Empirical Analysis of Toll-Lane Processing Times Using Proportional Odds Augmented MARS

摘要: A large deal of research has been conducted on toll roads to better comprehend the characteristics tolling operations. Several researchers indicated that toll-lane processing time (or service time) is most significant key parameter in calibrating simulated plazas and one central variables affecting capacity. This paper analyzes effects various factors times including traffic characteristics, vehicle plaza characteristics. The proportional odds augmented multivariate adaptive regression splines (MARS) model outperformed was used as final interpreting results. Results indicate charging higher tolls requiring drivers pay with inexact bills have larger times. Increased demand increased interarrival at plaza's outermost right lane also Finally, results during p.m. peak hour are than a.m. hour.