Statistical estimation of railroad congestion delay

Transportation Research Part E: Logistics and Transportation Review

Volumn 45, Issue 3, 2009, Pages 446-456

  Gorman, Michael F ^a  

^a UNIVERSITY OF DAYTON   (United States)

Author keywords

Econometric modeling; Freight rail; Rail congestion; Statistical prediction

Indexed keywords

CONGESTION DELAY; ECONOMETRIC MODELLING; FREIGHT RAIL; PREDICTIVE FACTORS; RAIL CONGESTION; RELATED FACTORS; RUNNING TIME; STATISTICAL ESTIMATION; STATISTICAL PREDICTION; TIME-PERIODS;

CONGESTION; ECONOMETRICS; ESTIMATION METHOD; FORECASTING METHOD; RAILWAY; STATISTICAL ANALYSIS;

EID: 64549123037     PISSN: 13665545     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tre.2008.08.004     Document Type: Article

References (20)

1. Association of American Railroads (AAR), 2005. The importance of adequate rail investment. .
2. Association of American Railroads (AAR), 2008. Overview of America's Freight Railroads. .
3. Brannlund U., Lindberg P.O., Nôu A., and Nilsson J.E. Railway timetabling using lagrangian relaxation. Transportation Science 32 4 (1998) 358-369
4. Bronzini M.S., and Clarke D.B. Estimating rail line capacity and delay by computer simulation. Transportation Forum 2 1 (1985) 5-11
5. Caprara A., Fischetti M., and Toth P. Modeling and solving the train timetabling problem. Operations Research 50 5 (2002) 851-861
6. Carey M. Extending a train pathing model from one-way to two-way track. Transportation Research B 28B 5 (1994) 395-400
7. Carey M. A model and strategy for train pathing with choice of lines, platforms, and routes. Transportation Research B 28B 5 (1994) 333-353
8. Carey M., and Kwiecinski A. Stochastic approximation to the effects of headways on knock-on delays of trains. Transportation Research B 28B 4 (1994) 251-257
9. Delorme X., Rodriguez J., and Gandibleux X. Heuristics for railway infrastructure saturation. Theoretical Computer Science 50 1 (2001) 39-53
10. Ekman J. Capacity estimation of new infrastructure based on a discrete event model of train paths. Advances in Transport 15 (2004) 539-548 Computers in Railways IX
11. Fransoo J.C., and Bertranda J. Aggregate capacity estimation model for the evaluation of railroad passing constructions. Transportation Research, Part A 34 1 (2000) 35-49
12. Gibson S., Cooper G., and Ball B. Developments in transport policy: the evolution of capacity charges on the UK rail network. Journal of Transport Economics and Policy 36 2 (2002) 341-354
13. Harrod, S., 2008. Railway capacity management and planning, Ph.D. doctoral dissertation, University of Cincinnati.
14. Higgins A., Kozan E., and Ferreira L. Modelling delay risks associated with train schedules. Transportation Planning and Technology 19 (1995) 89-108
15. Huisman T., and Boucherie R. Running times on railway sections with heterogeneous train traffic. Transportation Research Part B 35 (2001) 271-292
16. Jones R.H., and Boadi-Boateng F. Unequally spaced longitudinal data with AR(1) serial correlation. Biometrics 47 (1991) 161-175
17. Kozan E., and Burdett R. A railway capacity determination model and rail access charging methodologies. Transportation Planning and Technology 28 1 (2005) 27-45
18. Krueger, H., 1999. Parametric modeling in rail capacity planning. In: Proceedings of Winter Simulation Conference, Phoenix, AR.
19. Prokopy, J.C., Rubin, R.B., 1975. Parametric analysis of railway line capacity. DOT-FR-5014-2, Federal Railroad Association, US Department of Transportation, Washington, DC.
20. Vromans M., Dekker R., and Kroon L. Reliability and heterogeneity of railway services. European Journal of Operational Research 172 (2006) 647-655