Academic literature on the topic 'Traffic Load'
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Journal articles on the topic "Traffic Load"
Au, Alexander, Clifford Lam, Akhilesh C. Agarwal, and Bala Tharmabala. "Bridge evaluation by mean load method per the Canadian Highway Bridge Design Code." Canadian Journal of Civil Engineering 32, no. 4 (August 1, 2005): 678–86. http://dx.doi.org/10.1139/l05-015.
Full textGao, Lian-sheng, Han-cheng Dan, and Liang Li. "Response Analysis of Asphalt Pavement under Dynamic Loadings: Loading Equivalence." Mathematical Problems in Engineering 2019 (July 18, 2019): 1–15. http://dx.doi.org/10.1155/2019/7020298.
Full textLi, Wen-zheng, Qiao Guo, and Wei-min Guo. "Internet load and traffic balancing." Journal of Shanghai University (English Edition) 9, no. 2 (April 2005): 143–46. http://dx.doi.org/10.1007/s11741-005-0067-1.
Full textColbourn, Charles J., Alan C. H. Ling, Gaetano Quattrocchi, and Violet R. Syrotiuk. "Grooming traffic to minimize load." Discrete Mathematics 312, no. 3 (February 2012): 536–44. http://dx.doi.org/10.1016/j.disc.2011.03.016.
Full textZhao, Yue, Xuelian Guo, Botong Su, Yamin Sun, and Yiyun Zhu. "Multi-Lane Traffic Load Clustering Model for Long-Span Bridge Based on Parameter Correlation." Mathematics 11, no. 2 (January 5, 2023): 274. http://dx.doi.org/10.3390/math11020274.
Full textHamarashid, Hozan Khalid, Miran Hama Rahim Saeed, and Soran Saeed. "Designing a Smart Traffic Light Algorithm (HMS) Based on Modified Round Robin Algorithm." Kurdistan Journal of Applied Research 2, no. 1 (June 30, 2017): 27–30. http://dx.doi.org/10.24017/science.2017.1.8.
Full textZhao, Jingnan, Hao Wang, Pan Lu, and Jiaqi Chen. "Mechanistic–Empirical Analysis of Pavement Performance Considering Dynamic Axle Load Spectra Due to Longitudinal Unevenness." Applied Sciences 12, no. 5 (March 2, 2022): 2600. http://dx.doi.org/10.3390/app12052600.
Full textKennedy, D. J. Laurie, Darrel P. Gagnon, David E. Allen, and James G. MacGregor. "Canadian highway bridge evaluation: load and resistance factors." Canadian Journal of Civil Engineering 19, no. 6 (December 1, 1992): 992–1006. http://dx.doi.org/10.1139/l92-119.
Full textLYAPIN, S. A., Y. N. RIZAEVA, D. A. KADASEV, and N. V. VORONIN. "INVESTIGATION OF THE INFLUENCE OF TRAFFIC FLOW CONTROL ON THE LOADS OF THE MAIN LOAD-BEARING ELEMENTS AND THE CAPACITY OF BRIDGES." World of transport and technological machines 77, no. 2 (2022): 27–35. http://dx.doi.org/10.33979/2073-7432-2022-77-2-27-35.
Full textLu, Zebin, Junru Lei, Yihao He, Zhengfa Li, Shuhua Deng, and Xieping Gao. "Energy Optimization for Software-Defined Data Center Networks Based on Flow Allocation Strategies." Electronics 8, no. 9 (September 11, 2019): 1014. http://dx.doi.org/10.3390/electronics8091014.
Full textDissertations / Theses on the topic "Traffic Load"
Zhou, Xiao Yi. "Statistical analysis of traffic loads and traffic load effects on bridges." Phd thesis, UNIVERSITE PARIS-EST, 2013. http://tel.archives-ouvertes.fr/tel-00949929.
Full textCong, Jing [Verfasser]. "Load Specification and Load Generation for Multimedia Traffic Loads in Computer Networks / Jing Cong." Aachen : Shaker, 2006. http://d-nb.info/1170529038/34.
Full textWarsama, Ahmed. "Traffic Engineering with SDN : Optimising traffic Load-Balancing with OpenFlow." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39385.
Full textIgbe, Damian. "Dynamic load balancing of parallel road traffic simulation." Thesis, University of Westminster, 2010. https://westminsterresearch.westminster.ac.uk/item/90644/dynamic-load-balancing-of-parallel-road-traffic-simulation.
