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Статті в журналах з теми "Traffic safety Data processing"
Wiwik, Budiawan, Singgih Saptadi, and Ary Arvianto. "The Development of Data Warehouse to Support Data Mining Technique for Traffic Accident Prediction." E3S Web of Conferences 73 (2018): 12007. http://dx.doi.org/10.1051/e3sconf/20187312007.
Повний текст джерелаSun, Yuan, Hao Xu, Jianqing Wu, Jianying Zheng, and Kurt M. Dietrich. "3-D Data Processing to Extract Vehicle Trajectories from Roadside LiDAR Data." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 45 (June 8, 2018): 14–22. http://dx.doi.org/10.1177/0361198118775839.
Повний текст джерелаCai, Xiaoyu, Cailin Lei, Bo Peng, Xiaoyong Tang, and Zhigang Gao. "Road Traffic Safety Risk Estimation Method Based on Vehicle Onboard Diagnostic Data." Journal of Advanced Transportation 2020 (February 26, 2020): 1–13. http://dx.doi.org/10.1155/2020/3024101.
Повний текст джерелаZhang, Qiuchen, Zhen Yang, and Dazhi Sun. "Automated Data Collection and Safety Analysis at Intersections Based on a Novel Video Processing System." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 4 (April 2019): 136–44. http://dx.doi.org/10.1177/0361198119838979.
Повний текст джерелаB, Moh Baktiar, St Maryam, and Lambang Basri Said. "Moderasi Variabel Penegakan Hukum Berlalulintas Terhadap Pengaruh Disiplin Dan Keselamatan Berlalu Lintas Di Kabupaten Pinrang." INTEK: Jurnal Penelitian 6, no. 1 (May 25, 2019): 52. http://dx.doi.org/10.31963/intek.v6i1.1125.
Повний текст джерелаDyduch, Janusz, and Mieczysław Kornaszewski. "Selection of exploitation data from railway traffic control devices for the purposes of gathering and analyzing data processes from railway transport objects." Transportation Overview - Przeglad Komunikacyjny 2019, no. 5 (May 1, 2019): 43–53. http://dx.doi.org/10.35117/a_eng_19_05_04.
Повний текст джерелаBui, Ngoc Dung, Dinh Tran Ngoc Huy, and Tuan Thanh Nguyen. "Application of traffic conflict technique for traffic safety evaluation at intersection based on image processing." LAPLAGE EM REVISTA 7, no. 3A (September 2, 2021): 134–42. http://dx.doi.org/10.24115/s2446-6220202173a1379p.134-142.
Повний текст джерелаKim and Lee. "Adaptive Information Visualization for Maritime Traffic Stream Sensor Data with Parallel Context Acquisition and Machine Learning." Sensors 19, no. 23 (November 29, 2019): 5273. http://dx.doi.org/10.3390/s19235273.
Повний текст джерелаII Kim, Kwang, Keon Myung Lee, and Jang Young Ahn. "Methods of ship trajectory data processing for applying artificial neural network in port area." International Journal of Engineering & Technology 7, no. 2.12 (April 3, 2018): 145. http://dx.doi.org/10.14419/ijet.v7i2.12.11112.
Повний текст джерелаKim, Yonghoon, Jun-Ho Huh, and Mokdong Chung. "Traffic Inference System Using Correlation Analysis with Various Predicted Big Data." Electronics 10, no. 3 (February 2, 2021): 354. http://dx.doi.org/10.3390/electronics10030354.
Повний текст джерелаДисертації з теми "Traffic safety Data processing"
Chisalita, Ioan. "Communication and Networking Techniques for Traffic Safety Systems." Doctoral thesis, Linköping : Department of Computer and Information Science, Linköpings universitet, 2006. http://www.bibl.liu.se/liupubl/disp/disp2006/tek1018s.pdf.
Повний текст джерелаDickinson, Keith William. "Traffic data capture and analysis using video image processing." Thesis, University of Sheffield, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306374.
