EconPapers    
Economics at your fingertips  
 

On a Paper by Andre de Palma, Moshe Ben-Akiva, Claude Lefèvre, and Nicolaos Litinas Entitled “Stochastic Equilibrium Model of Peak Period Traffic Congestion”

Vanolin F. Hurdle
Additional contact information
Vanolin F. Hurdle: University of Toronto, Toronto, Canada

Transportation Science, 1986, vol. 20, issue 4, 287-289

Abstract: A paper published in 1983 in this journal by A. de Palma et al. uses a deterministic queueing supply model in combination with a random utility demand model to predict the pattern of traffic flows during a peak period. Two different versions of the supply model are included, a “basic model” which is identical to the supply model used by a number of other authors investigating the same general problem (e.g., M. J. Smith [Smith, M. J. 1984. The existence of a time-dependent equilibrium distribution of arrivals at a single bottleneck. Trans. Sci. 18 385--394.]), and a more complicated “extended model.” As detailed below, there is a mathematical discrepancy in the analysis. Because of this discrepancy, some of the conclusions about the traffic flow pattern in the case of the extended model are incorrect and all are unproven. For the simpler---and seemingly more realistic---basic model, the discrepancy vanishes and the conclusions remain valid.

Date: 1986
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://dx.doi.org/10.1287/trsc.20.4.287 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ortrsc:v:20:y:1986:i:4:p:287-289

Access Statistics for this article

More articles in Transportation Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:ortrsc:v:20:y:1986:i:4:p:287-289