Literatura académica sobre el tema "Traffic flow - Urban areas"
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Artículos de revistas sobre el tema "Traffic flow - Urban areas"
Pradhan, R. K., S. Shrestha y D. B. Gurung. "Mathematical modeling of mixed-traffic in urban areas". Mathematical Modeling and Computing 9, n.º 2 (2022): 226–40. http://dx.doi.org/10.23939/mmc2022.02.226.
Texto completoLiao, Zhuhua, Haokai Huang, Yijiang Zhao, Yizhi Liu y Guoqiang Zhang. "Analysis and Forecast of Traffic Flow between Urban Functional Areas Based on Ride-Hailing Trajectories". ISPRS International Journal of Geo-Information 12, n.º 4 (28 de marzo de 2023): 144. http://dx.doi.org/10.3390/ijgi12040144.
Texto completoDong, Yu Bo. "Discussion on Urban Road Traffic Congestion Algorithm for Automatically Determining". Advanced Materials Research 926-930 (mayo de 2014): 3790–93. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3790.
Texto completoNemtanu, Florin, Ilona Madalina Costea y Catalin Dumitrescu. "Spectral Analysis of Traffic Functions in Urban Areas". PROMET - Traffic&Transportation 27, n.º 6 (17 de diciembre de 2015): 477–84. http://dx.doi.org/10.7307/ptt.v27i6.1686.
Texto completoQin, Jiayu, Gang Mei y Lei Xiao. "Building the Traffic Flow Network with Taxi GPS Trajectories and Its Application to Identify Urban Congestion Areas for Traffic Planning". Sustainability 13, n.º 1 (30 de diciembre de 2020): 266. http://dx.doi.org/10.3390/su13010266.
Texto completoStriewski, Sören, Ingo Thomsen y Sven Tomforde. "Adaptive Approaches for Tidal-Flow Lanes in Urban-Road Networks". Future Transportation 2, n.º 3 (27 de junio de 2022): 567–88. http://dx.doi.org/10.3390/futuretransp2030031.
Texto completoZambrano-Martinez, Jorge, Carlos Calafate, David Soler, Lenin-Guillermo Lemus-Zúñiga, Juan-Carlos Cano, Pietro Manzoni y Thierry Gayraud. "A Centralized Route-Management Solution for Autonomous Vehicles in Urban Areas". Electronics 8, n.º 7 (26 de junio de 2019): 722. http://dx.doi.org/10.3390/electronics8070722.
Texto completoHuang, Zhufei, Zihan Zhang, Haijian Li, Lingqiao Qin y Jian Rong. "Determining Appropriate Lane-Changing Spacing for Off-Ramp Areas of Urban Expressways". Sustainability 11, n.º 7 (8 de abril de 2019): 2087. http://dx.doi.org/10.3390/su11072087.
Texto completoKuang, Weiming, Shi An y 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.
Texto completoJ, Cynthia, G. Sakthi Priya, C. Kevin Samuel, Suguna M, Senthil J y S. Abraham Jebaraj. "Traffic Flow Forecasting Using Machine Learning Techniques". Webology 18, n.º 04 (28 de septiembre de 2021): 1512–26. http://dx.doi.org/10.14704/web/v18si04/web18295.
Texto completoTesis sobre el tema "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.
Texto completoAGOSTI, 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.
Texto completoSlavin, 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.
Texto completoMa, Xiaoyi [Verfasser] y 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.
Texto completoAndersson, 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.
Texto completoMariotte, Guilhem. "Dynamic Modeling of Large-Scale Urban Transportation Systems". Thesis, Lyon, 2018. http://www.theses.fr/2018LYSET010/document.
Texto completoCongestion 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.
Texto completoGrau, Mariani Rafael. "A demand-responsive traffic control system for urban areas". Doctoral thesis, Universitat Politècnica de Catalunya, 1995. http://hdl.handle.net/10803/399670.
Texto completoEl 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/.
Texto completoDi, 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.
