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Статті в журналах з теми "Traffic flow - Urban areas"
Pradhan, R. K., S. Shrestha, and D. B. Gurung. "Mathematical modeling of mixed-traffic in urban areas." Mathematical Modeling and Computing 9, no. 2 (2022): 226–40. http://dx.doi.org/10.23939/mmc2022.02.226.
Повний текст джерелаLiao, Zhuhua, Haokai Huang, Yijiang Zhao, Yizhi Liu, and Guoqiang Zhang. "Analysis and Forecast of Traffic Flow between Urban Functional Areas Based on Ride-Hailing Trajectories." ISPRS International Journal of Geo-Information 12, no. 4 (March 28, 2023): 144. http://dx.doi.org/10.3390/ijgi12040144.
Повний текст джерелаDong, Yu Bo. "Discussion on Urban Road Traffic Congestion Algorithm for Automatically Determining." Advanced Materials Research 926-930 (May 2014): 3790–93. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3790.
Повний текст джерелаNemtanu, Florin, Ilona Madalina Costea, and Catalin Dumitrescu. "Spectral Analysis of Traffic Functions in Urban Areas." PROMET - Traffic&Transportation 27, no. 6 (December 17, 2015): 477–84. http://dx.doi.org/10.7307/ptt.v27i6.1686.
Повний текст джерелаQin, Jiayu, Gang Mei, and Lei Xiao. "Building the Traffic Flow Network with Taxi GPS Trajectories and Its Application to Identify Urban Congestion Areas for Traffic Planning." Sustainability 13, no. 1 (December 30, 2020): 266. http://dx.doi.org/10.3390/su13010266.
Повний текст джерелаStriewski, Sören, Ingo Thomsen, and Sven Tomforde. "Adaptive Approaches for Tidal-Flow Lanes in Urban-Road Networks." Future Transportation 2, no. 3 (June 27, 2022): 567–88. http://dx.doi.org/10.3390/futuretransp2030031.
Повний текст джерелаZambrano-Martinez, Jorge, Carlos Calafate, David Soler, Lenin-Guillermo Lemus-Zúñiga, Juan-Carlos Cano, Pietro Manzoni, and Thierry Gayraud. "A Centralized Route-Management Solution for Autonomous Vehicles in Urban Areas." Electronics 8, no. 7 (June 26, 2019): 722. http://dx.doi.org/10.3390/electronics8070722.
Повний текст джерелаHuang, Zhufei, Zihan Zhang, Haijian Li, Lingqiao Qin, and Jian Rong. "Determining Appropriate Lane-Changing Spacing for Off-Ramp Areas of Urban Expressways." Sustainability 11, no. 7 (April 8, 2019): 2087. http://dx.doi.org/10.3390/su11072087.
Повний текст джерелаKuang, Weiming, Shi An, and Huifu Jiang. "Detecting Traffic Anomalies in Urban Areas Using Taxi GPS Data." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/809582.
Повний текст джерелаJ, Cynthia, G. Sakthi Priya, C. Kevin Samuel, Suguna M, Senthil J, and S. Abraham Jebaraj. "Traffic Flow Forecasting Using Machine Learning Techniques." Webology 18, no. 04 (September 28, 2021): 1512–26. http://dx.doi.org/10.14704/web/v18si04/web18295.
Повний текст джерелаДисертації з теми "Traffic flow - Urban areas"
Kothuri, Sirisha Murthy. "Exploring Pedestrian Responsive Traffic Signal Timing Strategies in Urban Areas." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/1934.
Повний текст джерелаAGOSTI, ABRAMO. "MODELS OF TURBULENCE. APPLICATIONS TO PARTICULATE MIXING INDUCED BY TRAFFIC FLOW IN URBAN AREAS." Doctoral thesis, Università degli Studi di Milano, 2013. http://hdl.handle.net/2434/217169.
Повний текст джерелаSlavin, Courtney Natasha. "The Relationship Between Traffic Signals and Pedestrian, Bicyclist and Transit User Exposure in Urban Areas." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/616.
Повний текст джерелаMa, Xiaoyi [Verfasser], and Dieter [Akademischer Betreuer] Schramm. "Effects of Vehicles with Different Degrees of Automation on Traffic Flow in Urban Areas / Xiaoyi Ma ; Betreuer: Dieter Schramm." Duisburg, 2021. http://d-nb.info/123032271X/34.
Повний текст джерелаAndersson, Lovisa. "An application of Bayesian Hidden Markov Models to explore traffic flow conditions in an urban area." Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385187.
