Letteratura scientifica selezionata sul tema "Traffic engineering – Data processing"
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Articoli di riviste sul tema "Traffic engineering – Data processing"
Knoop, Victor L., Serge P. Hoogendoorn e Henk J. van Zuylen. "Processing Traffic Data Collected by Remote Sensing". Transportation Research Record: Journal of the Transportation Research Board 2129, n. 1 (gennaio 2009): 55–61. http://dx.doi.org/10.3141/2129-07.
Testo completoTarko, Andrzej P., e Nagui M. Rouphail. "Intelligent Traffic Data Processing for ITS Applications". Journal of Transportation Engineering 123, n. 4 (luglio 1997): 298–307. http://dx.doi.org/10.1061/(asce)0733-947x(1997)123:4(298).
Testo completoMallikarjuna, C., A. Phanindra e K. Ramachandra Rao. "Traffic Data Collection under Mixed Traffic Conditions Using Video Image Processing". Journal of Transportation Engineering 135, n. 4 (aprile 2009): 174–82. http://dx.doi.org/10.1061/(asce)0733-947x(2009)135:4(174).
Testo completoSun, Yuan, Hao Xu, Jianqing Wu, Jianying Zheng e 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, n. 45 (8 giugno 2018): 14–22. http://dx.doi.org/10.1177/0361198118775839.
Testo completoZhao, Liangbin, Guoyou Shi e Jiaxuan Yang. "Ship Trajectories Pre-processing Based on AIS Data". Journal of Navigation 71, n. 5 (22 aprile 2018): 1210–30. http://dx.doi.org/10.1017/s0373463318000188.
Testo completoIvanov, Alexander, e Alexander Platov. "Environmental monitoring based on data processing of Internet of Things". E3S Web of Conferences 136 (2019): 01041. http://dx.doi.org/10.1051/e3sconf/201913601041.
Testo completoZhao, Ming, Norman W. Garrick e Luke E. K. Achenie. "Data Reconciliation–Based Traffic Count Analysis System". Transportation Research Record: Journal of the Transportation Research Board 1625, n. 1 (gennaio 1998): 12–17. http://dx.doi.org/10.3141/1625-02.
Testo completoZhihuang Jiang. "Traffic Operation Data Analysis and Information Processing Based on Data Mining". Automatic Control and Computer Sciences 53, n. 3 (maggio 2019): 244–52. http://dx.doi.org/10.3103/s0146411619030040.
Testo completoZhou, Xin. "Research on Front-End Fusion Processing Technology of Traffic Scenes". Journal of Architectural Research and Development 6, n. 2 (4 marzo 2022): 1–7. http://dx.doi.org/10.26689/jard.v6i2.3707.
Testo completoChronopoulos, Anthony Theodore, e Gang Wang. "Traffic Flow Simulation through Parallel Processing". Transportation Research Record: Journal of the Transportation Research Board 1566, n. 1 (gennaio 1996): 31–38. http://dx.doi.org/10.1177/0361198196156600104.
Testo completoTesi sul tema "Traffic engineering – Data processing"
賴翰笙 e 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.
Testo completoLam, Fung, e 林峰. "Internet inter-domain traffic engineering and optimizatioon". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31224581.
Testo completoWolf, Jean Louise. "Using GPS data loggers to replace travel diaries in the collection of travel data". Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/20203.
Testo completoMawji, Afzal. "Achieving Scalable, Exhaustive Network Data Processing by Exploiting Parallelism". Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/779.
Testo completoWang, Hong Feng. "IGP traffic engineering : a comparison of computational optimization algorithms". Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/20877.
Testo completoENGLISH ABSTRACT: Traffic Engineering (TE) is intended to be used in next generation IP networks to optimize the usage of network resources by effecting QoS agreements between the traffic offered to the network and the available network resources. TE is currently performed by the IP community using three methods including (1) IGP TE using connectionless routing optimization (2) MPLS TE using connection-oriented routing optimization and (3) Hybrid TE combining IGP TE with MPLS TE. MPLS has won the battle of the core of the Internet and is making its way into metro, access and even some private networks. However, emerging provider practices are revealing the relevance of using IGP TE in hybrid TE models where IGP TE is combined with MPLS TE to optimize IP routing. This is done by either optimizing IGP routing while setting a few number of MPLS tunnels in the network or optimizing the management of MPLS tunnels to allow growth for the IGP traffic or optimizing both IGP and MPLS routing in a hybrid IGP+MPLS setting. The focus of this thesis is on IGP TE using heuristic algorithms borrowed from the computational intelligence research field. We present four classes of algorithms for Maximum Link Utilization (MLU) minimization. These include Genetic Algorithm (GA), Gene Expression Programming (GEP), Ant Colony Optimization (ACO), and Simulated Annealing (SA). We use these algorithms to compute a set of optimal link weights to achieve IGP TE in different settings where a set of test networks representing Europe, USA, Africa and China are used. Using NS simulation, we compare the performance of these algorithms on the test networks with various traffic profiles.