Повний текст джерела賴翰笙 and Hon-seng Lai. "An effective methodology for visual traffic surveillance." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B30456708.
Повний текст джерелаSo, Wai-ki, and 蘇慧琪. "Shadow identification in traffic video sequences." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B32045967.
Повний текст джерелаBoonsiripant, Saroch. "Speed profile variation as a surrogate measure of road safety based on GPS-equipped vehicle data." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/28275.
Повний текст джерелаCommittee Chair: Hunter, Michael; Committee Member: Dixon, Karen; Committee Member: Guensler, Randall; Committee Member: Rodgers, Michael; Committee Member: Tsui, Kwok-Leung.
Goulet, Dennis A., Joseph McMorrow, G. Edward Roberts, and Robert Lynch. "VESSEL TRAFFIC MANAGEMENT SYSTEM A Test Technology Development and Demonstration Project." International Foundation for Telemetering, 1997. http://hdl.handle.net/10150/607390.
Повний текст джерелаThe Vessel Traffic Management System is a cooperative effort of the Naval Undersea Warfare Center and the Naval Air Warfare Center Aircraft Division, funded by the OSD's Test Technology Development and Demonstration Program. The project is establishing the capability to acquire ship tracking information from numerous sources (GPS and radar target extractors), and combine them into a comprehensive, integrated view of the range safety target area. The consolidated tracking information will be transmitted to range safety vessel personnel and presented on portable display systems to aid in clearing the surveillance area of unauthorized vessels. The communications module is media independent in that positional and image data can be routed via RF modem, cellular phone, Intranet or Internet, singly or in any combination. The software systems for data acquisition, display and control are also platform independent, with the system under development operating under WindowsNT and Windows95. Additionally, the use of Java and VRML tools permits a user to display data (including three dimensional presentations of the data) without requiring the applications software. This system has numerous applications including range safety, commercial vessel traffic management, port authority and services monitoring, and oceanographic data gathering.
Craig, David W. (David William) Carleton University Dissertation Engineering Electrical. "Light traffic loss of random hard real-time tasks in a network." Ottawa, 1988.
Знайти повний текст джерелаMollet, C. J. "The analysis of road traffic accident data in the implementation of road safety remedial programmes." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52483.
Повний текст джерелаENGLISH ABSTRACT: A road safety remedial programme has as an objective the improvement of road transportation safety by applying road safety engineering remedial measures to hazardous road network elements in a manner that will be economically efficient. Since accident data is the primary manifestation of poor safety levels it must be analysed in manner that will support the overall objective of economic efficiency. Three steps in the process of implementing a road safety remedial programme, that rely on the systematic analysis of accident data, are the identification of hazardous locations, the ranking of hazardous locations and the evaluation of remedial measure effectiveness. The efficiency of a road safety remedial programme can be enhanced by using appropriate methodologies to measure safety, identify and rank hazardous locations and to determine the effectiveness of road safety remedial measures. There are a number of methodologies available to perform these tasks, although some perform much better than other. Methodologies based on the Empirical Bayesian approach generally provide better results than the Conventional methods. Bayesian methodologies are not often used in South Africa. To do so would require the additional training of students and engineering professionals as well as more research by tertiary and other research institutions. The efficiency of a road safety remedial programme can be compromised by using poor quality accident data. In South Africa the quality of accident data is generally poor and should more attention be given to the proper management and control of accident data. This thesis will report on, investigate and evaluate Bayesian and Conventional accident data analysis methodologies.
