Empirical Analysis of Toll-Lane Processing Times Using Proportional Odds Augmented MARS
Publication: Journal of Transportation Engineering
Volume 136, Issue 11
Abstract
A large deal of research has been conducted on toll roads to better comprehend the characteristics of the tolling operations. Several researchers indicated that toll-lane processing time (or service time) is the most significant key parameter in calibrating simulated toll plazas and one of the central variables affecting toll-lane capacity. This paper analyzes the effects of various factors on toll-lane processing times including traffic characteristics, vehicle characteristics, and toll plaza characteristics. The proportional odds augmented multivariate adaptive regression splines (MARS) model outperformed the proportional odds model and was used as the final model in interpreting the results. Results indicate that plazas charging higher tolls and plazas requiring drivers to pay with inexact bills have larger processing times. Increased demand and increased interarrival times at the toll plaza’s outermost right lane also have higher processing times. Finally, results indicate that processing times during the p.m. peak hour are higher than the a.m. peak hour.
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Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 136 • Issue 11 • November 2010
Pages: 1039 - 1048
Copyright
© 2010 ASCE.
History
Received: Apr 30, 2009
Accepted: Apr 19, 2010
Published online: May 11, 2010
Published in print: Nov 2010
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