Gotowa bibliografia na temat „Traffic congestion”
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Artykuły w czasopismach na temat "Traffic congestion"
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 źródłaRozprawy doktorskie na temat "Traffic congestion"
Bojs, Eric. "Quantifying Traffic Congestion in Nairobi". Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-275684.
Pełny tekst źródłaMålet med rapporten är att ge insikt i en innovativ ansats för att kvantifiera biltrafik i utvecklingsstäder. Detta kommer som en nödvändighet för att kunna förbättra resursfördelning i utvecklandet av infrastruktur. Projektet utspelade sig som en fallstudie där stadsdelar i Nairobi, Kenya studerades. Ansatsen innefattar en metod som bygger på tekniker från topologisk dataanalys (eng. \textit{Topological Data Analysis}), tillsammans med stora datakällor från taxitjänster i staden. Detta hoppas ge både kvalitativ och kvantitativ information om trafiken i staden. Metoden visade sig vara användbar för att förstå hur trafik sprider sig och att differentiera mellan nivåer av trafik, alltså att kvantifiera den. Tyvärr så misslyckades metoden visa sig användbar för att mäta förbättringar i infrastruktur.
Lerz, Stefan. "Congestion theory and railway traffic /". Capelle a/d IJssel : Labyrint, 1996. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=007375963&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Pełny tekst źródłaWong, Wan-ho. "Bus to bus interchange : solution for traffic congestion in Hong Kong Island /". Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk:8888/cgi-bin/hkuto%5Ftoc%5Fpdf?B23425787.
Pełny tekst źródłaRamakrishna, Sajja D. "An approach to predict traffic congestion". Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-09192009-040304/.
Pełny tekst źródłaWelzl, Michael. "Network congestion control : managing Internet traffic /". Chichester [u.a.] : Wiley, 2005. http://www.loc.gov/catdir/toc/ecip0513/2005015429.html.
Pełny tekst źródłaLee, Tak-kwong. "A study of the traffic congestion problem in Hong Kong : a case study of Wanchai district /". Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19906511.
Pełny tekst źródłaHuisken, Giovanni. "Inter-urban short-term traffic congestion prediction". Enschede : University of Twente [Host], 2006. http://doc.utwente.nl/57639.
Pełny tekst źródłaDrum, David K. "Counteracting traffic congestion using intelligent driver feedback". Thesis, University of Missouri - Columbia, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10180875.
Pełny tekst źródłaTraffic congestion is a daily occurrence in urban highway networks worldwide. It is not possible, however, for society to build its way out of congestion; rather, smarter roads and vehicles are needed. While the development of a smarter transportation system is underway, full implementation is years or decades from now. Yet, some of the sensing technology needed for smarter vehicles is already widely deployed in the form of smart phones. This thesis develops a novel method for recognizing traffic congestion using an artificially intelligent heuristic that could be implemented in a smart phone application or embedded system. Its goal is to provide intelligent feedback to a driver or autonomous vehicle control system to counteract stop-and-go traffic, a defining feature of urban highway congestion. Evaluation of the method indicates that a specific condition during stop-and-go traffic can be recognized accurately. A driver or control system acting upon feedback provided by the artificially intelligent system can improve traffic flow on the roadway by 1% to 3.5% over the course of the test duration.
Arya, Vijay. "Congestion inference and traffic engineering in networks". Nice, 2005. http://www.theses.fr/2005NICE4079.
Pełny tekst źródłaThis thesis presents methods which help to improve the quality of congestion inference on both en-to-end paths and internal network links in the Internet and a method which help to perform multicast traffic engineering in Overlay Networks. First, we propose an explicit loss differentiation scheme which allows unreliable transport protocols to accurately infer congestion on end-to-end paths by correctly differentiating congestion losses from wireless losses. Second, we present two contributions related to Multicast-based Inference of Network Characteristics (MINC). MINC is a method of performing network tomography which infers loss rates, i. E. , congestion on internal network links from end-to-end multicast measurements. We propose a statistical verification algorithm which can verify the integrity of binary multicast measurements used by MINC to perform loss inference. This algorithm helps to ensure a trustworthy inference of link loss rates. Next, we propose an extended MINC loss estimator which can infer loss rates of network links using aggregate multicast feedbacks. This estimator can be used to perform loss inference in situations where the bandwidth to report multicast feedbacks is low. Third, we present efficient ways of encoding multicast trees within data packets. These encodings can be used to perform stateless and explicit multicast routing in overlay networks and thus achieve goals of multicast traffic engineering
Raman, Mala. "Supply management measures for alleviating urban traffic congestion". Master's thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-03302010-020519/.