Full textJames, Gerard. "Analysis of traffic load effects an railway bridges." Doctoral thesis, KTH, Civil and Architectural Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3523.
Full textThe work presented in this thesis studies the load and loadeffects of traffic loads on railway bridges. The increasedknowledge of the traffic loads, simulated using fieldmeasurements of actual trains, are employed in a reliabilityanalysis in an attempt at upgrading existing railwaybridges.
The study utilises data from a weigh-in-motion site whichrecords, for each train, the train speed, the loads from eachaxle and the axle spacings. This data of actual trainconfigurations and axle loads are portrayed as moving forcesand then used in computer simulations of trains crossing twodimensional simply supported bridges at constant speed. Onlysingle track short to medium span bridges are considered in thethesis. The studied load effect is the moment at mid-span. Fromthe computer simulations the moment history at mid-span isobtained.
The load effects are analysed by two methods, the first isthe classical extreme value theory where the load effect ismodelled by the family of distributions called the generalisedextreme value distribution (GEV). The other method adopts thepeaks-over-threshold method (POT) where the limiting family ofdistributions for the heights to peaks-over-threshold is theGeneralised Pareto Distribution (GPD). The two models aregenerally found to be a good representation of the data.
The load effects modelled by either the GEV or the GPD arethen incorporated into a reliability analysis in order to studythe possibility of raising allowable axle loads on existingSwedish railway bridges. The results of the reliabilityanalysis show that they are sensitive to the estimation of theshape parameter of the GEV or the GPD.
While the study is limited to the case of the ultimate limitstate where the effects of fatigue are not accounted for, thefindings show that for the studied cases an increase inallowable axle load to 25 tonnes would be acceptable even forbridges built to the standards of 1940 and designed to LoadModel A of that standard. Even an increase to both 27.5 and 30tonnes appears to be possible for certain cases. It is alsoobserved that the short span bridges ofapproximately fourmetres are the most susceptible to a proposed increase inpermissible axle load.
Keywords:bridge, rail, traffic load, load effect,dynamic amplification factor, extreme value theory,peaks-over-threshold, reliability theory, axle loads, fielddata.
Sarraf, Anooshiravan Hashemzadeh. "Asymmetric traffic load modelling for local area networks." Thesis, Manchester Metropolitan University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319239.
Full textHadji, Leila. "A Unified Load Generator for Geographically Distributed Generation ofNetwork Traffic." Thesis, Högskolan Dalarna, Datateknik, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:du-2375.
Full textFrostne, Isabel. "Traffic analysis of existing traffic in Kulyab region in order to plan and configure a new GSM MSC for this region." Thesis, KTH, Kommunikationssystem, CoS, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91095.
Full textDen mobila täckningen har utvecklats snabbt under åren. Att uppnå den mobila täckningen var i början en stor prestation – att kunna erbjuda telefontjänster för abonnenterna var än de befann sig och när de ville. Förutom detta så stödde detta system också fri rörlighet för abonnenterna. Under ett samtal kunde de förflytta sig från en cell till ett annan utan att samtalet bröts. Nu är mobilitetshanteringen någonting självklart. Nya funktioner utvecklas ständigt för dessa nätverk. En viktig aspekt för utvecklingen är att möjliggöra så att nya applikationer och teknologier kan introduceras och fortfarande vara kompatibla med de existerande teknikerna. Dessa mobilnätverk använder nya tekniker och möjliggör nya applikationer som är kompatibla med det existerande nätverket. Det existerande nätverket använder sig av tidigare teknologier, så som den fasta telefonnätet. Detta möjliggör kommunikation mellan abonnenterna från olika nätverk. I dagens nätverk finns det ett antal olika nätverk, som t.ex. 2G, GPRS, 3G och så vidare. Det tidigare nätverket använde sig av kretskopplad teknik, men trenden är attuteslutande använda sig av paketkopplad teknik. En av de viktigaste nätverksenheterna är ”Mobile switch center” (MSC). I de tidigare kretskopplade nätverket är MSC hjärtat i det kretskopplade nätverket. MSC är ansvarig