and analysis for intelligent vehicles". Image and Vision Computing 21, n.º 3 (março de 2003): 247–58. http://dx.doi.org/10.1016/s0262-8856(02)00156-7.
Texto completo da fonteLiang, Juanzhu, Shunyi Xie e Jinjian Bao. "Analysis of a Multiple Traffic Flow Network’s Spatial Organization Pattern Recognition Based on a Network Map". Sustainability 16, n.º 3 (3 de fevereiro de 2024): 1300. http://dx.doi.org/10.3390/su16031300.
Texto completo da fonteGong, Fa Ming, e Hai Juan Li. "Traffic Sign Detection and Pattern Recognition Based on Binary Tree Support Vector Machines". Advanced Materials Research 204-210 (fevereiro de 2011): 1394–98. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1394.
Texto completo da fonteLiu, Jia, Peng Gao, Jian Yuan e Xuetao Du. "An Effective Method of Monitoring the Large-Scale Traffic Pattern Based on RMT and PCA". Journal of Probability and Statistics 2010 (2010): 1–16. http://dx.doi.org/10.1155/2010/375942.
Texto completo da fonteSaha, Rajib, Mosammat Tahnin Tariq, Mohammed Hadi e Yan Xiao. "Pattern Recognition Using Clustering Analysis to Support Transportation System Management, Operations, and Modeling". Journal of Advanced Transportation 2019 (30 de dezembro de 2019): 1–12. http://dx.doi.org/10.1155/2019/1628417.
Texto completo da fonteAjdinović, Nadina, Semina Nurkić, Jasmina Baraković Husić e Sabina Baraković. "Recognition of traffic generated by WebRTC communication". Science, Engineering and Technology 1, n.º 1 (30 de abril de 2021): 15–20. http://dx.doi.org/10.54327/set2021/v1.i1.8.
Texto completo da fonteHao, Ruochen, Ling Wang, Wanjing Ma e Chunhui Yu. "Estimating Signal Timing of Actuated Signal Control Using Pattern Recognition under Connected Vehicle Environment". Promet - Traffic&Transportation 33, n.º 1 (5 de fevereiro de 2021): 153–63. http://dx.doi.org/10.7307/ptt.v33i1.3555.
Texto completo da fonteBuscema, Paolo Massimo, Giulia Massini, Giovanbattista Raimondi, Giuseppe Caporaso, Marco Breda e Riccardo Petritoli. "A Pattern Recognition Analysis of Vessel Trajectories". Algorithms 16, n.º 9 (29 de agosto de 2023): 414. http://dx.doi.org/10.3390/a16090414.
Texto completo da fonteXi, Jianfeng, Yunhe Zhao, Zhiqiang Li, Yizhou Jiang, Wenwen Feng e Tongqiang Ding. "A Recognition Method of Truck Drivers’ Braking Patterns Based on FCM-LDA2vec". International Journal of Environmental Research and Public Health 19, n.º 23 (30 de novembro de 2022): 15959. http://dx.doi.org/10.3390/ijerph192315959.
Texto completo da fonteSun, Yizhen, Jianjiang Yu, Jianwei Tian, Zhongwei Chen, Weiping Wang e Shigeng Zhang. "IoT-IE: An Information-Entropy-Based Approach to Traffic Anomaly Detection in Internet of Things". Security and Communication Networks 2021 (30 de dezembro de 2021): 1–13. http://dx.doi.org/10.1155/2021/1828182.
Texto completo da fonteChen, Juan, Kepei Qi e Shiyu Zhu. "Traffic travel pattern recognition based on sparse Global Positioning System trajectory data". International Journal of Distributed Sensor Networks 16, n.º 10 (outubro de 2020): 155014772096846. http://dx.doi.org/10.1177/1550147720968469.
Texto completo da fonteOh, Se-do, Young-jin Kim e Ji-sun Hong. "Urban Traffic Flow Prediction System Using a Multifactor Pattern Recognition Model". IEEE Transactions on Intelligent Transportation Systems 16, n.º 5 (outubro de 2015): 2744–55. http://dx.doi.org/10.1109/tits.2015.2419614.
