المؤلفون: Siqing Zhuang, Yong Shen, Zhexue Xie, Zhiyuan Xu, Yihua Liu

المصدر: Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1798 (2024)

مصطلحات موضوعية: waterway traffic stream, definition of traffic flow characteristics, fundamental diagram, vessel displacement, Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2077-1312/12/10/1798; https://doaj.org/toc/2077-1312

URL الوصول: https://doaj.org/article/cc63030c26354a33825f84146f93c9a0

المؤلفون: Popov, Stanislav

المصدر: AUTOMOBILE ROADS AND ROAD CONSTRUCTION, 1(115), 41-48, (2024-04-02)

مصطلحات موضوعية: traffic flow characteristics, accident rates, intersection analysis, street network, traffic safety, bus route planning

Relation: oai:zenodo.org:13897220

الاتاحة: https://doi.org/10.33744/0365-8171-2024-115.1-041-048

المؤلفون: Ren, Q, He, J, Liu, Z, Xu, M

المساهمون: Department of Industrial and Systems Engineering

مصطلحات موضوعية: Downstream area of toll station, Traffic conflicts, Traffic flow characteristics, Traffic safety, Vehicle trajectory data extraction

Relation: http://hdl.handle.net/10397/107289; 10; 2-s2.0-85193076678; 100138; a2804a; 48421

الاتاحة: http://hdl.handle.net/10397/107289
https://doi.org/10.1016/j.eastsj.2024.100138

المؤلفون: Xiaoyue Wen, Dianhai Wang, Sheng Jin, Guomin Qian, Yixuan Zhu

المصدر: Sustainability, Vol 15, Iss 14874, p 14874 (2023)

مصطلحات موضوعية: long arterial, signal coordination, arterial partition, traffic flow characteristics, collaborative optimization, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/15/20/14874; https://doaj.org/toc/2071-1050; https://doaj.org/article/3311b0f6d5c545e791c4192d27346786

الاتاحة: https://doi.org/10.3390/su152014874
https://doaj.org/article/3311b0f6d5c545e791c4192d27346786

المؤلفون: Haining Luo, Yongsheng Qian, Junwei Zeng, Xuting Wei, Futao Zhang, Zhaopeng Wu, Haijun Li

المصدر: Symmetry, Vol 15, Iss 12, p 2164 (2023)

مصطلحات موضوعية: Connected and Autonomous Vehicle Platoons, heterogeneous traffic flow, cellular automata model, permeability, traffic flow characteristics, Mathematics, QA1-939

Relation: https://www.mdpi.com/2073-8994/15/12/2164; https://doaj.org/toc/2073-8994; https://doaj.org/article/bfc6e804e14f4ab08d082828e13f5f2f

الاتاحة: https://doi.org/10.3390/sym15122164
https://doaj.org/article/bfc6e804e14f4ab08d082828e13f5f2f

المؤلفون: Bing Yang, Yan Kang, Hao Li, Yachuan Zhang, Yan Yang, Lan Zhang

المصدر: IET Intelligent Transport Systems, Vol 14, Iss 5, Pp 313-322 (2020)

مصطلحات موضوعية: crowd flow prediction, deep learning methods, traffic flow characteristics, traffic trajectory, traffic duration, inverted residual convolution structures, Transportation engineering, TA1001-1280, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1751-956X; https://doaj.org/toc/1751-9578

URL الوصول: https://doaj.org/article/6884f6d362dc481bb54c6f1d6f33a9d2

المؤلفون: Ahmad, Rayan Raees, Rathore, Richika

المصدر: International Journal of Innovative Research in Engineering & Management; Vol. 9 No. 6 (2022): International Journal of Innovative Research in Engineering & Management (Dec) 2022; 98-106 ; 2350-0557

مصطلحات موضوعية: Traffic Flow Modelling, Traffic Stream Modelling, Traffic Flow Characteristics, Traffic Parameters, Heterogeneous Traffic Conditions, Regression Analysis

وصف الملف: application/pdf

Relation: https://acspublisher.com/journals/index.php/ijirem/article/view/10677/9732; https://acspublisher.com/journals/index.php/ijirem/article/view/10677

الاتاحة: https://acspublisher.com/journals/index.php/ijirem/article/view/10677

المؤلفون: A. P. Zhigadlo, S. V. Dorokhin, D. V. Likhachev

المصدر: Вестник СибАДИ, Vol 16, Iss 4, Pp 432-445 (2019)

