Traffic Management for Smart Cities
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Jaume Barceló | Ellen Grumert | Clas Rydergren | Joakim Ekström | Andreas Allström | David Gundlegård | Ellen F. Grumert | J. Barceló | Andreas Allström | D. Gundlegård | J. Ekström | C. Rydergren
[1] Markos Papageorgiou,et al. Coordinated ramp metering for freeway networks – A model-predictive hierarchical control approach , 2010 .
[2] Haris N. Koutsopoulos,et al. Path inference from sparse floating car data for urban networks , 2013 .
[3] Ernesto Cipriani,et al. Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation , 2016 .
[4] A. Bayen,et al. A traffic model for velocity data assimilation , 2010 .
[5] David M Levinson,et al. Optimal Freeway Ramp Control without Origin-Destination Information , 2004 .
[6] Aude Hofleitner,et al. Leveraging geolocalization technologies to model and estimate urban traffic , 2012 .
[7] Alexandre M. Bayen,et al. Travel Time and Point Speed Fusion Based on a Macroscopic Traffic Model and Non-linear Filtering , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.
[8] Peter Nijkamp,et al. Mobile phone data from GSM networks for traffic parameter and urban spatial pattern assessment: a review of applications and opportunities , 2011, GeoJournal.
[9] Alexandre M. Bayen,et al. Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment , 2009 .
[10] Nikolaos Geroliminis,et al. Properties of a well-defined Macroscopic Fundamental Diagram for urban traffic , 2011 .
[11] Xiaoliang Ma,et al. Analysis of a cooperative variable speed limit system using microscopic traffic simulation , 2015 .
[12] Nikolas Geroliminis,et al. Dynamics of heterogeneity in urban networks: aggregated traffic modeling and hierarchical control , 2015 .
[13] Markos Papageorgiou,et al. ALINEA: A LOCAL FEEDBACK CONTROL LAW FOR ON-RAMP METERING , 1990 .
[14] H. B. Mitchell,et al. Multi-Sensor Data Fusion: An Introduction , 2007 .
[15] Alexandre M. Bayen,et al. Understanding Road Usage Patterns in Urban Areas , 2012, Scientific Reports.
[16] Johan Wideberg,et al. Deriving origin destination data from a mobile phone network , 2007 .
[17] R. E. Kalman,et al. A New Approach to Linear Filtering and Prediction Problems , 2002 .
[18] Markos Papageorgiou,et al. Local Feedback-Based Mainstream Traffic Flow Control on Motorways Using Variable Speed Limits , 2011, IEEE Transactions on Intelligent Transportation Systems.
[19] Nikolaos Geroliminis,et al. Perimeter and boundary flow control in multi-reservoir heterogeneous networks , 2013 .
[20] Bart De Schutter,et al. Optimal coordination of variable speed limits to suppress shock waves , 2005, IEEE Transactions on Intelligent Transportation Systems.
[21] Alexandre M. Bayen,et al. Trade-offs Between Inductive Loops and GPS Probe Vehicles for Travel Time Estimation: Mobile Century Case Study , 2012 .
[22] Nikolaos Geroliminis,et al. On the stability of traffic perimeter control in two-region urban cities , 2012 .
[23] Roberto Horowitz,et al. Optimal freeway ramp metering using the asymmetric cell transmission model , 2006 .
[24] M J Lighthill,et al. On kinematic waves II. A theory of traffic flow on long crowded roads , 1955, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.
[25] Markos Papageorgiou,et al. Modelling and real-time control of traffic flow on the southern part of Boulevard Peripherique in Paris: Part I: Modelling , 1990 .
[26] Klaus Bogenberger,et al. Advanced Coordinated Traffic Responsive Ramp Metering Strategies , 1999 .
[27] Kitae Kim,et al. Evaluation of Technologies for Freeway Travel Time Estimation: Case Study of I-287 in New Jersey , 2011 .
[28] Cynthia Taylor,et al. Fuzzy Ramp Metering: Design Overview and Simulation Results , 1998 .
[29] Vikash V. Gayah,et al. Accuracy of Networkwide Traffic States Estimated from Mobile Probe Data , 2014 .
[30] Bell Atlantic Nynex Mobile. Final evaluation report for the CAPITAL-ITS operational test and demonstration program , 1997 .
[31] J. Barceló. Fundamentals of traffic simulation , 2010 .
[32] Serge P. Hoogendoorn,et al. A Robust and Efficient Method for Fusing Heterogeneous Data from Traffic Sensors on Freeways , 2010, Comput. Aided Civ. Infrastructure Eng..