för hanteringen, kontrollen och kommunikation till och från demobila enheterna (MS) i området som kontrolleras av MSCn. MSC lagrar information om var och en av MS i ett eller flera databaser. I abonnentens hemnätverk finns information om abonnentens abonnemang i ett hemregister (HLR). När abonnenten befinner sig i ett annat nätverk lagras informationen i ett gästregister (VLR). MSC hanterar mobilitet tillsammans med andra nätverksenheter i ”Core network” (CN) och möjliggör överlämnande (handover) och roaming. ”Gateway MSC” GMSC möjliggör kommunikation mellan MS och det fasta nätverket. Syftet med examensarbetet är att analysera trafiken för Kulyab-regionen för att konfigurera och installera en MSC i Kulyab. För tillfället finns ingen ”Radio network controller” (RNC) i regionen Kulyab, så MSCn i Kulyab kommer att konfigureras för att stödja 2G trafik. Konfigurationen baseras på den förväntade belastningen av mobiltrafiken i Kulyab-regionen, följaktligen är det första steget i processen att samla ihop och analysera information om den existerande trafiken i Kulyab-regionen. Trafiken tillhörande Kulyab-regionen handskas för närvarande av en MSC som befinner sig utanför detta område. Konfigurationen av den nya MSCn kommer att baseras på denna analys. Efter installationen och konfigurationen av den nya MSCn kommer följande frågor att bli besvarade, nämligen: Kan MSCn i Kulyab stödja alla basstationerna i Kulyab regionen? Om inte, hur många basstationer kan MSCn stödja? Till vilken grad kommer den nya MSCn att förbättra nätverket i termer av ökad tillförlitlighet, kapacitet och trafikgenomströmning? Hur mycket kommer kapacitetsökningen för den existerande MSC utanför Dushanbe att öka då MSC i Kulyab installeras?
Xirouchakis, Michail. "Traffic Load Predictions Using Machine Learning : Scale your Appliances a priori." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254906.
Full textNätverksfunktioner i lager 4-7 som t.ex. brandväggar eller NAPT har traditionellt implementeras på specialdesignad hårdvara med väldigt få programeringsegenskaper. Forskning inom datakomunikation har fokuserat på att istället möjliggöra dessa funktioner i mjukvara på standardhårdvara. Trots att många framsteg har gjorts inom området under de senaste åren (t.ex. nätverks I/O accelerering), kan inte mjukvarubaserade nätverksfunktioner garantera önskad tjänstenivå för kunderna (t.ex. begränsade latensvärden) p.g.a. det reaktiva tillvägagångsättet när arbetslasten ändras. Den här avhandlingen visar att med hjälp av maskininlärning så går det att förutse hur trafikflöden ändras över tid. Nätverksorkestrering kan sedan användas för att allokera resurser (bandbredd, beräkning, minne) i förväg samt mer precist. För detta ändamål har vi utvecklat Mantis, en nätverksapplikation i kontrolplanet som övervakar alla nätverksenheter för att generera prestandabaserade mätvärden och använder matematiska prediktorer (moving average, autoregression, wavelets, o.s.v.) för att förutse kommande ändringar i dessa värden. Det är en utmaning att välja rätt metod för att skapa prognosen för varje resurs. Därför har vi utvecklat flera olika prediktorer. Dessutom har varje prediktor flera konfigurationsvärden som kan ändras av administratören. För att utvärdera Mantis prognoser har vi satt upp ett testnätverk med en av marknadens ledande nätverkskontrollers, Metron [16], en NAPT nätverksfunktion implementerad med FastClick [6] och två testnoder. Den ena noden skickar data hämtad från verklig Internettrafik (erhållen från CAIDA [33]) samtidigt som vår applikation, Mantis, skapar prognoser i realtid. Manuell inspektion av resultaten tyder på att alla våra prediktorer har god precision, förutom början av en spårning då modellerna byggs upp eller vid abrupt ändring. Dessutom kan precisionen ökas ytterligare genom att använda diskret wavelet transformering av värdena innan prognosen görs.
Yaiaroon, Niphan. "Probabilistic modelling of extreme traffic load-effects based on WIM data." Thesis, The University of Sydney, 2009. https://hdl.handle.net/2123/28224.
Full textBooks on the topic "Traffic Load"
Martinez, Mark. Evaluation of LA DOTD traffic load data for determination of traffic load equivalency factors: Final report. Baton Rouge, La. (4101 Gourrier Avenue, Baton Rouge 70808): Louisiana Transportation Research Center, 2001.
Find full textQu, Tongbin. Traffic-load forecasting using weigh-in-motion data. [Austin, TX]: Center for Transportation Research, Bureau of Engineering Research, University of Texas at Austin, 1997.