مصطلحات موضوعية: traffic light regulation, traffic flow characteristics, left turn specialization, efficiency., Transportation engineering, TA1001-1280

وصف الملف: electronic resource

Relation: https://vestnik.sibadi.org/jour/article/view/910; https://doaj.org/toc/2071-7296; https://doaj.org/toc/2658-5626

URL الوصول: https://doaj.org/article/cc99b0d2b0dd4b368718a029a538552b

المؤلفون: Steve Fotios (8850071), Chloe Jade Robbins (11474473)

مصطلحات موضوعية: Urban and Regional Planning not elsewhere classified, operations, traffic flow theory, traffic flow characteristics, traffic flow, pedestrians, bicycles, human factors, human factors of infrastructure design and operations, lighting, safety, motorcycles, mopeds, pedestrian safety, bicyclist safety

Relation: https://figshare.com/articles/journal_contribution/sj-docx-1-trr-10_1177_03611981211044469_Supplemental_material_for_Effect_of_Ambient_Light_on_the_Number_of_Motorized_Vehicles_Cyclists_and_Pedestrians/16674544

الاتاحة: https://doi.org/10.25384/sage.16674544.v1

المؤلفون: Tsutomu Tsuboi

المصدر: Infrastructures; Volume 6; Issue 3; Pages: 38

مصطلحات موضوعية: traffic flow analysis, traffic congestion, fundamental traffic flow characteristics

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/infrastructures6030038

الاتاحة: https://doi.org/10.3390/infrastructures6030038

المؤلفون: Minhua Shao, Congcong Xie, Lijun Sun, Xiaomin Wan, Zhang Chen

المصدر: Sustainability; Volume 11; Issue 12; Pages: 3247

مصطلحات موضوعية: intelligent transportation systems, traffic safety, urban underground expressway, traffic flow characteristics, left-side on-ramp, ramp metering

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Sustainable Transportation; https://dx.doi.org/10.3390/su11123247

الاتاحة: https://doi.org/10.3390/su11123247

المؤلفون: Chen Chen, Xiaohua Zhao, Hao Liu, Guichao Ren, Yunlong Zhang, Xiaoming Liu

المصدر: Sustainability; Volume 11; Issue 3; Pages: 830

مصطلحات موضوعية: adverse weather, driving simulator, traffic simulation, traffic flow characteristics

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Sustainable Transportation; https://dx.doi.org/10.3390/su11030830

الاتاحة: https://doi.org/10.3390/su11030830

المؤلفون: Rao, Amudapuram Mohan, Rao, K Ramachandra

المصدر: Periodica Polytechnica Transportation Engineering; Vol. 43 No. 3 (2015); 111-119 ; 1587-3811 ; 0303-7800

مصطلحات موضوعية: Free speed, friction factors, traffic flow characteristics, data processing

وصف الملف: application/pdf

Relation: https://pp.bme.hu/tr/article/view/7599/6774; https://pp.bme.hu/tr/article/view/7599

الاتاحة: https://pp.bme.hu/tr/article/view/7599

المؤلفون: Hideo SAWADA, Katsuhiro IIDA, Masahiro TADA, Sihyoung AN, Tomohiro CHIKUGO, Yasuaki WADASAKI, Yasunori KINOSADA, 和田﨑 泰明, 多田 昌裕, 安 時亨, 澤田 英郎, 筑後 智弘, 紀ノ定 保礼, 飯田 克弘

المصدر: 交通工学論文集 / JSTE Journal of Traffic Engineering. 2018, 4(1)238

المؤلفون: Gunes, F., Bayrakli, S., Zaim, Abdül Halim

المساهمون: İstanbul Ticaret Üniversitesi

مصطلحات موضوعية: distribution of data, Queueing theory, signalized intersections, traffic flow characteristics, waiting lines, info

Relation: http://hdl.handle.net/11467/4508

الاتاحة: http://hdl.handle.net/11467/4508

المؤلفون: Gostiša, Andraž

المساهمون: Ambrož, Miha

مصطلحات موضوعية: microwave detector, C-ITS (Cooperative Intelligent Transport Systems), karakteristike prometnega toka, udc:531.76:004.451.622:656(043.2), speed measurement, identifikacija vozil, traffic flow, mikrovalovni detektor, merjenje hitrosti, vehicle identification, CAM sporočila, C-ITS (kooperativni inteligentni transportni sistem), CAM messages, traffic flow characteristics