AFRIKAANSE OPSOMMING: Die doel van 'n padveiligheidsverbeteringsprogram is om op die mees koste effektiewe manier die veiligheid van onveilige padnetwerkelemente te verbeter deur die toepassing van ingenieursmaatreëls. Aangesien padveiligheid direk verband hou met verkeersongelukke vereis die koste effektiewe implementering van 'n padveiligheidsverbeteringsprogram die doelgerigte en korrekte ontleding van ongeluksdata. Om 'n padveiligheidsverbeteringsprogram te implementeer word die ontleding van ongeluksdata verlang vir die identifisering en priortisering van gevaarkolle, sowel as om die effektiwiteit van verbeteringsmaatreëls te bepaal. Die koste effektiwiteit van 'n padveiligheidsverbeteringsprogram kan verbeter word deur die regte metodes te kies om padveiligheid te meet, gevaarkolle te identifiseer en te prioritiseer en om die effektiwiteit van verbeteringsmaatreëls te bepaal. Daar is verskeie metodes om hierdie ontledings te doen, alhoewel sommige van die metodes beter is as ander. Die 'Bayesian' metodes lewer oor die algemeen beter resultate as die gewone konvensionele metodes. 'Bayesian' metodes word nie. in Suid Afrika toegepas nie. Om dit te doen sal addisionele opleiding van studente en ingenieurs vereis, sowel as addisionele navorsing deur universiteite en ander navorsing instansies. Die gebruik van swak kwaliteit ongeluksdata kan die integriteit van 'n padveiligheidsverbeteringsprogram benadeel. Die kwaliteit van ongeluksdata in Suid Afrika is oor die algemeen swak en behoort meer aandag gegee te word aan die bestuur en kontrole van ongeluksdata. Die doel van hierdie tesis is om verslag te doen oor 'Bayesian' en konvensionele metodes wat gebruik kan word om ongeluksdata te ontleed, dit te ondersoek en te evalueer.
Popescu, Vlad M. "Airspace analysis and design by data aggregation and lean model synthesis." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49126.
Повний текст джерелаAgafonov, Evgeny. "Fuzzy and multi-resolution data processing for advanced traffic and travel information." Thesis, Nottingham Trent University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271790.
Повний текст джерелаКниги з теми "Traffic safety Data processing"
Ogle, Jennifer Harper. Technologies for improving safety data. Washington, D.C: Transportation Research Board, 2007.
Знайти повний текст джерелаVira, Carol. The data-smart manual: Use and analysis of data for local highway and traffic safety programs. [Washington, DC]: The Administration, 1999.
Знайти повний текст джерелаNational Center for Statistics and Analysis (U.S.), Rainbow Technology Inc, and United States. National Highway Traffic Safety Administration., eds. The data-smart manual: Use and analysis of data for local highway and traffic safety programs. [Washington, DC]: The Administration, 1999.
Знайти повний текст джерелаVira, Carol. The data-smart manual: Use and analysis of data for local highway and traffic safety programs. [Washington, DC]: The Administration, 1999.
Знайти повний текст джерелаVira, Carol. The data-smart manual: Use and analysis of data for local highway and traffic safety programs. [Washington, DC]: The Administration, 1999.
Знайти повний текст джерелаVira, Carol. The data-smart manual: Use and analysis of data for local highway and traffic safety programs. [Washington, DC]: The Administration, 1999.
Знайти повний текст джерелаVira, Carol. The data-smart manual: Use and analysis of data for local highway and traffic safety programs. [Washington, DC]: The Administration, 1999.
Знайти повний текст джерелаRutherford, G. Scott. Traffic and safety procedure: Project report on the safety and accident procedures : final report, Research Project Y3399, Task 27. [Olympia?, Wash.]: Washington State Dept. of Transportation, Planning, Research and Public Transportation Division in cooperation with the U.S. Dept. of Transportation, Federal Highway Administration, 1988.
Знайти повний текст джерелаDao lu jiao tong an quan zong he ping gu fang fa, shi xian ji shu yu ying yong. Beijing: Ke xue chu ban she, 2012.
Знайти повний текст джерелаFinison, Karl S. Standardized reporting using CODES (Crash Outcome Data Evaluation System). [Washington, D.C.]: U.S. Dept. of Transportation, National Highway Traffic Safety Administration, 2000.
Знайти повний текст джерелаЧастини книг з теми "Traffic safety Data processing"
Serrano, Maria A., Erez Hadad, Roberto Cavicchioli, Rut Palmero, Luca Chiantore, Danilo Amendola, and Eduardo Quiñones. "Distributed Big Data Analytics in a Smart City." In Technologies and Applications for Big Data Value, 475–96. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78307-5_21.