Повний текст джерелаMariotte, Guilhem. "Dynamic Modeling of Large-Scale Urban Transportation Systems." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSET010/document.
Повний текст джерелаCongestion in urban areas has become a major issue in terms of economic, social or environmental impact. For short or mid term, using dynamic road traffic simulation can help analyzing and providing guidelines to optimization policies of existing infrastructures. Today, because of the complexity of transport systems, classical modeling tools are limited to small geographical areas (of a district size). Computational time, together with simulation calibration, are notably very constraining at large scales. However, a new generation of models designed for metropolitan areas has arisen over the past decades. These models are based on a phenomenological relationship between travel production and the number of vehicles in a given spatial area of a road network, known as the Macroscopic Fundamental Diagram (MFD). This relationship, supported by empirical evidences from several cities around the world, has allowed the study of different traffic control schemes at a whole city scale, but was rarely used for traffic state forecasting. The aim of this PhD is to propose an efficient modeling tool, based upon the concept of MFD, to simulate and analyze traffic states in large metropolitan areas. The theoretical framework of this tool must be consistent and applicable for traffic state forecasting, development of new control policies, traffic emission estimation, etc. There are two major contributions in this PhD. The first one is analyzing the mathematical and physical properties of existing models, and formalizing the dynamics of several trip lengths inside the same urban zone. In particular, this formalization distinguishes between internal trips and trips crossing the zone. Flow merging and diverging issues are also addressed when congestion propagates from one zone to another. The second contribution is proposing a new trip-based model based on individual traveled distance. This approach allows to treat users independently (previously represented with continuous flows), and thus to define their characteristics more precisely to couple their trips with assignment models on different paths. Finally, examples of application from various collaborations are given in the last part of this thesis. It includes a simulation study of the Grand Lyon urban area (France), as well as new modules to simulate search-for-parking or perimeter control. This PhD is part of a European ERC project entitled MAGnUM: Multiscale and Multimodal Traffic Modeling Approach for Sustainable Management of Urban Mobility
Goulart, Elisa Valentim. "Flow and dispersion in urban areas." Thesis, University of Reading, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.578021.
Повний текст джерелаGrau, Mariani Rafael. "A demand-responsive traffic control system for urban areas." Doctoral thesis, Universitat Politècnica de Catalunya, 1995. http://hdl.handle.net/10803/399670.
Повний текст джерелаEl objetivo de esta tesis es el diseño, desarrollo y test por simulación microscópica de un sistema autoadaptativo apto para cruces aislados, arterias y redes urbanas complejas. El sistema produce planes de control acíclicos y presenta unos requerimientos de tiempo real muy flexibles debidos a utilizar una nueva secuencia cíclica de tareas en la que se predice el estado del sistema a corto término antes de probar planes de control alternativos. Estas pruebas se realizan mediante un modelo interno de simulación que sigue un enfoque mesoscópico a base de paquetes de vehículos de velocidad variable, con el que se consigue modelizar la dinámica de colas de vehículos de forma más exacta que con los sistemas actualmente existentes. Esto da una ventaja, corroborada en los test, en condiciones de flujo altas, con lo que el sistema de controles es capaz de mantener una buena efectividad en un amplio rango de condiciones de tráfico. El sistema viene acompañado de un entorno de simulación y test que aporta un alto grado de integración y de facilidad de uso, a lo largo de todo el proceso de especificación de geometría, parámetros y ejecución de simulación se mantiene una vista de la red de tráfico altamente realista.
Bostock, Adam K. "Prediction and reduction of traffic pollution in urban areas." Thesis, University of Nottingham, 1994. http://eprints.nottingham.ac.uk/14352/.
Повний текст джерелаDi, Sabatino Silvana. "Flow and pollutant dispersion in urban areas." Thesis, University of Cambridge, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.615192.
Повний текст джерелаКниги з теми "Traffic flow - Urban areas"
Hanks, James W. Roadway congestion in major urban areas, 1982 to 1987. College Station, Tex: Texas Transportation Institute, the Texas A&M University System, 1989.
Знайти повний текст джерелаVahl, H. G. Traffic calming through integrated urban planning. Paris: Amarcande, 1990.
Знайти повний текст джерелаEngineers, Institute of Transportation. Designing walkable urban thoroughfares: A context sensitive approach. Washington, DC: Institute of Transportation Engineers, 2010.
Знайти повний текст джерелаInstitution of Highways and Transportation (Great Britain) and Great Britain. Dept. of Transport., eds. Roads and traffic in urban areas. London: HMSO, 1987.