Find full textShukla, Shridhar B. Multicast tree construction in network topologies with asymmetric link loads. Monterey, Calif: Naval Postgraduate School, 1994.
Find full textK, Cable James. Field evaluation of alternative load transfer device locations in low-traffic volume pavements. Ames, Iowa: Dept. of Civil, Construction and Environmental Engineering, Iowa State University, 2003.
Find full textGaver, Donald Paul. Heavy-traffic analysis of multi-type queueing under probabilistically load-preferential service order. Monterey, Calif: Naval Postgraduate School, 1990.
Find full textAir traffic controller staffing in the en route domain: A review of the Federal Aviation Administration's task load model. Washington, D.C: Transportation Research Board, 2010.
Find full textOffice, General Accounting. FAA staffing: Air traffic controllers' work load and operational performance : fact sheet for the Chairman, Subcommittee on Transportation and Related Agencies, Committee on Appropriations, United States Senate. Washington, D.C: U.S. General Accounting Office, 1987.
Find full textRamberger, Günter. Structural bearings and expansion joints for bridges. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2002. http://dx.doi.org/10.2749/sed006.
Full textThe case of the French lord. [Gurgaon] India: Partridge, a Penguin Random House Company, 2014.
Find full textStrengthening historic covered bridges to carry modern traffic. Hauppauge, NY, USA: Nova Science Publishers, 2009.
Find full textBook chapters on the topic "Traffic Load"
Weik, Martin H. "traffic load." In Computer Science and Communications Dictionary, 1804. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19828.
Full textKeenahan, Jennifer, Eugene OBrien, Aleš Žnidarič, and Jan Kalin. "Dynamic load allowance." In Bridge Traffic Loading, 87–110. London: CRC Press, 2021. http://dx.doi.org/10.1201/9780429318849-4.
Full textWeik, Martin H. "traffic load balancing." In Computer Science and Communications Dictionary, 1805. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19829.
Full textLebek, Dietrich. "Traffic Load Simulation Programme." In Bridge Management, 563–74. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4899-7232-3_49.
Full textWeik, Martin H. "line traffic load control." In Computer Science and Communications Dictionary, 905. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_10344.
Full textAziz, Zagroz, and Robert Bestak. "Mobile Voice Traffic Load Characteristics." In Computer Networks, 193–207. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21952-9_15.
Full textLarroca, Federico, and Jean-Louis Rougier. "A Fair and Dynamic Load-Balancing Mechanism." In Traffic Management and Traffic Engineering for the Future Internet, 36–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04576-9_3.
Full textOBrien, Eugene, Donya Hajializadeh, Bernard Enright, and Cathal Leahy. "Factors affecting the accuracy of characteristic maximum load effects." In Bridge Traffic Loading, 143–84. London: CRC Press, 2021. http://dx.doi.org/10.1201/9780429318849-6.
Full textTomanek, Dagmar Piotr, and Jürgen Schröder. "Traffic Load Heat Map – Intralogistisches Verkehrsaufkommen." In Value Added Heat Map, 77–86. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-16895-7_8.
Full textPouzols, Federico Montesino, Diego R. Lopez, and Angel Barriga Barros. "Predictive Models of Network Traffic Load." In Studies in Computational Intelligence, 87–145. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18084-2_3.
Full textConference papers on the topic "Traffic Load"
Amelina, Natalia, Andrey Chernov, Oleg Granichin, Yury Ivanskiy, and Irina Len. "Network Traffic Load Balancing Protocol*." In 2020 European Control Conference (ECC). IEEE, 2020. http://dx.doi.org/10.23919/ecc51009.2020.9143622.
Full textRaida, Vaclav, Martin Lerch, Philipp Svoboda, and Markus Rupp. "Deriving Cell Load from RSRQ Measurements." In 2018 Network Traffic Measurement and Analysis Conference (TMA). IEEE, 2018. http://dx.doi.org/10.23919/tma.2018.8506494.
Full textHedayati, Maysam, Seyed Hossein, Reza Shakerian, and Mohsen Rahmani. "Comparison between traffic load estimated and true traffic load in Mobile ad-hoc network." In 2010 2nd International Conference on Education Technology and Computer (ICETC). IEEE, 2010. http://dx.doi.org/10.1109/icetc.2010.5529333.