Повний текст джерелаMagnien, Airy, Gabriele Cecchetti, Anna Lina Ruscelli, Paul Hyde, Jin Liu, and Stefan Wegele. "Formalization and Processing of Data Requirements for the Development of Next Generation Railway Traffic Management Systems." In Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification, 35–45. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05814-1_3.
Повний текст джерелаKołodziej, Joanna, Cornelio Hopmann, Giovanni Coppa, Daniel Grzonka, and Adrian Widłak. "Intelligent Transportation Systems – Models, Challenges, Security Aspects." In Cybersecurity of Digital Service Chains, 56–82. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04036-8_3.
Повний текст джерелаAron, Maurice, Régine Seidowsky, and Simon Cohen. "Ex-ante Assessment of a Speed Limit Reducing Operation - A Data-driven Approach." In Traffic Safety, 177–98. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119307853.ch12.
Повний текст джерелаTarefder, Rafiqul, and James Brogan. "A Review of Statewide Traffic Data Collection, Processing, Projection and Quality Control." In Traffic Management, 1–18. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119307822.ch1.
Повний текст джерелаLai, Yi, Yuan Zheng, and Jiannong Cao. "Protocols for Traffic Safety Using Wireless Sensor Network." In Algorithms and Architectures for Parallel Processing, 37–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72905-1_4.
Повний текст джерелаMolnár, P., and T. R. Collins. "Traffic Data Collection Using Image Processing Technology." In Traffic and Granular Flow ’99, 357–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59751-0_35.
Повний текст джерелаGarcía-Dorado, José Luis, Felipe Mata, Javier Ramos, Pedro M. Santiago del Río, Victor Moreno, and Javier Aracil. "High-Performance Network Traffic Processing Systems Using Commodity Hardware." In Data Traffic Monitoring and Analysis, 3–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36784-7_1.
Повний текст джерелаFurutani, Nobuaki, Jun Kitazono, Seiichi Ozawa, Tao Ban, Junji Nakazato, and Jumpei Shimamura. "Adaptive DDoS-Event Detection from Big Darknet Traffic Data." In Neural Information Processing, 376–83. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26561-2_45.
Повний текст джерелаTrinh, Thong Duc, Dinh Khanh Nguyen Diep, and Vinh Dinh Nguyen. "Robust Median-Ternary Pattern for Traffic Light Detection." In Artificial Intelligence in Data and Big Data Processing, 485–94. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97610-1_38.
Повний текст джерелаТези доповідей конференцій з теми "Traffic safety Data processing"
S, Sushma, Swathi S, Tulasi G, Vinutha M, and Nandakumar A N. "Road Safety Surveillance and Intelligent Traffic Management System." In 3rd National Conference on Image Processing, Computing, Communication, Networking and Data Analytics. AIJR Publisher, 2018. http://dx.doi.org/10.21467/proceedings.1.3.
Повний текст джерелаJiang, Ruoxi, Shunying Zhu, Qiucheng Chen, Ji Qiu, and Pan Wang. "A New Method of Traffic Conflict Data Collection and Processing for Traffic Safety Evaluation." In 2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2020. http://dx.doi.org/10.1109/icmtma50254.2020.00180.
Повний текст джерелаFigueiras, Paulo, Ricardo Silva, André Ramos, Guilherme Guerreiro, Ruben Costa, and Ricardo Jardim-Goncalves. "Big Data Processing and Storage Framework for ITS: A Case Study on Dynamic Tolling." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-68069.
Повний текст джерелаFigueiras, Paulo, Hugo Antunes, Guilherme Guerreiro, Ruben Costa, and Ricardo Jardim-Gonçalves. "Visualisation and Detection of Road Traffic Events Using Complex Event Processing." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87909.
Повний текст джерелаSenel, Numan, Shrivatsa Udupa, and Gordon Elger. "Sensor Data Preprocessing in Road-Side Sensor Units." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2021-acm-120.
