Estimation of the network capacity for multimodal urban systems

Procedia - Social and Behavioral Sciences

Volumn 16, Issue , 2011, Pages 803-813

  Boyaci, Burak ^a   Geroliminis, Nikolas ^a  

^a EPFL   (Switzerland)

Author keywords

Macroscopic fundamental diagram; Multimodal systems; Network capacity

Indexed keywords

EID: 79960071414     PISSN: 18770428     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.sbspro.2011.04.499     Document Type: Conference Paper

References (30)

1. Ardekani, S., & Herman, R. (1987). Urban network-wide traffic variables and their relations. Transportation Science, 21, 1-16. (Pubitemid 17529989)
2. Black, J. A., Lim, P. N., & Kim, G. H. (1992). A traffic model for the optimal allocation of arterial road space: a case study of seoul's first experimental bus lane. Transportation Planning and Technology, 16, 195-207.
3. Boyaci, B., & Geroliminis, N. (2010). Exploring the effect of variability of urban systems characteristics in the network capacity. In 89th Annual Meeting of the Transportation Research Board. Washington D.C.
4. Buisson, C., & Ladier, C. (2009). Exploring the impact of homogeneity of traffic measurements on the existence of macroscopic fundamental diagrams. Transportation Research Record, 2124, 127-136.
5. Ceder, A. (2007). Public transit planning and operation: theory, modelling and practice. Butterworth-Heinemann.
6. Ceder, A., & Wilson, N. H. M. (1986). Bus network design. Transportation Research Part B: Methodological, 20, 331-344.
7. Chen, C., Varaiya, P., & Kwon, J. (2005). An empirical assessment of traffic operations. Proceedings 16th International Symposium on Transportation and Traffic Theory (pp. 105-124). Amsterdam, Netherlands: Elsevier.
8. Currie, G., Sarvi, M., & Young, B. (2004). Urban transport x urban transport and the environment in the 21st century. chapter A New Methodology for Allocating Road Space for Public Transport Priority. (pp. 375-388). Germany: WITpress.
9. Daganzo, C. F. (2005). A variational formulation of kinematic waves: basic theory and complex boundary conditions. Transportation Research Part B: Methodological, 39, 187-196. (Pubitemid 40032218)
10. Daganzo, C. F., & Cassidy, M. J. (2008). Effects of high occupancy vehicle lanes on freeway congestion. Transportation Research Part B: Methodological, 42, 861-872.
11. Daganzo, C. F., Gayah, V. V., & Gonzales, E. J. (2010). Macroscopic relations of urban traffic variables: Bifurcations, multivaluedness and instability. Transportation Research Part B: Methodological, 242, 861-872.
12. Daganzo, C. F., & Geroliminis, N. (2008). An analytical approximation for the macroscopic fundamental diagram of urban traffic. Transportation Research Part B: Methodological, 42, 771-781.
13. Dahlgren, J. (1998). High occupancy vehicle lanes: Not always more effective than general purpose lanes. Transportation Research Part A: Policy and Practice, 32, 99-114. (Pubitemid 128402535)
14. Geroliminis, N., & Daganzo, C. F. (2007). Macroscopic modeling of traffic in cities. In 86th Annual Meeting of the Transportation Research Board. Washington, DC. Paper No. 07-0413.
15. Geroliminis, N., & Daganzo, C. F. (2008). Existence of urban-scale macroscopic fundamental diagrams: some experimental findings. Transportation Research Part B: Methodological, 42, 759-770.
16. Geroliminis, N., & Sun, J. (2010a). Hysteresis phenomena of a macroscopic fundamental diagram in freeway networks. Submitted for publication.
17. Geroliminis, N., & Sun, J. (2010b). Properties of a well-defined macroscopic fundamental diagram for urban traffic. In 89th Annual Meeting of the Transportation Research Board. Washington D.C.
18. Godfrey, J. W. (1969). The mechanism of a road network. Traffic Engineering and Control, 11, 323-327.
19. Hickman, M. D., Mirchandani, P. B., & Voss, S. (2008). Computer-aided systems in public transport volume 600 of Lecture notes in economics and mathematical systems. Berlin Heidelberg: Springer.
20. Ji, Y., Daamen,W., Hoogendoorn, S., Hoogendoorn-Lanser, S., & Qian, X. (2010). Investigating the shape of the macroscopic fundamental diagram using simulation data. Transportation Research Record, 2161, 40-48.
21. Mahmassani, H. S., & Peeta, S. (1993). Network performance under system optimal and user equilibrium dynamic assignments: implications for advanced traveler information systems. Transportation Research Record, 1408, 83-93.
22. Olszewski, P., Fan, H. S. L., & Tan, Y.-W. (1995). Area-wide traffic speed-flow model for the singapore cbd. Transportation Research Part A: Policy and Practice, 29, 273-281. (Pubitemid 26431362)
23. Ott, R. (2002). The zurich experience. In Alternatives to Congestion Charging. Transport Policy Committee.
24. Radwan, A. E., & Benevelli, D. A. (1983). Bus priority strategy: justification and environmental aspects. Journal of Transportation Engineering, 109, 88-106.
25. Smeed, R. J. (1967). The road capacity of city centers. Highway Research Record, 169, 22-29.
26. Sparks, G. A., & May, A. (1971). A mathematical model for evaluating priority lane operations on freeways. Highway Research Record, 363, 27-42.
27. Vuchic, V. R. (1981). Urban public transportation: Systems and technology. Prentice-Hall.
28. Wardrop, J. G. (1968). Journey speed and flow in central urban areas. Traffic Engineering and Control, 9, 528-532.
29. Williams, J. C., Mahmassani, H. S., & Herman, R. (1987). Urban traffic network flow models. Transportation Research Record, 1112, 78-88.
30. Wirasinghe, S. C., Hurdle, V. F., & Newell, G. F. (1977). Optimal parameters for a coordinated rail and bus transit system. Transportation Science, 11, 359-374. (Pubitemid 8603757)