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3505::7e32e72944ce03da7cf9e512dfb9336c
https://hdl.handle.net/20.500.12556/RUL-119610

المؤلفون: Ke, Ruimin, Feng, Shuo, Cui, Zhiyong, Wang, Yinhai

مصطلحات موضوعية: microscopic lane‐level macroscopic traffic parameters estimation, modern traffic sensing research, UAV‐based traffic sensing, aggregated macroscopic traffic data, higher‐resolution traffic data, traffic patterns, traffic flow characteristics, real‐world UAV video data, advanced traffic management, UAV video features, (B6135) Optical, image and video signal processing, (C3390C) Mobile robots, (C5260B) Computer vision and image processing techniques, (C5260D) Video signal processing, (C7445) Traffic engineering computing, parameter estimation, autonomous aerial vehicles, road vehicles, road traffic, object detection, traffic engineering computing, video signal processing, robot vision, advanced traffic sensing, aggregated macroscopic traffic parameters, Computer Science, Engineering

وصف الملف: application/pdf

Relation: Ke, Ruimin; Feng, Shuo; Cui, Zhiyong; Wang, Yinhai (2020). "Advanced framework for microscopic and lane‐level macroscopic traffic parameters estimation from UAV video." IET Intelligent Transport Systems 14(7): 724-734.; https://hdl.handle.net/2027.42/166282; https://dx.doi.org/10.7302/205; IET Intelligent Transport Systems; Teutsch M. Krüger W.: ‘ Detection, segmentation, and tracking of moving objects in UAV videos ’. 2012 IEEE Ninth Int. Conf. on Advanced Video and Signal‐Based Surveillance, Beijing, people’s Republic of China, 2012, pp. 313 – 318; Barmpounakis E.N. Vlahogianni E.I. Golias J.C.: ‘ Unmanned aerial aircraft systems for transportation engineering: current practice and future challenges ’, Int. J. Transp. Sci. Technol., 2016, 5, ( 3 ), pp. 111 – 122; Kanistras K. Martins G. Rutherford M.J. et al.: ‘ Survey of unmanned aerial vehicles (UAVs) for traffic monitoring ’, in Valavanis Kimon P. Vachtsevanos George J. (Eds.): ‘ Handbook of unmanned aerial vehicles ’ ( Springer, USA 2015 ), pp. 2643 – 2666; Du Y. Zhao C. Li F. et al.: ‘ An open data platform for traffic parameters measurement via multirotor unmanned aerial vehicles video ’, J. Adv. Transp., 2017, 2017, pp. 1 – 12; Coifman B. McCord M. Mishalani R.G. et al.: ‘ Surface transportation surveillance from unmanned aerial vehicles ’. Proc. of the 83rd Annual Meeting of the Transportation Research Board, Washington, DC, USA, 2004; Angel A. Hickman M. Mirchandani P. et al.: ‘ Methods of analyzing traffic imagery collected from aerial platforms ’, IEEE Trans. Intell. Transp. Syst., 2003, 4, ( 2 ), pp. 99 – 107; Zhou H. Kong H. Wei L. et al.: ‘ Efficient road detection and tracking for unmanned aerial vehicle ’, IEEE Trans. Intell. Transp. Syst., 2015, 16, ( 1 ), pp. 297 – 309; Freeman B.S. Al Matawah J.A. Al Najjar M. et al.: ‘ Vehicle stacking estimation at signalized intersections with unmanned aerial systems ’, Int. J. Transp. Sci. Technol., 2019, 8, pp. 231 – 249; Ke R. Lutin J. Spears J. et al.: ‘ A cost‐effective framework for automated vehicle‐pedestrian near‐miss detection through onboard monocular vision ’. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition Workshops, Honolulu, HI, USA, 2017; Ke R. Pan Z. Pu Z. et al.: ‘ Roadway surveillance video camera calibration using standard shipping container ’. 2017 Int. Smart Cities Conf. (ISC2), Wuxi, People’s Republic of China, 2017, pp. 1 – 6; McCord M. Yang Y. Jiang Z. et al.: ‘ Estimating annual average daily traffic from satellite imagery and air photos: empirical results ’, Transp. Res. Rec. J. Transp. Res. Board, 2003, 1855, pp. 136 – 142; Salvo G. Caruso L. Scordo A.: ‘ Urban traffic analysis through an UAV ’, Proc. Soc. Behav. Sci., 2014, 111, pp. 1083 – 1091; Khan M.A. Ectors W. Bellemans T. et al.: ‘ Unmanned aerial vehicle–based traffic analysis: methodological framework for automated multivehicle trajectory extraction ’, Transp. Res. Rec. J. Transp. Res. Board, 2017, 2626, pp. 25 – 33; Kaufmann S. Kerner B.S. Rehborn H. et al.: ‘ Aerial observations of moving synchronized flow patterns in over‐saturated city traffic ’, Transp. Res. C, Emerg. Technol., 2018, 86, pp. 393 – 406; Cao X. Wu C. Lan J. et al.: ‘ Vehicle detection and motion analysis in low‐altitude airborne video under urban environment ’, IEEE Trans. Circuits Syst. Video Technol., 2011, 21, ( 10 ), pp. 1522 – 1533; Ammour N. Alhichri H. Bazi Y. et al.: ‘ Deep learning approach for car detection in UAV imagery ’, Remote Sens., 2017, 9, ( 4 ), p. 312; Xu Y. Yu G. Wu X. et al.: ‘ An enhanced Viola‐Jones vehicle detection method from unmanned aerial vehicles imagery ’, IEEE Trans Intell. Transp. Syst., 2017, 18, ( 7 ), pp. 1845 – 1856; Shastry A.C. Schowengerdt R.A.: ‘ Airborne video registration and traffic‐flow parameter estimation ’, IEEE Trans. Intell. Transp. Syst., 2005, 6, ( 4 ), pp. 391 – 405; Cao X. Gao C. Lan J. et al.: ‘ Ego motion guided particle filter for vehicle tracking in airborne videos ’, Neurocomputing, 2014, 124, pp. 168 – 177; Ke R. Kim S. Li Z. et al.: ‘ Motion‐vector clustering for traffic speed detection from UAV video ’. 