Stamos, Iraklis and Salanova Grau, Josep Maria and Mitsakis, Evangelos (2013): Μακροσκοπικά Θεμελιώδη Διαγράμματα: Ευρήματα μέσω Προσομοίωσης για το Οδικό Δίκτυο της Θεσσαλονίκης.
Preview |
PDF
MPRA_paper_61538.pdf Download (1MB) | Preview |
Abstract
Within the framework of this paper, the existence of a Macroscopic Fundamental Diagram (MFD) for the city of Thessaloniki is discussed, obtained through a traffic simulation software. Initial findings show that there is a well-defined MFD, which is a property of a network, as it is not influenced by changes in travel demand. The MFD can be used as tool for managing traffic at real-time and for improving accessibility in an area, through pricing strategies and entrance points control based on the accumulation of vehicles.
Item Type: | MPRA Paper |
---|---|
Original Title: | Μακροσκοπικά Θεμελιώδη Διαγράμματα: Ευρήματα μέσω Προσομοίωσης για το Οδικό Δίκτυο της Θεσσαλονίκης |
English Title: | Macroscopic fundamental diagrams: Simulation based findings from the road network of Thessaloniki. |
Language: | Greek |
Keywords: | Macroscopic Fundamental Diagram Traffic Simulation Traffic Flow Traffic Density |
Subjects: | R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R4 - Transportation Economics > R41 - Transportation: Demand, Supply, and Congestion ; Travel Time ; Safety and Accidents ; Transportation Noise |
Item ID: | 61538 |
Depositing User: | Dr Evangelos Mitsakis |
Date Deposited: | 25 Jan 2015 09:20 |
Last Modified: | 28 Sep 2019 01:36 |
References: | Buisson, Ch., & Ladier, C. (2009). Exploring the impact of the homogeneity of Traffic Measurement on the existence of macroscopic fundamental diagrams. In Proceedings of the 88th Annual Meeting of the Transportation Research Board Transportation Research Board, U.S.A Courbon, C. & Leclercq, L. (2011). Cross-comparison of Macroscopic Fundamental Diagram Estimation Methods. Procedia Social and Behavioral Sceinecs 20, 417-426. Cassidy M. J., Jang K. / Daganzo C., (2011). Macroscopic Fundamental Diagrams for Freeway Networks. Transportation Research Record 2660, Transportation Research Board, 8-15. Daganzo, C.F. (2005a). Improving city mobility through gridlock control: an approach and some ideas, Working Paper UCB-ITS-VWP-2005-1, U.C. Berkeley Center of Excellence on Future Urban Transport, University of California, Berkeley, CA. Daganzo, C.F. (2005b). A variational formulation of kinematic waves: Basic theory and complex boundary conditions. Transportation Research Part B 39(2), 187-196. Daganzo, C.F. (2007). Urban gridlock: macroscopic modeling and mitigation approaches. Transportation Research part B 41, 49-62. Daganzo, C.F., & Geroliminis, Ν. (2008). An analytical approximation for the macroscopic fundamental diagram of urban traffic. Transportation Research Part B 42(9), 771-781. 14 Gentile G., & Noekel K. (2009). Linear User Cost Equilibrium: the new algorithm for traffic assignment in VISUM. Proceedings of European Transport Conference 2009, Leeuwenhorst Conference Centre, Netherlands. Geroliminis, N. & Daganzo, C.F. (2007). Macroscopic modeling of traffic in cities. 86th Annual Meeting of the Transportation Research Board, paper # 07-0413, Washington DC. Geroliminis, N. & Sun J., (2011a). Properties of a well-defined macroscopic fundamental diagram for urban traffic. Transportation Research Part B 45, 605-617. Geroliminis, N. & Sun J., (2011b). Hysteresis phenomena of a Macroscopic Fundamental Diagram in freeway networks. Transportation Research Part A 45, 966-979. Godfrey, J.W. (1969). The mechanism of a road network. Traffic Engineering & Control 11 (7). Greenberg, H. (1959). An analysis of traffic flow. Operation Research 7 (1), 79–85. Greenshields, B.D. (1934). A study of traffic capacity. Proceedings of Highway Research Board 14, 448–477. Herman, R. & Ardekani, S.A. (1984). Characterizing traffic conditions in urban areas. Transportation Science 18 (2), 101–140. Herman, R. & Prigogine, I. (1979). A two-fluid approach to town traffic. Science 204, 148–151. Ji, Y., & Geroliminis N., (2011). Spatial and Temporal Analysis of Congestion in Urban Transportation Networks. In Proceedings of the 90th Annual Meeting of the Transportation Research Board Transportation Research Board, U.S.A Knoop, V. L., Hoogendoorn, S. P. & Van Lint, J. W. C., (2012). The impact of Traffic Dynamics on the Macroscopic Fundamental Diagram. In Proceedings of the 92nd Annual Meeting of the Transportation Research Board Transportation Research Board, U.S.A Knoop, V. L. & Hoogendoorn, (2012). Empirics of a Generalized Macroscopic Fundamental Diagram. In Proceedings of the 92nd Annual Meeting of the Transportation Research Board Transportation Research Board, U.S.A Laval, J. A. (2010). The Effect Of Signal Timing And Network Irregularities In The Macroscopic Fundamental Diagram. Presented at the Traffic Flow Theory Sumer Meeting, France. Mahmassani, H., Williams, J. C. & Herman, R. (1987). Performance of urban traffic networks. In: Gartner, N. H., Wilson, N. H. M. (Eds.), 10th Int. Symp. on Transportation and Traffic Theory. Elsevier, Amsterdam, The Netherlands. Mazloumian, A., Geroliminis N. and Helbing D. (2010). The Spatial Variability of Vehicle Densities 17 as Determinant of Urban Network Capacity. Philosophical Transactions of Royal Society A. Thomson, J.M. (1967). Speeds and flows of traffic in Central London. Traffic Engineering and Control 8 (12), 721–725. Traffic Control Systems Handbook (TCSH) (2008). Control and management concepts for freeways. US Department of Transportation, Federal Highway Administration. Williams, J. C., Mahmassani, H. S. & Herman R. (1987). Urban Traffic Network Flow Models. Transportation Research Record 1112, Transportation Research Board. Zahavi, Y. (1972). Traffic performance evaluation of road networks by the α-relationship. Parts 1 and 2 - Traffic Engineering & Control 14 (5 and 6), 228–231and 292–293. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/61538 |