AFRIKAANSE OPSOMMING: Verkeersingenieurswese (VI) is aangedui vir gebruik in volgende generasie IP netwerke vir die gebruiksoptimering van netwerkbronne deur die daarstelling van kwaliteit van diens ooreenkomste tussen die verkeersaanbod vir die netwerk en die beskikbare netwerkbronne. VI word huidiglik algemeen bewerkstellig deur drie metodes, insluitend (1) IGP VI gebruikmakend van verbindingslose roete-optimering, (2) MPLS VI gebruikmakend van verbindingsvaste roete-optimering en (3) hibriede VI wat IGP VI en MPLS VI kombineer. MPLS is die mees algemene, en word ook aangewend in metro, toegang en selfs sommige privaatnetwerke. Nuwe verskaffer-praktyke toon egter die relevansie van die gebruik van IGP VI in hibriede VI modelle, waar IGP VI gekombineer word met MPLS VI om IP roetering te optimeer. Dit word gedoen deur `of optimering van IGP roetering terwyl ’n paar MPLS tonnels in die netwerk gestel word, `of optimering van die bestuur van MPLS tonnels om toe te laat vir groei in die IGP verkeer `of die optimering van beide IGP en MPLS roetering in ’n hibriede IGP en MPLS situasie. Die fokus van hierdie tesis is op IGP VI gebruikmakend van heuristieke algoritmes wat ontleen word vanuit die berekeningsintelligensie navorsingsveld. Ons beskou vier klasse van algoritmes vir Maksimum Verbindingsgebruik (MVG) minimering. Dit sluit in genetiese algoritmes, geen-uitdrukkingsprogrammering, mierkoloniemaksimering and gesimuleerde temperoptimering. Ons gebruik hierdie algoritmes om ’n versameling optimale verbindingsgewigte te bereken om IGP VI te bereik in verskillende situasies, waar ’n versameling toetsnetwerke gebruik is wat Europa, VSA, Afrika en China verteenwoordig. Gebruikmakende van NS simulasie, vergelyk ons die werkverrigting van hierdie algoritmes op die toetsnetwerke, met verskillende verkeersprofiele.
Hwang, Kuo-Ping. "Applying heuristic traffic assignment in natural disaster evacuation: a decision support system". Diss., Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/54455.
Testo completoPh. D.
Trinh, Viet. "Using voicexml to provide real-time traffic information". Honors in the Major Thesis, University of Central Florida, 2002. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/307.
Testo completoBachelors
Engineering
Computer Engineering
Smith, Katie S. "A profile of HOV lane vehicle characteristics on I-85 prior to HOV-to-HOT conversion". Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42923.
Testo completoKumar, Saurabh. "Real-Time Road Traffic Events Detection and Geo-Parsing". Thesis, Purdue University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10842958.
Testo completoIn the 21st century, there is an increasing number of vehicles on the road as well as a limited road infrastructure. These aspects culminate in daily challenges for the average commuter due to congestion and slow moving traffic. In the United States alone, it costs an average US driver $1200 every year in the form of fuel and time. Some positive steps, including (a) introduction of the push notification system and (b) deploying more law enforcement troops, have been taken for better traffic management. However, these methods have limitations and require extensive planning. Another method to deal with traffic problems is to track the congested area in a city using social media. Next, law enforcement resources can be re-routed to these areas on a real-time basis.
Given the ever-increasing number of smartphone devices, social media can be used as a source of information to track the traffic-related incidents.
Social media sites allow users to share their opinions and information. Platforms like Twitter, Facebook, and Instagram are very popular among users. These platforms enable users to share whatever they want in the form of text and images. Facebook users generate millions of posts in a minute. On these platforms, abundant data, including news, trends, events, opinions, product reviews, etc. are generated on a daily basis.
Worldwide, organizations are using social media for marketing purposes. This data can also be used to analyze the traffic-related events like congestion, construction work, slow-moving traffic etc. Thus the motivation behind this research is to use social media posts to extract information relevant to traffic, with effective and proactive traffic administration as the primary focus. I propose an intuitive two-step process to utilize Twitter users' posts to obtain for retrieving traffic-related information on a real-time basis. It uses a text classifier to filter out the data that contains only traffic information. This is followed by a Part-Of-Speech (POS) tagger to find the geolocation information. A prototype of the proposed system is implemented using distributed microservices architecture.