Pełny tekst źródłaKsiążki na temat "Traffic congestion"
Clark, Charles S. Traffic Congestion. 2455 Teller Road, Thousand Oaks California 91320 United States: CQ Press, 1994. http://dx.doi.org/10.4135/cqresrre19940506.
Pełny tekst źródłaHosansky, David. Traffic Congestion. 2455 Teller Road, Thousand Oaks California 91320 United States: CQ Press, 1999. http://dx.doi.org/10.4135/cqresrre19990827.
Pełny tekst źródłaHosansky, David. Traffic Congestion. 2455 Teller Road, Thousand Oaks California 91320 United States: CQ Press, 2018. http://dx.doi.org/10.4135/cqresrre20180126.
Pełny tekst źródłaVictoria. Office of the Auditor-General. Managing traffic congestion. Melbourne, Vic: Victorian Government Printer, 2013.
Znajdź pełny tekst źródłaInstitution of Civil Engineers (Great Britain). Infrastructure Policy Group., red. Congestion. London: Telford, 1989.
Znajdź pełny tekst źródłaOrganisation for Economic Co-operation and Development., European Conference of Ministers of Transport. i Transport Research Centre, red. Managing urban traffic congestion. Paris: OECD, 2007.
Znajdź pełny tekst źródłaTilmann, Rave, i Schöb Ronnie, red. Alleviating urban traffic congestion. Cambridge, Mass: MIT Press, 2005.
Znajdź pełny tekst źródłaNihan, N. L. Freeway congestion prediction. [Olympia, Wash.]: Washington State Dept. of Transportation, 1995.
Znajdź pełny tekst źródłaLindsey, Robin. Congestion modelling. Edmonton, Alta: Dept. of Economics, University of Alberta, 1999.
Znajdź pełny tekst źródłaMallett, William. Surface transportation congestion. New York: Nova Science Publishers, 2008.
Znajdź pełny tekst źródłaCzęści książek na temat "Traffic congestion"
Mazurkeviciute, Aide. "Traffic Congestion". W Encyclopedia of Law and Economics, 1–12. New York, NY: Springer New York, 2023. http://dx.doi.org/10.1007/978-1-4614-7883-6_801-1.
Pełny tekst źródłaFalcocchio, John C., i Herbert S. Levinson. "Measuring Traffic Congestion". W Road Traffic Congestion: A Concise Guide, 93–110. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15165-6_8.
Pełny tekst źródłaMallard, Graham, i Stephen Glaister. "Tackling Traffic Congestion". W Transport Economics, 249–76. London: Macmillan Education UK, 2010. http://dx.doi.org/10.1007/978-1-137-06823-1_16.
Pełny tekst źródłaKerner, B. S., H. Rehborn i M. Aleksic. "Forecasting of Traffic Congestion". W Traffic and Granular Flow ’99, 339–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59751-0_32.
Pełny tekst źródłaSalter, R. J. "Traffic congestion and restraint". W Highway Traffic Analysis and Design, 259–69. London: Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-13423-6_27.
Pełny tekst źródłaSalter, R. J. "Traffic congestion and restraint". W Highway Traffic Analysis and Design, 245–62. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-20014-6_27.
Pełny tekst źródłaFalcocchio, John C., i Herbert S. Levinson. "Managing Nonrecurring Congestion". W Road Traffic Congestion: A Concise Guide, 197–211. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15165-6_15.
Pełny tekst źródłaDelahaye, Daniel, i Stéphane Puechmorel. "Airspace Congestion Metrics". W Modeling and Optimization of Air Traffic, 243–89. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118743805.ch7.
Pełny tekst źródłaPérez Herrero, María, Julien Brunel i Gregoire Marlot. "Rail Externalities: Assessing the Social Cost of Rail Congestion". W Traffic Management, 331–44. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119307822.ch23.
Pełny tekst źródłaKerner, Boris S. "Spatiotemporal Features of Traffic Congestion". W Complex Dynamics of Traffic Management, 387–500. New York, NY: Springer US, 2019. http://dx.doi.org/10.1007/978-1-4939-8763-4_560.
Pełny tekst źródłaStreszczenia konferencji na temat "Traffic congestion"
Ghali, M. O. "Managing traffic congestion by using traffic control". W IEE Colloquium on Urban Congestion Management. IEE, 1995. http://dx.doi.org/10.1049/ic:19951300.
Pełny tekst źródłaMandayam, Chinmoy V., i Balaji Prabhakar. "Traffic congestion". W The 2014 ACM international conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2591971.2592014.
