Artykuły w czasopismach na temat „Traffic congestion”
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Zhang, Liangliang, Yuanhua Jia, Zhonghai Niu i Cheng Liao. "Widespread Traffic Congestion Prediction for Urban Road Network Based on Synergetic Theory". Journal of Systems Science and Information 2, nr 4 (25.08.2014): 366–71. http://dx.doi.org/10.1515/jssi-2014-0366.
Pełny tekst źródłaNguyen, Minh Quyen, Thi Thanh Xuan Pham i Thi Thuy Hoa Phan. "Traffic Congestion". European Journal of Engineering Research and Science 4, nr 9 (19.09.2019): 112–16. http://dx.doi.org/10.24018/ejers.2019.4.9.1524.
Pełny tekst źródłaNguyen, Minh Quyen, Thi Thanh Xuan Pham i Thi Thuy Hoa Phan. "Traffic Congestion". European Journal of Engineering and Technology Research 4, nr 9 (19.09.2019): 112–16. http://dx.doi.org/10.24018/ejeng.2019.4.9.1524.
Pełny tekst źródłaMandayam, Chinmoy V., i Balaji Prabhakar. "Traffic congestion". ACM SIGMETRICS Performance Evaluation Review 42, nr 1 (20.06.2014): 553–54. http://dx.doi.org/10.1145/2637364.2592014.
Pełny tekst źródłaChen, Yongjun, Ming Huang, Kaixuan Song i Tengfei Wang. "Prediction of Ship Traffic Flow and Congestion Based on Extreme Learning Machine with Whale Optimization Algorithm and Fuzzy c-Means Clustering". Journal of Advanced Transportation 2023 (20.05.2023): 1–12. http://dx.doi.org/10.1155/2023/7175863.
Pełny tekst źródłaAdeleke, A. K., i R. M. Gebashe. "DEVELOPING SPATIAL DECISION SUPPORT SYSTEM TO ASSESS TRAFFIC CONGESTION IN THE CITY OF JOHANNESBURG". ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2022 (18.05.2022): 145–51. http://dx.doi.org/10.5194/isprs-annals-v-4-2022-145-2022.
Pełny tekst źródłaAoyagi, Saizo, Yiping Le, Tetsuo Shimizu i Kazuki Takahashi. "Mobile Application to Provide Traffic Congestion Estimates and Tourism Spots to Promote Additional Stopovers". Future Internet 12, nr 5 (29.04.2020): 83. http://dx.doi.org/10.3390/fi12050083.
Pełny tekst źródłaMuslih, Muneer, Ahmed Abduljabbar i Hasan Joni. "Review of traffic demand management strategies". IOP Conference Series: Earth and Environmental Science 1232, nr 1 (1.09.2023): 012055. http://dx.doi.org/10.1088/1755-1315/1232/1/012055.
Pełny tekst źródłaBoarnet, Marlon G., Eugene Jae Kim i Emily Parkany. "Measuring Traffic Congestion". Transportation Research Record: Journal of the Transportation Research Board 1634, nr 1 (styczeń 1998): 93–99. http://dx.doi.org/10.3141/1634-12.
Pełny tekst źródłaHenry, J. J., i J. L. Farges. "Traffic Congestion Control". IFAC Proceedings Volumes 23, nr 2 (wrzesień 1990): 177–82. http://dx.doi.org/10.1016/s1474-6670(17)52668-3.
Pełny tekst źródłaNavin, Francis P. D. "Traffic congestion catastrophes". Transportation Planning and Technology 11, nr 1 (czerwiec 1986): 19–25. http://dx.doi.org/10.1080/03081068608717327.
Pełny tekst źródłaFaraj, Mohammed Abdulmaged, i Najmadin Wahid Boskany. "Intelligent Traffic Congestion Control System using Machine Learning and Wireless Network". UHD Journal of Science and Technology 4, nr 2 (10.12.2020): 123–31. http://dx.doi.org/10.21928/uhdjst.v4n2y2020.pp123-131.