[33] Andreas Hegyi,et al. SPECIALIST: A dynamic speed limit control algorithm based on shock wave theory , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.
[34] Pu Wang,et al. Development of origin–destination matrices using mobile phone call data , 2014 .
[35] Nikolas Geroliminis,et al. Optimal Perimeter Control for Two Urban Regions With Macroscopic Fundamental Diagrams: A Model Predictive Approach , 2013, IEEE Transactions on Intelligent Transportation Systems.
[36] J. W. C. van Lint,et al. Empirical Evaluation of New Robust Travel Time Estimation Algorithms , 2010 .
[37] Henry Leung,et al. Data fusion in intelligent transportation systems: Progress and challenges - A survey , 2011, Inf. Fusion.
[38] Ernesto Cipriani,et al. A Gradient Approximation Approach for Adjusting Temporal Origin–Destination Matrices , 2011 .
[39] Chris Bachmann,et al. A comparative assessment of multi-sensor data fusion techniques for freeway traffic speed estimation using microsimulation modeling , 2013 .
[40] Clas Rydergren,et al. Optimal toll locations and toll levels in congestion pricing schemes: a case study of Stockholm , 2014 .
[41] A. Hegyi,et al. MPC-based optimal coordination of variable speed limits to suppress shock waves in freeway traffic , 2003, Proceedings of the 2003 American Control Conference, 2003..
[42] Markos Papageorgiou,et al. Integrated feedback ramp metering and mainstream traffic flow control on motorways using variable speed limits , 2014 .
[43] Nikolaos Geroliminis,et al. On the spatial partitioning of urban transportation networks , 2012 .
[44] Andreas Hegyi,et al. SPECIALIST-RM — Integrated variable speed limit control and ramp metering based on shock wave theory , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[45] Carlos F. Daganzo,et al. Urban Gridlock: Macroscopic Modeling and Mitigation Approaches , 2007 .
[46] P J Wong,et al. GUIDELINES FOR DESIGN AND OPERATION OF RAMP CONTROL SYSTEMS , 1975 .
[47] C. Daganzo. THE CELL TRANSMISSION MODEL.. , 1994 .
[48] Vikash V. Gayah,et al. Using Mobile Probe Data and the Macroscopic Fundamental Diagram to Estimate Network Densities , 2013 .
[49] Chris Lee,et al. Evaluation of Variable Speed Limits to Improve Traffic Safety , 2006 .
[50] José Cuena,et al. Knowledge-based models for adaptive traffic management systems , 1995 .
[51] Alexandre M. Bayen,et al. The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data , 2014, WAFR.
[52] Markos Papageorgiou,et al. Traffic-Responsive Linked Ramp-Metering Control , 2008, IEEE Transactions on Intelligent Transportation Systems.
[53] Harry Lahrmann,et al. Bluetooth detektorer som ny cost - effektiv sensor i vejtrafikken Forfattere: , 2010 .
[54] Karine Zeitouni,et al. Proactive Vehicular Traffic Rerouting for Lower Travel Time , 2013, IEEE Transactions on Vehicular Technology.
[55] E. van den Hoogen,et al. Control by variable speed signs: results of the Dutch experiment , 1994 .
[56] Ludovic Leclercq,et al. Macroscopic Fundamental Diagrams: A cross-comparison of estimation methods , 2014 .
[57] Alexandre M. Bayen,et al. An ensemble Kalman filtering approach to highway traffic estimation using GPS enabled mobile devices , 2008, 2008 47th IEEE Conference on Decision and Control.
[58] Hillel Bar-Gera,et al. Evaluation of a Cellular Phone-Based System for Measurements of Traffic Speeds and Travel Times: A Case Study from Israel , 2007 .
[59] Jay H. Lee,et al. Model predictive control: past, present and future , 1999 .
[60] Haris N. Koutsopoulos,et al. Kalman Filter Applications for Traffic Management , 2010 .
[61] Manfred Morari,et al. Model predictive control: Theory and practice - A survey , 1989, Autom..
[62] Bart De Schutter,et al. Model predictive control for optimal coordination of ramp metering and variable speed limits , 2005 .
[63] Anders Peterson,et al. A heuristic for the bilevel origin-destination-matrix estimation problem , 2008 .
[64] Lídia Montero Mercadé,et al. A Kalman-filter approach for dynamic OD estimation in corridors based on bluetooth and Wi-Fi data collection , 2010 .
[65] Larry Rudolph,et al. Bluetooth Essentials for Programmers , 2007 .