Texto completoLibros sobre el tema "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.
Buscar texto completoVahl, H. G. Traffic calming through integrated urban planning. Paris: Amarcande, 1990.
Buscar texto completoEngineers, Institute of Transportation. Designing walkable urban thoroughfares: A context sensitive approach. Washington, DC: Institute of Transportation Engineers, 2010.
Buscar texto completoInstitution of Highways and Transportation (Great Britain) y Great Britain. Dept. of Transport., eds. Roads and traffic in urban areas. London: HMSO, 1987.
Buscar texto completoUrban spatial traffic patterns. London: Pion, 1987.
Buscar texto completoNational 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.
Buscar texto completoSchrank, David L. Estimates of urban roadway congestion, 1990. College Station, Tex: Texas Transportation Institute, Texas A&M University System, 1993.
Buscar texto completoSchrank, David L. Estimates of urban roadway congestion, 1990. Washington, DC: Office of Traffic Management and Intelligent Vehicle Highway Systems, Federal Highway Administration, 1993.
Buscar texto completoFisk, C. S. Urban road traffic models for economic appraisal. Lambton Quay, Wellington: Transit New Zealand, 1992.
Buscar texto completoH, Gartner Nathan, Improta Gennaro 1942- y International Seminar on Urban Traffic Networks (2nd : 1992 : Capri, Italy), eds. Urban traffic networks: Dynamic flow modeling and control. Berlin: Springer-Verlag, 1995.
Buscar texto completoCapítulos de libros sobre el tema "Traffic flow - Urban areas"
Hoch, Thomas y Theodorich Kopetzky. "Energy-Efficient Internet of Things Solution for Traffic Monitoring". En 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.
Texto completoCarrese, Stefano, Stefano Gori y Tommaso Picano. "Relationship between Parking Location and Traffic Flows in Urban Areas". En 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.
Texto completoCarpita, Maurizio y Rodolfo Metulini. "Modelling the spatio-temporal dynamic of traffic flows with gravity models and mobile phone data". En Proceedings e report, 99–104. Florence: Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-461-8.19.
Texto completoSingh, Sandeep, R. Vidya, Bishnu Kant Shukla y 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". En Lecture Notes in Civil Engineering, 69–84. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1303-6_6.
Texto completoOprea, Cristina, Mircea Roşca, Şerban Stere y Sergiu Olteanu. "Traffic Modeling in Urban Congested Areas". En 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.
Texto completoFormato, Enrico. "New Urbanization Phenomena and Potential Landscapes: Rhizomatic Grids and Asymmetrical Clusters". En Regenerative Territories, 135–45. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-78536-9_8.
Texto completoMcDonald, John F., Edmond L. d’Ouville y Louie Nan Liu. "An Engineering Model of Traffic Flow". En 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.
Texto completoPavlyuk, Dmitry. "Spatiotemporal Forecasting of Urban Traffic Flow Volatility". En 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.
Texto completoHinz, Stefan, Steffen Suchandt, Diana Weihing y Franz Kurz. "Traffic Data Collection with TerraSAR-X and Performance Evaluation". En Radar Remote Sensing of Urban Areas, 87–108. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3751-0_4.
Texto completoMark Doctor, Patrick Hasson, Hillary Isebrands y John McFadden. "Planning, Design, and Operations of Road Segments and Interchanges in Urban Areas". En Traffic Engineering Handbook, 283–320. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2016. http://dx.doi.org/10.1002/9781119174738.ch9.
Texto completoActas de conferencias sobre el tema "Traffic flow - Urban areas"
Wang, Yue, Ming Chen y Aite Zhao. "Spatio-Temporal Correlation Augmented Model for Traffic Flow Prediction in Urban Areas". En ICBDT 2022: 2022 5th International Conference on Big Data Technologies. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3565291.3565299.
Texto completoXing, Enhui y Rui Wang. "Traffic Flow Characteristics of Urban Expressway in the Period of Ice and Snow of Cold Areas". En 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.