Pełny tekst źródłaDu, Hao Hua, i Meng Pan. "Research on the Influence of Last Digit Restriction to the Traffic Flow Characteristics". Applied Mechanics and Materials 253-255 (grudzień 2012): 1976–81. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1976.
Pełny tekst źródłaZhao, Ze Bin, i Yu Tian. "Traffic Behaviors Simulation under Congestion Pricing Revenue Redistribution Strategy". Applied Mechanics and Materials 253-255 (grudzień 2012): 1982–87. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1982.
Pełny tekst źródłaLutsenko, V. V., N. N. Kucherov i A. V. Gladkov. "Predicting traffic congestion based on time series analysis". Sovremennaya nauka i innovatsii, nr 2 (42) (2023): 50–58. http://dx.doi.org/10.37493/2307-910x.2023.2.5.
Pełny tekst źródłaLutsenko, V. V., N. N. Kucherov i A. V. Gladkov. "PREDICTING TRAFFIC CONGESTION BASED ON TIME SERIES ANALYSIS". Sovremennaya nauka i innovatsii, nr 1 (41) (2023): 47–55. http://dx.doi.org/10.37493/2307-910x.2023.1.4.
Pełny tekst źródłaShimizu, H., i E. J. Davison. "Traffic Congestion Control of Traffic Network". IFAC Proceedings Volumes 25, nr 18 (sierpień 1992): 117–22. http://dx.doi.org/10.1016/s1474-6670(17)49955-1.
Pełny tekst źródłaWang, Jian Ling, i Hong Bo Lai. "Congestion Analysis on Urban Traffic Network". Advanced Materials Research 756-759 (wrzesień 2013): 1635–38. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1635.
Pełny tekst źródłaMarks, Danny. "An urban political ecology of Bangkok's awful traffic congestion". Journal of Political Ecology 27, nr 1 (27.07.2020): 732–58. http://dx.doi.org/10.2458/v27i1.23604.
Pełny tekst źródłaLanga, Makhulu Relebogile, i Michael Nthabiseng Moeti. "A Real-Time Notification System for Traffic Congestion on South African National Routes". International Conference on Intelligent and Innovative Computing Applications 2022 (31.12.2022): 79–91. http://dx.doi.org/10.59200/iconic.2022.009.
Pełny tekst źródłaLiu, Xingliang, Jian Wang, Tangzhi Liu i Jin Xu. "Forecasting Spatiotemporal Boundary of Emergency-Event-Based Traffic Congestion in Expressway Network Considering Highway Node Acceptance Capacity". Sustainability 13, nr 21 (4.11.2021): 12195. http://dx.doi.org/10.3390/su132112195.
Pełny tekst źródłaAndika, Ilham, Andri Irfan Rifai, Muhammad Isradi i Joewono Prasetijo. "A Traffic Management System for Minimization of Intersection Traffic Congestion: Case Bengkong Junction, Batam". IJEBD (International Journal of Entrepreneurship and Business Development) 5, nr 5 (30.09.2022): 945–56. http://dx.doi.org/10.29138/ijebd.v5i5.1991.
Pełny tekst źródłaChu, Hung-Chi, Yi-Xiang Liao, Lin-huang Chang i Yen-Hsi Lee. "Traffic Light Cycle Configuration of Single Intersection Based on Modified Q-Learning". Applied Sciences 9, nr 21 (27.10.2019): 4558. http://dx.doi.org/10.3390/app9214558.
Pełny tekst źródłaVenkatcharyulu, S., i V. Mallikarjunareddy. "Traffic volume Analysis of Newly Developing semi-urban Road". E3S Web of Conferences 184 (2020): 01116. http://dx.doi.org/10.1051/e3sconf/202018401116.
Pełny tekst źródłaWang, Jian Ling, i Hong Bo Lai. "A Fuzzy Logic Method of Traffic State Recognition on Urban Traffic Networks". Advanced Materials Research 546-547 (lipiec 2012): 1071–74. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.1071.