Texto completo da fonteYU, Rong, Guoxiang WANG, Jiyuan ZHENG e Haiyan WANG. "Urban Road Traffic Condition Pattern Recognition Based on Support Vector Machine". Journal of Transportation Systems Engineering and Information Technology 13, n.º 1 (fevereiro de 2013): 130–36. http://dx.doi.org/10.1016/s1570-6672(13)60097-5.
Texto completo da fonteLo, Shih-Ching. "Expectation-maximization based algorithm for pattern recognition in traffic speed distribution". Mathematical and Computer Modelling 58, n.º 1-2 (julho de 2013): 449–56. http://dx.doi.org/10.1016/j.mcm.2012.11.004.
Texto completo da fonteHuang, Mingxia, Xuebo Yan, Zhu Bai, Haiqiang Zhang e Zeen Xu. "Key Technologies of Intelligent Transportation Based on Image Recognition and Optimization Control". International Journal of Pattern Recognition and Artificial Intelligence 34, n.º 10 (9 de janeiro de 2020): 2054024. http://dx.doi.org/10.1142/s0218001420540245.
Texto completo da fonteLin, Yueh-lung, e Conghua Wen. "Vehicle Vision Robust Detection and Recognition Method". International Journal of Pattern Recognition and Artificial Intelligence 34, n.º 10 (31 de dezembro de 2019): 2055020. http://dx.doi.org/10.1142/s0218001420550204.
Texto completo da fonteZou, Ying, Dahu Wang e Leian Liu. "Research on Human Movement Target Recognition Algorithm in Complex Traffic Environment". International Journal of Pattern Recognition and Artificial Intelligence 34, n.º 05 (29 de agosto de 2019): 2050012. http://dx.doi.org/10.1142/s0218001420500123.
Texto completo da fonteRuiqi, Luo, Zhong Xian, Zhong Luo e Li Lin. "Research on the intelligent judgment of traffic congestion in intelligent traffic based on pattern recognition technology". Cluster Computing 22, S5 (15 de março de 2018): 12581–88. http://dx.doi.org/10.1007/s10586-017-1684-8.
Texto completo da fontePan, Qingchao, e Haohua Zhang. "Key Algorithms of Video Target Detection and Recognition in Intelligent Transportation Systems". International Journal of Pattern Recognition and Artificial Intelligence 34, n.º 09 (16 de dezembro de 2019): 2055016. http://dx.doi.org/10.1142/s0218001420550162.
Texto completo da fonteShanmugaraj.S et al. "Auto Detection of Number Plate of Person without Helmet". International Journal on Recent and Innovation Trends in Computing and Communication 7, n.º 3 (20 de março de 2019): 21–24. http://dx.doi.org/10.17762/ijritcc.v7i3.5252.
Texto completo da fonteEscalera, Sergio, Oriol Pujol e Petia Radeva. "Traffic sign recognition system with β -correction". Machine Vision and Applications 21, n.º 2 (6 de junho de 2008): 99–111. http://dx.doi.org/10.1007/s00138-008-0145-z.
Texto completo da fonteSaeipour, Parisa, Parvin Sarbakhsh, Saman Salemi e Fatemeh Bakhtari Aghdam. "A Fuzzy Clustering Approach to Identify Pedestrians’ Traffic Behavior Patterns". Journal of Research in Health Sciences 23, n.º 3 (29 de setembro de 2023): e00592. http://dx.doi.org/10.34172/jrhs.2023.127.
Texto completo da fonteTanuwidjaya, Kevin, Ericson - e Lukman Hakim. "KLASIFIKASI RAMBU LALU LINTAS MENGGUNAKAN DECISION TREE J48 DAN LOCAL BINARY PATTERN". JITTER : Jurnal Ilmiah Teknologi dan Komputer 3, n.º 1 (19 de janeiro de 2022): 779. http://dx.doi.org/10.24843/jtrti.2022.v03.i01.p13.
Texto completo da fonteYang, Sung-Min, e Kang-Hyun Jo. "HOG based Pedestrian Detection and Behavior Pattern Recognition for Traffic Signal Control". Journal of Institute of Control, Robotics and Systems 19, n.º 11 (1 de novembro de 2013): 1017–21. http://dx.doi.org/10.5302/j.icros.2013.13.1858.
