A unified framework for estimating or updating origin/destination matrices from traffic counts |
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| Authors: | Ennio Cascetta Sang Nguyen |
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| Institution: | 1. Preventive cardiovascular unit, institute of cardiometabolism and nutrition,ICAN, groupe hospitalier universitaire Pitié-Salpêtrière, Assistance publique–Hôpitaux de Paris,75651 Paris cedex 13, France;2. Inserm 1146, CNRS 7371, laboratoire d’imagerie biomédicale, Sorbonne universités, UPMC univiversité Paris 06, 75013 Paris, France;3. Imaging Core Lab, institute of cardiometabolism and nutrition, ICAN, 75651 Paris cedex 13, France;1. Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA;2. Department of Computer Science, North Carolina State University, Raleigh, NC, USA;1. Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong;2. Department of Statistics, University of Warwick, United Kingdom;1. IVT, ETH Zurich, Stefano-Franscini-Platz 5, CH-8093 Zurich, Switzerland;2. Orange Labs, 44 avenue de la Republique, CS 50010, FR-92326 Chatillon Cedex, France;3. Open Lab, School of Computing, Newcastle University, Urban Sciences Building, Wellington St, Newcastle upon Tyne NE4 5TC, UK;1. Department of Civil Engineering, Faculty of Engineering, Monash University, VIC 3800, Melbourne, Australia;2. School of Engineering, RMIT University, VIC 3000, Melbourne, Australia;3. School of Civil and Environmental Engineering, UNSW Sydney, NSW 2032, Sydney, Australia;4. Mathematical Sciences, School of Science, RMIT University, VIC 3000, Melbourne, Australia;5. Department of Transport and Planning, Delft University of Technology, 2628 CN, Delft, the Netherlands |
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| Abstract: | This paper presents an in-depth study of the methodology for estimating or updating origin-to-destination trip matrices from traffic counts. Following an analysis of the statistical foundation of the estimation and updating problems, various basic approaches are reviewed using a generic traffic assignment map. Computational issues related to specific assignment maps and estimation models for both road and transit networks are then discussed. Finally, additional insight into the relative performance of several estimators is provided by a set of test problems with varying input data. |
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