Pełny tekst źródłaChee Yee, Ng, Joanne Mun-Yee Lim i Anis Fariza. "VANET Experimental Results on Detecting Traffic Congestion Using SINR and Delay". Journal of Engineering & Technological Advances 1, nr 1 (2016): 105–15. http://dx.doi.org/10.35934/segi.v1i1.105.
Pełny tekst źródłaAmin, Reuel. "Traffix : Efficient Traffic Control using IoT". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, nr 04 (27.04.2024): 1–5. http://dx.doi.org/10.55041/ijsrem31872.
Pełny tekst źródłaMote, Prof Ranjeet S., Dharmesh A. Chhajed, Sambhav V. Dwidmuthe i Komal N. More. "Smart Traffic Congestion Control". IJARCCE 6, nr 5 (30.05.2017): 304–7. http://dx.doi.org/10.17148/ijarcce.2017.6556.
Pełny tekst źródłaBo, Ku, Sun Ping i Ke Yun. "Research on the Algorithm of Automatic Urban Traffic Congestion Identification". Advanced Materials Research 926-930 (maj 2014): 3204–7. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3204.
Pełny tekst źródłaKumari, R. Sandhya, i Ashok D. Hanjagi. "An analysis of traffic congestion zones along Mysore road, Bangalore". Geo Eye 7, nr 2 (15.12.2018): 4–6. http://dx.doi.org/10.53989/bu.ge.v7i2.2.
Pełny tekst źródłaS, Sneha, Sriranjini S, Himasai T i Balaji M. "IoT Based Traffic Congestion Management and Accident Detection System". Journal of Electrical Engineering and Automation 6, nr 1 (marzec 2024): 63–71. http://dx.doi.org/10.36548/jeea.2024.1.005.
Pełny tekst źródłaZhao, Xueting, Liwei Hu, Xingzhong Wang i Jiabao Wu. "Study on Identification and Prevention of Traffic Congestion Zones Considering Resilience-Vulnerability of Urban Transportation Systems". Sustainability 14, nr 24 (16.12.2022): 16907. http://dx.doi.org/10.3390/su142416907.
Pełny tekst źródłaQin, Jiayu, Gang Mei i Lei Xiao. "Building the Traffic Flow Network with Taxi GPS Trajectories and Its Application to Identify Urban Congestion Areas for Traffic Planning". Sustainability 13, nr 1 (30.12.2020): 266. http://dx.doi.org/10.3390/su13010266.
Pełny tekst źródłaZhang, Sen, Yong Yao, Jie Hu, Yong Zhao, Shaobo Li i Jianjun Hu. "Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks". Sensors 19, nr 10 (14.05.2019): 2229. http://dx.doi.org/10.3390/s19102229.
Pełny tekst źródłaFan, Dandan, Dawei Li, Fangzheng Cheng i Guanghua Fu. "Effects of congestion charging and subsidy policy on vehicle flow and revenue with user heterogeneity". Mathematical Biosciences and Engineering 20, nr 7 (2023): 12820–42. http://dx.doi.org/10.3934/mbe.2023572.
Pełny tekst źródłaNguyen, Duc-Binh, Chyi-Ren Dow i Shiow-Fen Hwang. "An Efficient Traffic Congestion Monitoring System on Internet of Vehicles". Wireless Communications and Mobile Computing 2018 (2018): 1–17. http://dx.doi.org/10.1155/2018/9136813.
Pełny tekst źródłaRAJA, Dr V. SAI SHANMUGA, Dr G. GUNASEKARAN i CHINCHU NAIR. "OPTIMAL TRAFFIC CONTROL SYSTEM FOR TRAFFIC CONGESTION". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, nr 03 (13.03.2024): 1–11. http://dx.doi.org/10.55041/ijsrem29177.
Pełny tekst źródłaPatel, Nilanchal, i Alok Bhushan Mukherjee. "Assessment of network traffic congestion through Traffic Congestability Value (TCV): a new index". Bulletin of Geography. Socio-economic Series 30, nr 30 (1.12.2015): 123–34. http://dx.doi.org/10.1515/bog-2015-0039.