2015 IEEE First Int. Smart Cities Conf. (ISC2), Guadalajara, Mexico, 2015, pp. 1 – 5; Ke R.: ‘ A novel framework for real‐time traffic flow parameter estimation from aerial videos ’. 2016; Ke R. Li Z. Kim S. et al.: ‘ Real‐time bidirectional traffic flow parameter estimation from aerial videos ’, IEEE Trans. Intell. Transp. Syst., 2017, 18, ( 4 ), pp. 890 – 901; Chen P. Zeng W. Yu G. et al.: ‘ Surrogate safety analysis of pedestrian‐vehicle conflict at intersections using unmanned aerial vehicle videos ’, J. Adv. Transp., 2017, 2017, pp. 1 – 12; Ke R. Li Z. Tang J. et al.: ‘ Real‐time traffic flow parameter estimation from UAV video based on ensemble classifier and optical flow ’, IEEE Trans. Intell. Transp. Syst., 2018, 99, pp. 1 – 11; Li J. Chen S. Zhang F. et al.: ‘ An adaptive framework for multi‐vehicle ground speed estimation in airborne videos ’, Remote Sens., 2019, 11, ( 10 ), p. 1241; Barmpounakis E.N. Vlahogianni E.I. Golias J.C. et al.: ‘ How accurate are small drones for measuring microscopic traffic parameters? ’, Transp. Lett., 2019, 11, pp. 332 – 340; Kim E.‐J. Park H.‐C. Ham S.‐W. et al.: ‘ Extracting vehicle trajectories using unmanned aerial vehicles in congested traffic conditions ’, J. Adv. Transp., 2019, 2019, 16 pages; Feng S. Wang X. Sun H. et al.: ‘ A better understanding of long‐range temporal dependence of traffic flow time series ’, Phys. A Stat. Mech. Appl., 2018, 492, pp. 639 – 650; Rodríguez‐Canosa G.R. Thomas S. Del Cerro J. et al.: ‘ A real‐time method to detect and track moving objects (DATMO) from unmanned aerial vehicles (UAVs) using a single camera ’, Remote Sens., 2012, 4, ( 4 ), pp. 1090 – 1111; Tsao P. Ik T.‐U. Chen G.‐W. et al.: ‘ Stitching aerial images for vehicle positioning and tracking ’. 2018 IEEE Int. Conf. on Data Mining Workshops (ICDMW), Singapore, 2018, pp. 616 – 623; Breckon T.P. Barnes S.E. Eichner M.L. et al.: ‘ Autonomous real‐time vehicle detection from a medium‐level UAV ’. Proc. 24th Int. Conf. on Unmanned Air Vehicle Systems, Bristol, UK, 2009, pp. 21 – 29; Gomaa A. Abdelwahab M.M. Abo‐Zahhad M.: ‘ Real‐time algorithm for simultaneous vehicle detection and tracking in aerial view videos ’. 2018 IEEE 61st Int. Midwest Symp. on Circuits and Systems (MWSCAS), Windsor, Canada, 2018, pp. 222 – 225; Najiya K.V Archana M.: ‘ UAV video processing for traffic surveillance with enhanced vehicle detection ’. 2018 Second Int. Conf. on Inventive Communication and Computational Technologies (ICICCT), Coimbatore, India, 2018, pp. 662 – 668; Li J. Ye D.H. Chung T. et al.: ‘ Multi‐target detection and tracking from a single camera in unmanned aerial vehicles (UAVs) ’. 2016 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Daejeon, Republic of Korea, 2016, pp. 4992 – 4997; Carletti V. Greco A. Saggese A. et al.: ‘ Multi‐object tracking by flying cameras based on a forward‐backward interaction ’, IEEE Access, 2018, 6, pp. 43905 – 43919; Du D. Qi Y. Yu H. et al.: ‘ The unmanned aerial vehicle benchmark: object detection and tracking ’. Proc. of the European Conf. on Computer Vision (ECCV), Munich, Germany, 2018, pp. 370 – 386; Khan M. Ectors W. Bellemans T. et al.: ‘ Unmanned aerial vehicle‐based traffic analysis: a case study for shockwave identification and flow parameters estimation at signalized intersections ’, Remote Sens., 2018, 10, ( 3 ), p. 458; Zhu J. Sun K. Jia S. et al.: ‘ Urban traffic density estimation based on ultrahigh‐resolution UAV video and deep neural network ’, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 2018, 11, ( 12 ), pp. 4968 – 4981; Bewley A. Ge Z. Ott L. et al.: ‘ Simple online and realtime tracking ’. 2016 IEEE Int. Conf. on Image Processing (ICIP), Phoenix, AZ, USA, 2016, pp. 3464 – 3468; Lucas B.D. Kanade T. et al.: ‘ An iterative image registration technique with an application to stereo vision ’, 1981; Canny J.: ‘ A computational approach to edge detection ’, IEEE Trans. Pattern Anal. Mach. Intell., 1986, PAMI‐8, ( 6 ), pp. 679 – 698; Duda R.O. Hart P.E.: ‘ Use of the Hough transformation to detect lines and curves in pictures ’, 1971; Ester M. Kriegel H.‐P. Sander J. et al.: ‘ A density‐based algorithm for discovering clusters in large spatial databases with noise ’. Knowledge Discovery and Data Mining (KDD), Portland, OR, USA, 1996, pp. 226 – 231

