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Simulation of Congestion Phenomena and Strategic Passenger Behaviour on Transit Networks Cover

Simulation of Congestion Phenomena and Strategic Passenger Behaviour on Transit Networks

Open Access
|Apr 2018

References

  1. 1. Beckman, M., McGuire, C., and Winsten, C. (1956) Studies in the economics of transportation. Yale University Press.
  2. 2. Bellman, R. (1958) On a routing problem. Q Appl Math, 16:87-90.10.1090/qam/102435
  3. 3. Cascetta, E. (2009) Transportation Systems Analysis Models and Applications. Springer.10.1007/978-0-387-75857-2_1
  4. 4. De Cea, J. and Fernandez, E. (1993) Transit assignment for congested public transport system: An equilibrium model. Transportation Science, 27(2):133-147.10.1287/trsc.27.2.133
  5. 5. Dijkstra, E.W. (1959) A note on two problems in connexion with graphs. Numer Math, 1:269-271.10.1007/BF01386390
  6. 6. Dora, C. and Phillips, M. (2000) Transport, environment and health. WHO Regional Publications, European Series, 89.
  7. 7. Florian, M., Florian, D., and Constantin, I. (2009) A new look at projected gradient method for equilibrium assignment. Transportation Research Record: Journal of the Transportation Research Board, 2090:10-16.10.3141/2090-02
  8. 8. Gentile, G. (2016) Solving a Dynamic User Equilibrium model based on Splitting Rates with Gradient Projection algorithms. Transportation Research Part B 92, 120-14710.1016/j.trb.2016.02.005
  9. 9. Gentile, G. (2017) Formulation of the transit link transmission model. Transportation Research Procedia, 27:889-896.10.1016/j.trpro.2017.12.105
  10. 10. Gentile, G. and Noekel, K. (2016) Modelling Public Transport Passenger Flows in the Era of Intelligent Transport System: COST Act ion TU1004 (TransITS). Springer.10.1007/978-3-319-25082-3
  11. 11. Gentile, G., Florian, M., Hamdouch, Y., Cats, O., and Nuzzolo, A. (2016a) The theory of transit assignment: basic modelling frameworks. In Gentile, G. and Noekel, K., editors, Modelling Public Transport Passenger Flows in the Era of Intelligent Transport System: COST Act ion TU1004 (TransITS), chapter 6, 287-386. Springer.10.1007/978-3-319-25082-3_6
  12. 12. Gentile, G., Noekel, K., Schmocker, J.D., Trozzi, V., and Chandakass, E. (2016b) The theory of transit assignment: demand and supply phenomena. In Gentile, G. and Noekel, K., editors, Modelling Public Transport Passenger Flows in the Era of Intelligent Transport System: COST Act ion TU1004 (TransITS), chapter 7, 387-439. Springer.10.1007/978-3-319-25082-3_7
  13. 13. Kurauchi, F., Bell, M.G.H., and Schmocker, J.D. (2003) Capacity constrained transit assignment with common lines. J Math Model Algorithms, 24:309-327.10.1023/B:JMMA.0000020426.22501.c1
  14. 14. Oxford Economic Forecasting (2003) The economic effects of transport delays on the city of London. Corporation of the City of London, pages 26-27.
  15. 15. Rosen, J.B. (1960) The gradient projection method for nonlinear programming. Part I. linear constraints. Journal of the Society for Industrial and Applied Mathematics, 8:181-217.10.1137/0108011
  16. 16. Spiess, H. and Florian, M. (1989) Optimal Strategies: A new assignment model for transit networks. Journal of Transportation Research, 23B(2):83-10210.1016/0191-2615(89)90034-9
  17. 17. WHO/Europe (2017) Transport and health. - http://www.euro.who.int/en/healthtopics/environmentand-health/, last visited Dec 23, 2017.
DOI: https://doi.org/10.2478/ttj-2018-0007 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
Language: English
Page range: 77 - 92
Published on: Apr 28, 2018
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2018 Lory Michelle Bresciani Miristice, Dario Menichetti, Guido Gentile, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.