[66] R. E. Kalman,et al. New Results in Linear Filtering and Prediction Theory , 1961 .
[67] R. Kalman,et al. New results in linear prediction and filtering theory Trans. AMSE , 1961 .
[68] D. Levinson,et al. Some Properties of Flows at Freeway Bottlenecks , 2004 .
[69] Markos Papageorgiou,et al. Freeway ramp metering: an overview , 2000, ITSC2000. 2000 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.00TH8493).
[70] N. B. Goldstein,et al. A decentralized control strategy for freeway regulation , 1982 .
[71] Yasuo Asakura,et al. Estimation of flow and density using probe vehicles with spacing measurement equipment , 2015 .
[72] Oriol Serch,et al. Exploring Link Covering and Node Covering Formulations of Detection Layout Problem , 2012 .
[73] April Armstrong,et al. Traffic Analysis Toolbox Volume XIII: Integrated Corridor Management Analysis, Modeling, and Simulation Guide , 2012 .
[74] Philip J Tarnoff,et al. Data Collection of Freeway Travel Time Ground Truth with Bluetooth Sensors , 2010 .
[75] Chao Wei,et al. Efficient Traffic State Estimation for Large-Scale Urban Road Networks , 2013, IEEE Transactions on Intelligent Transportation Systems.
[76] Jaume Barceló,et al. A Kalman Filter Approach for Exploiting Bluetooth Traffic Data When Estimating Time-Dependent OD Matrices , 2013, J. Intell. Transp. Syst..
[77] Kun Zhou,et al. A Multimodal Trip Planning System With Real-Time Traffic and Transit Information , 2012, J. Intell. Transp. Syst..
[78] Alexandre M. Bayen,et al. Hybrid Approach for Short-Term Traffic State and Travel Time Prediction on Highways , 2016 .
[79] N. Geroliminis,et al. Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings - eScholarship , 2007 .
[80] Nikolaos Geroliminis,et al. Empirical observations of capacity drop in freeway merges with ramp control and integration in a first-order model , 2013 .
[81] Carlo Ratti,et al. Understanding individual mobility patterns from urban sensing data: A mobile phone trace example , 2013 .
[82] Oriol Serch,et al. Robustness and Computational Efficiency of Kalman Filter Estimator of Time-Dependent Origin–Destination Matrices , 2013 .
[83] Mario E. Magaña,et al. Wireless Data Collection System for Real-Time Arterial Travel Time Estimates , 2011 .
[84] Michael J. Cassidy,et al. Relation between traffic density and capacity drop at three freeway bottlenecks , 2007 .
[85] J. Hellendoorn,et al. Reduction of area-wide emissions using an efficient model-based traffic control strategy , 2011, 2011 IEEE Forum on Integrated and Sustainable Transportation Systems.
[86] Johan M Karlsson,et al. Handover location accuracy for travel time estimation in GSM and UMTS , 2007 .
[87] Fabio Ricciato,et al. Exploiting Cellular Networks for Road Traffic Estimation: A Survey and a Research Roadmap , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.
[88] Bart De Schutter,et al. A Predictive Traffic Controller for Sustainable Mobility Using Parameterized Control Policies , 2012, IEEE Transactions on Intelligent Transportation Systems.
[89] Nils-Hassan Quttineh,et al. Surrogate-based optimization of cordon toll levels in congested traffic networks , 2016 .
[90] Lídia Montero Mercadé,et al. A DUE based bilevel optimization approach for the estimation of time sliced OD matrices , 2014 .
[91] D. Gundlegard,et al. Generating Road Traffic Information from Cellular Networks - New Possibilities in UMTS , 2006, 2006 6th International Conference on ITS Telecommunications.
[92] Dirk Helbing,et al. Reconstructing the spatio-temporal traffic dynamics from stationary detector data , 2002 .
[93] G. Evensen. Data Assimilation: The Ensemble Kalman Filter , 2006 .
[94] Baher Abdulhai,et al. Traffic Data Fusion Using SCAAT Kalman Filters , 2010 .
[95] Ernesto Cipriani,et al. An Adaptive Bi-Level Gradient Procedure for the Estimation of Dynamic Traffic Demand , 2014, IEEE Transactions on Intelligent Transportation Systems.
[96] Geir Evensen,et al. The Ensemble Kalman Filter: theoretical formulation and practical implementation , 2003 .
[97] Stephen G. Ritchie,et al. FREEWAY RAMP METERING USING ARTIFICIAL NEURAL NETWORKS , 1997 .