Pełny tekst źródłaGu, Yuan Li, Xiao Qian Yan i Jing Yi Wu. "Spatial and Temporal Characteristics for Traffic Congestion Based on Microwave Data". Advanced Materials Research 838-841 (listopad 2013): 2107–12. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.2107.
Pełny tekst źródłaKadkhodaei, Masoud, i Rouzbeh Shad. "Analysis and Evaluation of Traffic Congestion Control Methods in Touristic Metropolis Using Analytical Hierarchy Process (AHP)". Civil Engineering Journal 4, nr 3 (7.04.2018): 602. http://dx.doi.org/10.28991/cej-0309119.
Pełny tekst źródłaZhang, Wei, Guozhen Tan, Nan Ding i Guangyuan Wang. "Traffic Congestion Evaluation and Signal Control Optimization Based on Wireless Sensor Networks: Model and Algorithms". Mathematical Problems in Engineering 2012 (2012): 1–17. http://dx.doi.org/10.1155/2012/573171.
Pełny tekst źródłaMusri S, M. Ali, Siti Fatimah i Saiful Anwar Matondang. "Simulation Model to Reduce the Traffic Jams with a Stochastic Program". WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 18 (7.01.2022): 37–41. http://dx.doi.org/10.37394/232015.2022.18.5.
Pełny tekst źródłaZhang, Wenjing. "Countermeasures for Urban Traffic Congestion in China from the Perspective of System Dynamics". Computational Intelligence and Neuroscience 2022 (24.03.2022): 1–15. http://dx.doi.org/10.1155/2022/3509902.
Pełny tekst źródłaISMIRANTI, NI WAYAN NINING, I. PUTU EKA N. KENCANA i I. KOMANG GDE SUKARSA. "ANALISIS PRIORITAS SOLUSI KEMACETAN LALU LINTAS DI KOTA DENPASAR DENGAN MENGGUNAKAN METODE ANALYTIC NETWORK PROCESS". E-Jurnal Matematika 5, nr 1 (30.01.2016): 7. http://dx.doi.org/10.24843/mtk.2016.v05.i01.p114.
Pełny tekst źródłaWang, Li, Shimin Lin, Jingfeng Yang, Nanfeng Zhang, Ji Yang, Yong Li, Handong Zhou, Feng Yang i Zhifu Li. "Dynamic Traffic Congestion Simulation and Dissipation Control Based on Traffic Flow Theory Model and Neural Network Data Calibration Algorithm". Complexity 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/5067145.
Pełny tekst źródłaKou, Wei, i Lin Cheng. "Research on the Urban Transportation Development in Our Country Based on the Traffic Congestion Pricing". Applied Mechanics and Materials 97-98 (wrzesień 2011): 1032–37. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.1032.
Pełny tekst źródłaLi, Linxin, Shuo Zhao i Cong Chu. "Analysis of Congestion Problems at Green Dream Roundabout Intersection in Yubei District". Journal of Innovation and Development 5, nr 3 (20.12.2023): 76–78. http://dx.doi.org/10.54097/h2n1l8wc.
Pełny tekst źródłaYang, Shuxia, Yu Ji, Di Zhang i Jing Fu. "Equilibrium between Road Traffic Congestion and Low-Carbon Economy: A Case Study from Beijing, China". Sustainability 11, nr 1 (4.01.2019): 219. http://dx.doi.org/10.3390/su11010219.
Pełny tekst źródłaMahapatra, Sarita, Krishna Chandra Rath i Srikanta Pattnaik. "Regression based neural network model for prediction of road traffic congestion : A case study of Bhubaneswar". Journal of Statistics & Management Systems 26, nr 1 (2023): 107–16. http://dx.doi.org/10.47974/jsms-951.
Pełny tekst źródłaMemon, Tarique Rafique, Nisar Ahmed, Abdul Karim, Ahmed Ali i Waris Gul Memon. "Traffic Congestion Alert System using GSM". Journal of Applied Engineering & Technology (JAET) 1, nr 1 (31.12.2017): 22–26. http://dx.doi.org/10.55447/jaet.01.01.42.
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