Texto completoGonzalo Orden, Hernán. "Traffic calming measures and their effect on the variation of speed". En CIT2016. Congreso de Ingeniería del Transporte. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.4217.
Texto completoXess, Shruti y Dr Akshey Bhargava. "Carrying capacity of Urban Transportation Networks: A case study of designed ideal city". En 7th GoGreen Summit 2021. Technoarete, 2021. http://dx.doi.org/10.36647/978-93-92106-02-6.12.
Texto completoBiliszczuk, Jan, Hanna Onysyk, Marco Teichgraeber y Robert Toczkiewicz. "Solutions to the problem of safe pedestrian traffic flow in cities". En 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.
Texto completoJang, Dae-Sung, Corey A. Ippolito, Shankar Sankararaman y Vahram Stepanyan. "Concepts of Airspace Structures and System Analysis for UAS Traffic flows for Urban Areas". En AIAA Information Systems-AIAA Infotech @ Aerospace. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-0449.
Texto completoKosovac, Amel, Muharem Šabić, Ermin Muharemović y Edvin Šimić. "Shipment delivery challenges using unmanned aerial vehicles". En 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.
Texto completoAttanasi, Alessandro, Lorenzo Meschini, Marco Pezzulla, Gaetano Fusco, Guido Gentile y Natalia Isaenko. "A hybrid method for real-time short-term predictions of traffic flows in urban areas". En 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.
Texto completoKmoniček, Hrvoje y Filip Ruška. "Changes in traffic infrastructure with the arrival of autonomous vehicles". En 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.
Texto completoOlayode, O. I., L. K. Tartibu y M. O. Okwu. "Application of Adaptive Neuro-Fuzzy Inference System Model on Traffic Flow of Vehicles at a Signalized Road Intersections". En ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70956.
Texto completoInformes sobre el tema "Traffic flow - Urban areas"
Kothuri, Sirisha. Exploring Pedestrian Responsive Traffic Signal Timing Strategies in Urban Areas. Portland State University Library, enero de 2000. http://dx.doi.org/10.15760/etd.1933.
Texto completoSlavin, Courtney. The Relationship Between Traffic Signals and Pedestrian, Bicyclist and Transit User Exposure in Urban Areas. Portland State University Library, enero de 2000. http://dx.doi.org/10.15760/etd.616.
Texto completoKodupuganti, Swapneel R., Sonu Mathew y Srinivas S. Pulugurtha. Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions. Mineta Transportation Institute, enero de 2021. http://dx.doi.org/10.31979/mti.2021.1802.
Texto completoKumar, Kaushal y Yupeng Wei. Attention-Based Data Analytic Models for Traffic Flow Predictions. Mineta Transportation Institute, marzo de 2023. http://dx.doi.org/10.31979/mti.2023.2211.
Texto completoTran, My-Thu y Bo Yang. Using Thermal Remote Sensing to Quantify Impact of Traffic on Urban Heat Islands during COVID. Mineta Transportation Institute, abril de 2023. http://dx.doi.org/10.31979/mti.2023.2207.
Texto completoLin, 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, enero de 2004. http://dx.doi.org/10.5038/cutr-nctr-rr-2014-06.
Texto completoSiebke, Christian, Maximilian Bäumler, Madlen Ringhand, Marcus Mai, Felix Elrod y Günther Prokop. Report on integration of the stochastic traffic simulation. Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.246.
Texto completoSiebke, Christian, Maximilian Bäumler, Madlen Ringhand, Marcus Mai, Felix Elrod y Günther Prokop. Report on design of modules for the stochastic traffic simulation. Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.245.
Texto completoAdsit, Sarah E., Theodora Konstantinou, Konstantina Gkritza y Jon D. Fricker. Public Acceptance of INDOT’s Traffic Engineering Treatments and Services. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317280.
Texto completoRinghand, Madlen, Maximilian Bäumler, Christian Siebke, Marcus Mai y 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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