Повний текст джерелаSlavík, Martin, and Ondřej Vaculín. "Concept of Mission Control System for IN2Lab testing field for Automated Driving." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2021-acm-119.
Повний текст джерелаMueller, Simone, and Dieter Kranzlmueller. "Self-Organising Maps for Efficient Data Reduction and Visual Optimisation of Stereoscopic based Disparity Maps." In WSCG'2022 - 30. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2022. Západočeská univerzita, 2022. http://dx.doi.org/10.24132/csrn.3201.28.
Повний текст джерелаŽivković, Slavko, Ivan Barac, Patricia Živković, Ivan Pećina, and Bruno Brckan. "The impact of wildlife on railway track." In 7th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2022. http://dx.doi.org/10.5592/co/cetra.2022.1420.
Повний текст джерелаPraticò, Filippo Giammaria, Rosario Fedele, Sara Pizzi, and Giuseppe Araniti. "INTELLIGENT TRANSPORT SYSTEMS EXPLOITING SMART WIRELESS SENSING NODES." In 11th International Conference “Environmental Engineering”. VGTU Technika, 2020. http://dx.doi.org/10.3846/enviro.2020.624.
Повний текст джерелаJuan, Shen, Zhou Lili, Yao Yong, Zou Guorong, and Chen Yue. "Traffic Safety Analysis of Overloaded Transportation." In 2010 International Conference on Optoelectronics and Image Processing (ICOIP). IEEE, 2010. http://dx.doi.org/10.1109/icoip.2010.268.
Повний текст джерелаЗвіти організацій з теми "Traffic safety Data processing"
Tarko, Andrew P., Qiming Guo, and Raul Pineda-Mendez. Using Emerging and Extraordinary Data Sources to Improve Traffic Safety. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317283.
Повний текст джерелаMonsere, Christopher, Myenwoo Lim, Chengxin Dai, and Xiaowei Wu. Development of the Oregon Traffic Safety Data Archive: Phases 1 and 2. Portland State University Library, March 2012. http://dx.doi.org/10.15760/trec.113.
Повний текст джерелаDai, Chengyu. Exploration of Weather Impacts on Freeway Traffic Operations and Safety Using High-Resolution Weather Data. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.255.
Повний текст джерелаTakubo, Nobuaki, and Shinichi Yoshida. An Estimation of Effects of Active Safety Devices by Hayashi's Quantification Theory Analysis of Traffic Accident Data. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0062.
Повний текст джерелаZhang, Yongping, Wen Cheng, and Xudong Jia. Enhancement of Multimodal Traffic Safety in High-Quality Transit Areas. Mineta Transportation Institute, February 2021. http://dx.doi.org/10.31979/mti.2021.1920.
Повний текст джерелаTarko, Andrew P., Mario A. Romero, Vamsi Krishna Bandaru, and Cristhian Lizarazo. TScan–Stationary LiDAR for Traffic and Safety Applications: Vehicle Interpretation and Tracking. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317402.
Повний текст джерелаChiavassa, Nathalie, and Raphael Dewez. Technical Note on Road Safety in Haiti. Inter-American Development Bank, January 2021. http://dx.doi.org/10.18235/0003250.
Повний текст джерелаNafakh, Abdullah Jalal, Franklin Vargas Davila, Yunchang Zhang, Jon D. Fricker, and Dulcy M. Abraham. Safety and Mobility Analysis of Rolling Slowdown for Work Zones: Comparison with Full Closure. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317380.
Повний текст джерелаWilliams, Michael, Marcial Lamera, Aleksander Bauranov, Carole Voulgaris, and Anurag Pande. Safety Considerations for All Road Users on Edge Lane Roads. Mineta Transportation Institute, March 2021. http://dx.doi.org/10.31979/mti.2021.1925.
Повний текст джерелаBäumler, Maximilian, Madlen Ringhand, Christian Siebke, Marcus Mai, Felix Elrod, and Günther Prokop. Report on validation of the stochastic traffic simulation (Part B). Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.243.
Повний текст джерела