Texto completo da fonteYin, Shouyi, Peng Ouyang, Leibo Liu, Yike Guo e Shaojun Wei. "Fast Traffic Sign Recognition with a Rotation Invariant Binary Pattern Based Feature". Sensors 15, n.º 1 (19 de janeiro de 2015): 2161–80. http://dx.doi.org/10.3390/s150102161.
Texto completo da fonteMrgole, Anamarija L., e Drago Sever. "Incorporation of Duffing Oscillator and Wigner-Ville Distribution in Traffic Flow Prediction". PROMET - Traffic&Transportation 29, n.º 1 (6 de fevereiro de 2017): 13–22. http://dx.doi.org/10.7307/ptt.v29i1.2116.
Texto completo da fonteAdeyemi, Oladimeji, Martins Irhebhude e Adeola Kolawole. "Speed Breakers, Road Marking Detection and Recognition Using Image Processing Techniques". Advances in Image and Video Processing 7, n.º 5 (8 de novembro de 2019): 30–42. http://dx.doi.org/10.14738/aivp.75.7205.
Texto completo da fonteGe, Jun Wei, Ming Zhao e Yi Qiu Fang. "A Behavior-Based Rapid Method for P2P Traffic Identification". Applied Mechanics and Materials 380-384 (agosto de 2013): 3661–66. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3661.
Texto completo da fonteCerreto, Fabrizio, Bo Friis Nielsen, Otto Anker Nielsen e Steven S. Harrod. "Application of Data Clustering to Railway Delay Pattern Recognition". Journal of Advanced Transportation 2018 (2018): 1–18. http://dx.doi.org/10.1155/2018/6164534.
Texto completo da fonteKuo, Yau-Hwang, Mong-Fong Horng e Jung-Hsien Chiang. "An Adaptive Fuzzy Clustering Technique for Traffic Prediction of Packet-switched Networks". Journal of Advanced Computational Intelligence and Intelligent Informatics 5, n.º 3 (20 de maio de 2001): 180–88. http://dx.doi.org/10.20965/jaciii.2001.p0180.
Texto completo da fonteEllahyani, Ayoub, Mohamed El Ansari, Redouan Lahmyed e Alain Trémeau. "Traffic sign recognition method for intelligent vehicles". Journal of the Optical Society of America A 35, n.º 11 (26 de outubro de 2018): 1907. http://dx.doi.org/10.1364/josaa.35.001907.
Texto completo da fonteAtkočiūnas, E., R. Blake, A. Juozapavičius e M. Kazimianec. "Image Processing in Road Traffic Analysis". Nonlinear Analysis: Modelling and Control 10, n.º 4 (25 de outubro de 2005): 315–32. http://dx.doi.org/10.15388/na.2005.10.4.15112.
Texto completo da fonteMa, SuYuan, e MingYe Zhao. "Traffic Flow Prediction and Analysis in Smart Cities Based on the WND-LSTM Model". Computational Intelligence and Neuroscience 2022 (2 de agosto de 2022): 1–9. http://dx.doi.org/10.1155/2022/7079045.
Texto completo da fonteLu, Kaibin. "Network Anomaly Traffic Analysis". Academic Journal of Science and Technology 10, n.º 3 (27 de abril de 2024): 65–68. http://dx.doi.org/10.54097/8as0rg31.
Texto completo da fonteYao, Jingxuan, e Yuntao Ye. "The effect of image recognition traffic prediction method under deep learning and naive Bayes algorithm on freeway traffic safety". Image and Vision Computing 103 (novembro de 2020): 103971. http://dx.doi.org/10.1016/j.imavis.2020.103971.
Texto completo da fonteZhang, Chuanwei, Xiangyang Yue, Rui Wang, Niuniu Li e Yupeng Ding. "Study on Traffic Sign Recognition by Optimized Lenet-5 Algorithm". International Journal of Pattern Recognition and Artificial Intelligence 34, n.º 01 (12 de junho de 2019): 2055003. http://dx.doi.org/10.1142/s0218001420550034.
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