الاتاحة: https://hdl.handle.net/2027.42/166282
https://doi.org/10.1049/iet-its.2019.0463
https://doi.org/10.7302/205

المؤلفون: Gostiša, Andraž

المساهمون: Ambrož, Miha

مصطلحات موضوعية: mikrovalovni detektor, C-ITS (kooperativni inteligentni transportni sistem), CAM sporočila, merjenje hitrosti, karakteristike prometnega toka, identifikacija vozil, microwave detector, C-ITS (Cooperative Intelligent Transport Systems), CAM messages, speed measurement, traffic flow, traffic flow characteristics, vehicle identification, info:eu-repo/classification/udc/531.76:004.451.622:656(043.2)

وصف الملف: application/pdf

Relation: https://repozitorij.uni-lj.si/IzpisGradiva.php?id=119610; https://repozitorij.uni-lj.si/Dokument.php?id=134335&dn=; https://plus.si.cobiss.net/opac7/bib/30507267?lang=sl

الاتاحة: https://repozitorij.uni-lj.si/IzpisGradiva.php?id=119610
https://repozitorij.uni-lj.si/Dokument.php?id=134335&dn=
https://plus.si.cobiss.net/opac7/bib/30507267?lang=sl

المؤلفون: George C. P. Tsai, Hsun-Jung Cho

المصدر: Journal of the Eastern Asia Society for Transportation Studies. 2005, 6:1570

المؤلفون: Masahiko KATAKURA

المصدر: Doboku Gakkai Ronbunshu. 1992, 1991(440):33