Знайти повний текст джерелаUrban spatial traffic patterns. London: Pion, 1987.
Знайти повний текст джерелаNational Research Council (U.S.). Transportation Research Board., ed. Traffic flow, capacity, roadway lighting, and urban traffic systems, 1990. Washington, D.C: Transportation Research Board, National Research Council, 1990.
Знайти повний текст джерелаSchrank, David L. Estimates of urban roadway congestion, 1990. College Station, Tex: Texas Transportation Institute, Texas A&M University System, 1993.
Знайти повний текст джерелаSchrank, David L. Estimates of urban roadway congestion, 1990. Washington, DC: Office of Traffic Management and Intelligent Vehicle Highway Systems, Federal Highway Administration, 1993.
Знайти повний текст джерелаFisk, C. S. Urban road traffic models for economic appraisal. Lambton Quay, Wellington: Transit New Zealand, 1992.
Знайти повний текст джерелаH, Gartner Nathan, Improta Gennaro 1942-, and International Seminar on Urban Traffic Networks (2nd : 1992 : Capri, Italy), eds. Urban traffic networks: Dynamic flow modeling and control. Berlin: Springer-Verlag, 1995.
Знайти повний текст джерелаЧастини книг з теми "Traffic flow - Urban areas"
Hoch, Thomas, and Theodorich Kopetzky. "Energy-Efficient Internet of Things Solution for Traffic Monitoring." In Energy-Efficient and Semi-automated Truck Platooning, 129–41. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88682-0_10.
Повний текст джерелаCarrese, Stefano, Stefano Gori, and Tommaso Picano. "Relationship between Parking Location and Traffic Flows in Urban Areas." In Advanced Methods in Transportation Analysis, 183–214. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-85256-5_9.
Повний текст джерелаCarpita, Maurizio, and Rodolfo Metulini. "Modelling the spatio-temporal dynamic of traffic flows with gravity models and mobile phone data." In Proceedings e report, 99–104. Florence: Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-461-8.19.
Повний текст джерелаSingh, Sandeep, R. Vidya, Bishnu Kant Shukla, and S. Moses Santhakumar. "Analysis of Traffic Flow Characteristics Based on Area-Occupancy Concept on Urban Arterial Roads Under Heterogeneous Traffic Scenario—A Case Study of Tiruchirappalli City." In Lecture Notes in Civil Engineering, 69–84. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1303-6_6.
Повний текст джерелаOprea, Cristina, Mircea Roşca, Şerban Stere, and Sergiu Olteanu. "Traffic Modeling in Urban Congested Areas." In Proceedings of the 4th International Congress of Automotive and Transport Engineering (AMMA 2018), 766–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94409-8_89.
Повний текст джерелаFormato, Enrico. "New Urbanization Phenomena and Potential Landscapes: Rhizomatic Grids and Asymmetrical Clusters." In Regenerative Territories, 135–45. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-78536-9_8.
Повний текст джерелаMcDonald, John F., Edmond L. d’Ouville, and Louie Nan Liu. "An Engineering Model of Traffic Flow." In Economics of Urban Highway Congestion and Pricing, 9–14. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5231-4_2.
Повний текст джерелаPavlyuk, Dmitry. "Spatiotemporal Forecasting of Urban Traffic Flow Volatility." In Lecture Notes in Networks and Systems, 63–72. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68476-1_6.
Повний текст джерелаHinz, Stefan, Steffen Suchandt, Diana Weihing, and Franz Kurz. "Traffic Data Collection with TerraSAR-X and Performance Evaluation." In Radar Remote Sensing of Urban Areas, 87–108. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3751-0_4.
Повний текст джерелаMark Doctor, Patrick Hasson, Hillary Isebrands, and John McFadden. "Planning, Design, and Operations of Road Segments and Interchanges in Urban Areas." In Traffic Engineering Handbook, 283–320. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2016. http://dx.doi.org/10.1002/9781119174738.ch9.
Повний текст джерелаТези доповідей конференцій з теми "Traffic flow - Urban areas"
Wang, Yue, Ming Chen, and Aite Zhao. "Spatio-Temporal Correlation Augmented Model for Traffic Flow Prediction in Urban Areas." In ICBDT 2022: 2022 5th International Conference on Big Data Technologies. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3565291.3565299.
Повний текст джерелаXing, Enhui, and Rui Wang. "Traffic Flow Characteristics of Urban Expressway in the Period of Ice and Snow of Cold Areas." In Seventh International Conference on Traffic and Transportation Studies (ICTTS) 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41123(383)41.