Full textChernov, Andrey, Yury Ivanskiy, Irina Len, and Natalia Amelina. "Network Traffic Load Balancing Protocol for Different Priority Traffic." In 2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA). IEEE, 2022. http://dx.doi.org/10.1109/dcna56428.2022.9923119.
Full textYang, ZhongZhen, and Yoshitsugu Hayashi. "Traffic Environmental Load on 3-Dimension Road Network." In International Conference on Traffic and Transportation Studies (ICTTS) 2002. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40630(255)8.
Full textNagesh, H., V. Poosala, Vijay Kumar, P. Winzer, and M. Zirngibl. "Load-balanced architecture for dynamic traffic." In 2005 Optical Fiber Communications Conference Technical Digest. IEEE, 2005. http://dx.doi.org/10.1109/ofc.2005.192558.
Full textRazmkhah, Ali, and Akbar Ghaffarpour Rahbar. "Traffic load heterogeneity in WDM EPONs." In 2011 High Capacity Optical Networks and Enabling Technologies (HONET). IEEE, 2011. http://dx.doi.org/10.1109/honet.2011.6149789.
Full textSakhri, Khadidja, Ahmed Korichi, and Azzaoui Nadjet. "A Novel MPLS Traffic Load Algorithm for Efficient Traffic Management." In 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/aisr.k.220201.027.
Full textXu, Xudong, and Xueyang Zhou. "Strategy for Load Balancing Task Assignment Based on Traffic Load." In 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/fmsmt-17.2017.253.
Full textQian, Wei Huang Zhendong, Zhendong Qian, and Hedong Niu. "Load Stress Analysis of Unbonded Prestressed Concrete Pavement." In International Conference on Traffic and Transportation Studies (ICTTS) 2002. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40630(255)214.
Full textReports on the topic "Traffic Load"
Bao, Jieyi, Xiaoqiang Hu, Cheng Peng, Yi Jiang, Shuo Li, and Tommy Nantung. Truck Traffic and Load Spectra of Indiana Roadways for the Mechanistic-Empirical Pavement Design Guide. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317227.
Full textGaver, Donald P., and J. A. Morrison. Heavy-Traffic Analysis of Multi-Type Queueing under Probabilistically Load-Preferential Service Order. Fort Belvoir, VA: Defense Technical Information Center, August 1990. http://dx.doi.org/10.21236/ada230371.
Full textJiang, Yi, Shuo Li, and Tommy Nantung. Analysis and Determination of Axle Load Spectra and Traffic Input for the Mechanistic-Empirical Pavement Design Guide. West Lafayette, Indiana: Purdue University, 2008. http://dx.doi.org/10.5703/1288284314325.
Full textTerzic, Vesna, and William Pasco. Novel Method for Probabilistic Evaluation of the Post-Earthquake Functionality of a Bridge. Mineta Transportation Institute, April 2021. http://dx.doi.org/10.31979/mti.2021.1916.
Full textRobinson, W. Full-scale evaluation of multi-axial geogrids in road applications. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43549.
Full textRobinson, W. Evaluation of thin flexible pavements under simulated aircraft traffic. Engineer Research and Development Center (U.S.), December 2020. http://dx.doi.org/10.21079/11681/39161.
Full textHuang, Cihang, Yen-Fang Su, and Na Lu. Self-Healing Cementitious Composites (SHCC) with Ultrahigh Ductility for Pavement and Bridge Construction. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317403.
Full textAlbrecht, Jochen, Andreas Petutschnig, Laxmi Ramasubramanian, Bernd Resch, and Aleisha Wright. Comparing Twitter and LODES Data for Detecting Commuter Mobility Patterns. Mineta Transportation Institute, May 2021. http://dx.doi.org/10.31979/mti.2021.2037.
Full textAl-Qadi, Imad, Egemen Okte, Aravind Ramakrishnan, Qingwen Zhou, and Watheq Sayeh. Truck Platooning on Flexible Pavements in Illinois. Illinois Center for Transportation, May 2021. http://dx.doi.org/10.36501/0197-9191/21-010.
Full textAl-Qadi, Imad, Egemen Okte, Aravind Ramakrishnan, Qingwen Zhou, and Watheq Sayeh. Truck-Platoonable Pavement Sections in Illinois’ Network. Illinois Center for Transportation, February 2021. http://dx.doi.org/10.36501/0197-9191/21-002.
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