A Novel Doubly Stochastic Transit Assignment Formulation: An Application to Singapore Bus Network

HKIE Transactions Hong Kong Institution of Engineers

Volumn 16, Issue 4, 2009, Pages 63-71

  Yuen, Szeto Wai ^a   Solayappan, Muthu ^b  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Effective Travel Cost; Reliability based Stochastic User Equilibrium; Singapore Bus Network; Transit Assignment; Variational Inequality

Indexed keywords

BUSES; COST FUNCTIONS; COSTS; NUMERICAL ANALYSIS; RELIABILITY; SENSITIVITY ANALYSIS; TRAFFIC CONGESTION; TRANSPORTATION; VARIATIONAL TECHNIQUES;

BUS NETWORKS; EFFECTIVE TRAVEL COST; SINGAPORE; STOCHASTIC USER EQUILIBRIUM; TRANSIT ASSIGNMENT; TRAVEL COSTS; VARIATIONAL INEQUALITIES;

STOCHASTIC SYSTEMS;

EID: 77449151921     PISSN: 1023697X     EISSN: None     Source Type: Journal    
DOI: 10.1080/1023697X.2009.10668177     Document Type: Article

References (21)

1. Abdel-Aty, M.A., Kitamura, R. and Jovanis, P.P., Using Stated Preference Data for Studying the Effect of Advanced Traffic Information on Drivers’ Route Choice. Transportation Research Part C. Volume 5, No 1, pp39–50. Elsevier, USA (1997).
2. Cascetta, E., Nuzzolo, A., Russo F., Vitetta, A., A New Route Choice Logit Model Overcoming IIA Problems:Specification and some Calibration Results for Interurban Networks. Proceedings of the 13th International Symposium on Transportation and Traffic Theory, Lyon, France. pp697–711. Pergamon, USA (1996).
3. Cepeda, M., Corninetti, R. and Florian, M., A Frequency-based Assignment Model for Congested Transit Networks with Strict Capacity Constraints:Characterisation and Computation of Equilibria. Transportation Research Part B. Volume 40, No 6, pp437–459. Elsevier, USA (2006).
4. Cominetti, R. and Correa, J., Common-lines and Passenger Assignment in Congested Transit Networks. Transportation Science. Volume 35, No 3, pp250–267. The Institute for Operations Research and the Management Sciences. USA (2001).
5. De Cea, J. and Fernández, E., Transit Assignment for Congested Public Transport Systems:an Equilibrium Model. Transportation Science. Volume 27, No 2, pp133–147. The Institute for Operations Research and the Management Sciences. USA (1993).
6. Jackson, W.B. and Jucker, J.V., An Empirical Study of Travel Time Variability and Travel Choice Behaviour. Transportation Science. Volume 16, No 4, pp460–475. The Institute for Operations Research and the Management Sciences. USA (1982).
7. Lam, W.H.K., Gao, Z.Y., Chan, K.S. and Yang, H., A Stochastic User Equilibrium Assignment Model for Congested Transit Networks. Transportation Research Part B. Volume 33, No 5, pp351–368. Elsevier, USA (1999).
8. Lam, W.H.K., Zhou, J. and Sheng, Z.H., A Capacity Restraint Transit Assignment with Elastic Line Frequency. Transportation Research Part B. Volume 36, No 10, pp919–938. Elsevier, USA (2002).
9. Lo, H.K., Luo, X.W. and Siu, B.W.Y., Degradable Transport Network:Travel Time Budget of Travelers with Heterogeneous Risk Aversion. Transportation Research Part B. Volume 40, No 9, pp792–806. Elsevier, USA (2006).
10. Nagurney, A. Network Economics:A Variational Inequality Approach. Kluwer Academic Publishers. USA (1999).
11. Nguyen, S., Pallottino, S. and Malucelli, F., A Modelling Framework for Passenger Assignment on a Transport Network with Timetables. Transportation Science. Volume 35, No 3, pp238–249. The Institute for Operations Research and the Management Sciences. USA (2001).
12. Nökel, K. and Wekeck, S., Boarding and Alighting in Frequency-based Transit Assignment. Paper presented at the 88th Annual Transportation Research Board Meeting. Washington D C. January (2009).
13. Nuzzolo, A., Russo, F. and Crisallir, U., A Doubly Dynamic Schedule-based Assignment Model for Transit Networks. Transportation Science. Volume 35, No 3, pp268–285. The Institute for Operations Research and the Management Sciences. USA (2001).
14. Poon, M.H., Wong, S.C. and Tong, C.O., A Dynamic Schedule-based Model for Congested Transit Networks. Transportation Research Part B. Volume 38, No 4, pp343–368. Elsevier, USA (2004).
15. Ran, B. and Boyce, D., Modelling Dynamic Transportation Networks. An Intelligent Transportation System Oriented Approach. Springer-verlag. Germany (1996).
16. Shao, H., Lam, W.H.K. and Tam, M., A Reliability-based Stochastic Traffic Assignment Model for Network with Multiple User Classes under Uncertainty in Demand. Networks and Spatial and Economics. Volume 6, No 3, pp173–204. Springer. The Netherlands (2006).
17. Sheffi, Y., Urban Transportation Networks:Equilibrium Analysis with Mathematical Programming Methods. Prentice Hall. USA (1985).
18. Spiess, H. and Florian, M., Optimal Strategies:a New Assignment Model for Transit Networks. Transportation Research Part B. Volume 23, No 2, pp83–102. Elsevier, USA (1989).
19. Szeto, W.Y., O’Brien, L. and O’Mahony, M., Risk-averse Traffic Assignment with Elastic Demands:NCP Formulation and Solution Method for Assessing Performance Reliability. Network and Spatial Economics. Volume 6, No 3–4, pp313–332. Springer. The Netherlands (2006).
20. Teklu, F., A Stochastic Process Approach for Frequency-based Transit Assignment with Strict Capacity Constraints. Networks and Spatial Economics. Volume 8, No 2, pp225–240. Springer. The Netherlands (2008).
21. Yin, Y., Lam, W.H.K. and Ieda, H., New Technology and the Modelling of Risk Taking Behaviour in Congested Road Networks. Transportation Research Part C. Volume 12, No 3, pp171–192. Elsevier, USA (2004).