Повний текст джерелаGonzalo Orden, Hernán. "Traffic calming measures and their effect on the variation of speed." In CIT2016. Congreso de Ingeniería del Transporte. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.4217.
Повний текст джерелаXess, Shruti, and Dr Akshey Bhargava. "Carrying capacity of Urban Transportation Networks: A case study of designed ideal city." In 7th GoGreen Summit 2021. Technoarete, 2021. http://dx.doi.org/10.36647/978-93-92106-02-6.12.
Повний текст джерелаBiliszczuk, Jan, Hanna Onysyk, Marco Teichgraeber, and Robert Toczkiewicz. "Solutions to the problem of safe pedestrian traffic flow in cities." In IABSE Congress, New York, New York 2019: The Evolving Metropolis. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/newyork.2019.2354.
Повний текст джерелаJang, Dae-Sung, Corey A. Ippolito, Shankar Sankararaman, and Vahram Stepanyan. "Concepts of Airspace Structures and System Analysis for UAS Traffic flows for Urban Areas." In AIAA Information Systems-AIAA Infotech @ Aerospace. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-0449.
Повний текст джерелаKosovac, Amel, Muharem Šabić, Ermin Muharemović, and Edvin Šimić. "Shipment delivery challenges using unmanned aerial vehicles." In INTERNATIONAL CONFERENCE ON ADVANCES IN TRAFFIC AND COMMUNICATION TECHNOLOGIES. University of Sarajevo - Faculty of Traffic and Communications, 2022. http://dx.doi.org/10.59478/atct.2022.22.
Повний текст джерелаAttanasi, Alessandro, Lorenzo Meschini, Marco Pezzulla, Gaetano Fusco, Guido Gentile, and Natalia Isaenko. "A hybrid method for real-time short-term predictions of traffic flows in urban areas." In 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2017. http://dx.doi.org/10.1109/mtits.2017.8005637.
Повний текст джерелаKmoniček, Hrvoje, and Filip Ruška. "Changes in traffic infrastructure with the arrival of autonomous vehicles." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1074.
Повний текст джерелаOlayode, O. I., L. K. Tartibu, and M. O. Okwu. "Application of Adaptive Neuro-Fuzzy Inference System Model on Traffic Flow of Vehicles at a Signalized Road Intersections." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70956.
Повний текст джерелаЗвіти організацій з теми "Traffic flow - Urban areas"
Kothuri, Sirisha. Exploring Pedestrian Responsive Traffic Signal Timing Strategies in Urban Areas. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1933.
Повний текст джерелаSlavin, Courtney. The Relationship Between Traffic Signals and Pedestrian, Bicyclist and Transit User Exposure in Urban Areas. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.616.
Повний текст джерелаKodupuganti, Swapneel R., Sonu Mathew, and Srinivas S. Pulugurtha. Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1802.
Повний текст джерелаKumar, Kaushal, and Yupeng Wei. Attention-Based Data Analytic Models for Traffic Flow Predictions. Mineta Transportation Institute, March 2023. http://dx.doi.org/10.31979/mti.2023.2211.
Повний текст джерелаTran, My-Thu, and Bo Yang. Using Thermal Remote Sensing to Quantify Impact of Traffic on Urban Heat Islands during COVID. Mineta Transportation Institute, April 2023. http://dx.doi.org/10.31979/mti.2023.2207.
Повний текст джерелаLin, Pei-Sung. Coordinated Pre-Preemption of Traffic Signals to Enhance Railroad Grade Crossing Safety in Urban Areas and Estimation of Train Impacts to Arterial Travel Time Delay. Tampa, FL: University of South Florida, January 2004. http://dx.doi.org/10.5038/cutr-nctr-rr-2014-06.
Повний текст джерелаSiebke, Christian, Maximilian Bäumler, Madlen Ringhand, Marcus Mai, Felix Elrod, and Günther Prokop. Report on integration of the stochastic traffic simulation. Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.246.
Повний текст джерелаSiebke, Christian, Maximilian Bäumler, Madlen Ringhand, Marcus Mai, Felix Elrod, and Günther Prokop. Report on design of modules for the stochastic traffic simulation. Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.245.
Повний текст джерелаAdsit, Sarah E., Theodora Konstantinou, Konstantina Gkritza, and Jon D. Fricker. Public Acceptance of INDOT’s Traffic Engineering Treatments and Services. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317280.
Повний текст джерелаRinghand, Madlen, Maximilian Bäumler, Christian Siebke, Marcus Mai, and Felix Elrod. Report on validation of the stochastic traffic simulation (Part A). Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.242.
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