Pełny tekst źródłaBell, M. G. H. "Traffic restraint and urban decay". W IEE Colloquium on Urban Congestion Management. IEE, 1995. http://dx.doi.org/10.1049/ic:19951294.
Pełny tekst źródłaRamos, Gabriel O., Ana L. C. Bazzan i Bruno C. Da Silva. "Regret Minimisation and System-Efficiency in Route Choice". W XXXII Concurso de Teses e Dissertações da SBC. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/ctd.2019.6332.
Pełny tekst źródłaYe Xaofei i Chen Jun. "Analysis on traffic congestion propagation influenced by traffic congestion information". W 2011 International Conference on Electric Technology and Civil Engineering (ICETCE). IEEE, 2011. http://dx.doi.org/10.1109/icetce.2011.5775757.
Pełny tekst źródłaHounsell, N. B. "Protecting buses from congestion using traffic signal control". W IEE Colloquium on Urban Congestion Management. IEE, 1995. http://dx.doi.org/10.1049/ic:19951301.
Pełny tekst źródłaPalmer, J. P. "Automatic incident detection and improved traffic control in urban areas". W IEE Colloquium on Urban Congestion Management. IEE, 1995. http://dx.doi.org/10.1049/ic:19951296.
Pełny tekst źródłaSayers, T. M. "Improving the traffic responsiveness of signal controllers using fuzzy logic". W IEE Colloquium on Urban Congestion Management. IEE, 1995. http://dx.doi.org/10.1049/ic:19951298.
Pełny tekst źródłaDeshmukh, Shubhangi M., i Bhairavi N. Savant. "Traffic congestion alerting system". W 2016 International Conference on Computing Communication Control and automation (ICCUBEA). IEEE, 2016. http://dx.doi.org/10.1109/iccubea.2016.7860110.
Pełny tekst źródłaBell, M. G. H. "Traffic diversion due to motorway tolls". W IEE Seminar on Electronic Tolling and Congestion Charging. IEE, 1999. http://dx.doi.org/10.1049/ic:19990520.
Pełny tekst źródłaRaporty organizacyjne na temat "Traffic congestion"
Snyder, Corey, Daniel Gonzales, Minh Do i Tian Ma. Congestion Estimation Using Traffic Cameras. Office of Scientific and Technical Information (OSTI), maj 2019. http://dx.doi.org/10.2172/1762323.
Pełny tekst źródła., Susilawati. Will self-driving cars solve traffic congestion? Redaktor Sara Phillips. Monash University, luty 2023. http://dx.doi.org/10.54377/1f93-023d.
Pełny tekst źródłaAyala Somayajula, Revanth. Real time traffic congestion detection using images. Ames (Iowa): Iowa State University, styczeń 2018. http://dx.doi.org/10.31274/cc-20240624-1188.
Pełny tekst źródłaChin, Shih-Miao, Patricia S. Hu i Diane Davidson. Making the Traffic Operations Case for Congestion Pricing: Operational Impacts of Congestion Pricing. Office of Scientific and Technical Information (OSTI), luty 2011. http://dx.doi.org/10.2172/1048704.
Pełny tekst źródłaEwing, Reid, Guang Tian i Torrey Lyons. Does Compact Development Increase or Reduce Traffic Congestion? Transportation Research and Education Center, październik 2017. http://dx.doi.org/10.15760/trec.187.
Pełny tekst źródłaBento, Antonio, Kevin Roth i Andrew Waxman. Avoiding Traffic Congestion Externalities? The Value of Urgency. Cambridge, MA: National Bureau of Economic Research, kwiecień 2020. http://dx.doi.org/10.3386/w26956.
Pełny tekst źródłaBigazzi, Alexander. Traffic Congestion Mitigation as an Emissions Reduction Strategy. Portland State University Library, styczeń 2000. http://dx.doi.org/10.15760/etd.131.
Pełny tekst źródłaZhu, X., S. Mena i Z. Sarker. Video Traffic Models for RTP Congestion Control Evaluations. RFC Editor, maj 2019. http://dx.doi.org/10.17487/rfc8593.
Pełny tekst źródłaLiu, Hongrui, i Rahul Ramachandra Shetty. Analytical Models for Traffic Congestion and Accident Analysis. Mineta Transportation Institute, listopad 2021. http://dx.doi.org/10.31979/mti.2021.2102.
Pełny tekst źródłaKumar, Kaushal, i Yupeng Wei. Attention-Based Data Analytic Models for Traffic Flow Predictions. Mineta Transportation Institute, marzec 2023. http://dx.doi.org/10.31979/mti.2023.2211.
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