Glick, Travis Bradley. "Utilizing High-Resolution Archived Transit Data to Study Before-and-After Travel-Speed and Travel-Time Conditions". PDXScholar, 2017. https://pdxscholar.library.pdx.edu/open_access_etds/4065.
Testo completoLibri sul tema "Traffic engineering – Data processing"
Computer image processing in traffic engineering. Taunton, Somerset, England: Research Studies Press, 1991.
Cerca il testo completoYoung, W. Microcomputers in traffic engineering. Taunton, Somerset, England: Research Studies Press, 1989.
Cerca il testo completoAbawajy, Jemal H. Network and traffic engineering in emerging distributed computing applications. Hershey, PA: Information Science Reference, 2013.
Cerca il testo completo1951-, Bonsall P. W., e Young W. 1949-, a cura di. Understanding traffic systems: Data, analysis, and presentation. Aldershot: Ashgate, 2000.
Cerca il testo completo1951-, Bonsall P. W., e Young W. 1949-, a cura di. Understanding traffic systems: Data, analysis, and presentation. Aldershot: Avebury Technical, 1996.
Cerca il testo completoTaylor, M. A. P. Traffic analysis: New technology & new solutions. North Melbourne, Victoria, Australia: Hargreen Pub. Co., 1988.
Cerca il testo completoBlay, D. R. Evaluation of the FREQ7PE freeway traffic simulation program. Downsview, Ont: Research and Development Branch, Ontario Ministry of Transportation, 1988.
Cerca il testo completoC, Bazzan Ana L., e Klügl Franziska, a cura di. Handbook of research on multi-agent systems for traffic and transportation engineering. Hershey, PA: Information Science Reference, 2009.
Cerca il testo completoHeureka '90 (1990 Karlsruhe, Germany). Optimierung in Verkehr und Transport: Vortragsveranstaltung mit Vorstellung von Hard- und Software, Karlsruhe 5./6. April 1990 : Tagungsbericht. [Köln]: Die Forschungsgesellschaft, 1990.
Cerca il testo completoGao su gong lu jiao tong yun xing zhuang tai fen xi fang fa ji ying yong. Nanjing Shi: Dong nan da xue chu ban she, 2012.
Cerca il testo completoCapitoli di libri sul tema "Traffic engineering – Data processing"
Sanghavi, Jeet D., Alay M. Shah, Saurabh S. Rane e V. Venkataramanan. "Smart Traffic Density Management System Using Image Processing". In Lecture Notes on Data Engineering and Communications Technologies, 301–12. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8339-6_33.
Testo completoWillmott, S. C. "Design of A Flight and Radar Data Processing System for the Support of Air Traffic Control". In Software Engineering for Large Software Systems, 122–40. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0771-3_5.
Testo completoTarefder, Rafiqul, e 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.
Testo completoMolnár, P., e 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.
Testo completoGarcía-Dorado, José Luis, Felipe Mata, Javier Ramos, Pedro M. Santiago del Río, Victor Moreno e 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.
Testo completoFurutani, Nobuaki, Jun Kitazono, Seiichi Ozawa, Tao Ban, Junji Nakazato e 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.
Testo completoTrinh, Thong Duc, Dinh Khanh Nguyen Diep e 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.
Testo completoBerns, Karsten, Alexander Köpper e Bernd Schürmann. "Sensor Data Processing". In Lecture Notes in Electrical Engineering, 227–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65157-2_8.
Testo completoGodse, Jay. "Reverse-Engineering Complex Solutions". In Ruby Data Processing, 89–96. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3474-7_4.
Testo completoAwange, Joseph L. "Data Processing and Adjustment". In Environmental Science and Engineering, 91–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-88256-5_6.
Testo completoAtti di convegni sul tema "Traffic engineering – Data processing"
Lu, B., L. Yang e A. Qin. "Mobile Traffic Data Collection/Processing and Its Applications". In Second International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41039(345)627.
Testo completoKriegel, Hans-Peter, Peer Kroger, Peter Kunath, Matthias Renz e Tim Schmidt. "Efficient Query Processing in Large Traffic Networks". In 2008 IEEE 24th International Conference on Data Engineering (ICDE 2008). IEEE, 2008. http://dx.doi.org/10.1109/icde.2008.4497586.
