Schedule-based and autoregressive bus running time modeling in the presence of driver-bus heterogeneity

Lecture Notes in Economics and Mathematical Systems

Volumn 600, Issue , 2008, Pages 301-317

  Mishalani, Rabi G ^a   McCord, Mark R ^a   Forman, Stacey ^b  

^a The Ohio State University   (United States)

^b TranSystems Corporation   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 53749088461     PISSN: 00758442     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-73312-6_15     Document Type: Conference Paper

References (14)

1. Basinger, S. (2003). Personal communication. Transportation and parking services. The Ohio State University, Columbus, OH.
2. Bertini, R. L. and El-Geneidy, A. M. (2004). Modeling transit trip time using archived bus dispatch system data. Journal of Transportation Engineering, 130(1), 56-67.
3. Bus Location Information System (2003). http://blis.units.ohio-state.edu.
4. Dueker, K. J., Kimpel, T. J., Strathman, J. G., Gerhart, R. L., Turner, K., and Callas, S. (2001). Development of a statistical algorithm for the real-time prediction of transit vehicle arrival times under adverse conditions. (Final report TransNow project PSU-92210). Portland State University.
5. Furth, P. G., Hemily, B. J., Muller, T. H. J., and Strathman, J. G. (2003). Uses of archived AVL APC data to improve transit performance and management: review and potential. Transit cooperative research program, transportation research board. Technical report, The National Academies. Washington, D.C.
6. Greene, W. H. (2003). Econometrics. Prentice Hall, Englewood Cliffs.
7. Hickman, M. D. (2001). An analytic stochastic model for the transit vehicle holding problem. Transportation Science, 35(3), 215-237.
8. Larson, R. C. and Odoni, A. R. (1981). Urban Operations Research. Prentice Hall, Englewood Cliffs.
9. Lin, W. H. and Zeng, J. (1999). Experimental study of real-time bus arrival time prediction with GPS data. Transportation Research Record 1666, pages 101-109.
10. Pindyck, R. S. and Rubinfeld, D. L. (1998). Econometric Models and Economic Forecasts. McGraw Hill, New York.
11. Shalaby, A. and Farhan, A. (2004). Prediction model of bus arrival and departure times using AVL and APC data. Journal of Public Transportation, 7(1), 41-61.
12. Transportation and Parking Services (2001-2002). Campus area bus service sched-ule. Technical report, The Ohio State University, Columbus, OH.
13. Wall, Z. and Dailey, D. J. (1999). An algorithm for predicting the arrival time of mass transit vehicles using automatic vehicle location data. Transportation Research Board 78th Annual Meeting Paper No. 990870.
14. Wei, W. W. S. (1990). Time Series Analysis: Univariate and Multivariate Methods. Addison Wesley, Boston.