Testo completoJiang, Jia, Hong Li e Rui Xiao. "Error Processing on the Real-Time Traffic Data". In 2010 International Conference on Intelligent System Design and Engineering Application (ISDEA). IEEE, 2010. http://dx.doi.org/10.1109/isdea.2010.127.
Testo completoNejad, Emad Soltani, e Mohammad Reza Majma. "RMTE: Robust modular traffic engineering in software-defined data center networks". In 2017 International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2017. http://dx.doi.org/10.1109/idap.2017.8090216.
Testo completoLiu, Nan, Peng Peng, Zuzhi Shen, Haihang Han e Mingrong Deng. "Optimization of Traffic Information Processing Based on Data Mining from GPS Historical Data". In Second International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41039(345)584.
Testo completoBlackman, Samuel S., M. T. Busch, S. W. Cantrell e C. J. Musial. "Applications of signal and data processing technology to vehicular traffic monitoring". In Optical Engineering and Photonics in Aerospace Sensing, a cura di Oliver E. Drummond. SPIE, 1993. http://dx.doi.org/10.1117/12.157791.
Testo completoLi, Jianping, e Han Chen. "Research on Abnormal Data Analysis and Data Processing Method Based on Network Traffic". In 2022 IEEE International Conference on Computation, Big-Data and Engineering (ICCBE). IEEE, 2022. http://dx.doi.org/10.1109/iccbe56101.2022.9888172.
Testo completoYadav, Mukesh, Kasturi Ghadge, Nitya Shetty, Deepa Chanchlani, Priyanka Narwani e Richard Joseph. "Smart Road Traffic Handler: Cause Identification and Resolution Using Image Processing". In 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence). IEEE, 2019. http://dx.doi.org/10.1109/confluence.2019.8776938.
Testo completoZhang, Ming, Shisheng Wang, Yu jing Cai e Xiubin Xuan. "Intelligent processing system for equipment monitoring data of urban rail transit based on IOT perception". In 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), a cura di Yongkang Xing. SPIE, 2021. http://dx.doi.org/10.1117/12.2619774.
Testo completoFigueiras, Paulo, Ricardo Silva, André Ramos, Guilherme Guerreiro, Ruben Costa e 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.
Testo completoRapporti di organizzazioni sul tema "Traffic engineering – Data processing"
Saad, T., R. Gandhi, X. Liu, V. Beeram e I. Bryskin. Common YANG Data Types for Traffic Engineering. RFC Editor, giugno 2020. http://dx.doi.org/10.17487/rfc8776.
Testo completoLiu, X., I. Bryskin, V. Beeram, T. Saad, H. Shah e O. Gonzalez de Dios. YANG Data Model for Traffic Engineering (TE) Topologies. RFC Editor, agosto 2020. http://dx.doi.org/10.17487/rfc8795.
Testo completoGao, J., G. Xie e R. Papneja. Label Switched Path (LSP) Data Path Delay Metrics in Generalized MPLS and MPLS Traffic Engineering (MPLS-TE) Networks. A cura di W. Sun e G. Zhang. RFC Editor, novembre 2012. http://dx.doi.org/10.17487/rfc6777.
Testo completoChien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu e Wei Lin. Integration of Lane-Specific Traffic Data Generated from Real-Time CCTV Videos into INDOT's Traffic Management System. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317400.
Testo completoRinghand, Madlen, Maximilian Bäumler, Christian Siebke, Marcus Mai e Felix Elrod. Report on validation of the stochastic traffic simulation (Part A). Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.242.
Testo completoBäumler, Maximilian, Madlen Ringhand, Christian Siebke, Marcus Mai, Felix Elrod e Günther Prokop. Report on validation of the stochastic traffic simulation (Part B). Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.243.
Testo completoHall, Candice, e Robert Jensen. Utilizing data from the NOAA National Data Buoy Center. Engineer Research and Development Center (U.S.), marzo 2021. http://dx.doi.org/10.21079/11681/40059.
Testo completoTarko, Andrew P., Mario A. Romero, Vamsi Krishna Bandaru e Cristhian Lizarazo. TScan–Stationary LiDAR for Traffic and Safety Applications: Vehicle Interpretation and Tracking. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317402.
Testo completoLi, Howell, Jijo K. Mathew, Woosung Kim e Darcy M. Bullock. Using Crowdsourced Vehicle Braking Data to Identify Roadway Hazards. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317272.
Testo completoKress, Marin, David Young, Katherine Chambers e Brandan Scully. AIS data case study : quantifying connectivity for six Great Lakes port areas from 2015 through 2018. Engineer Research and Development Center (U.S.), maggio 2021. http://dx.doi.org/10.21079/11681/40720.
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