01623364

Component

Road pricing has been advocated for decades as an efficient way of reducing congestion since the 1920s. In the U.S., there are several types of managed lanes, and the high-occupancy-toll (HOT) lane is an application of road pricing on freeway. At the same time, value of time (VOT) is a key factor when deploying congestion pricing. In this study, the authors propose one new approach to estimate drivers’ VOT and determine the real-time tolling strategy for HOT lane simultaneously when lane drop occurs downstream of freeway segment. There are two goals of operating HOT lanes, one is to maximize the freeway’s throughput, and another one is to maintain the free flow speed. The traffic state variables used in this paper is the queue length on HOT lane and turning in-flux of “paid” single-occupancy-vehicles (SOVs). The traffic dynamics is described by a point queue model. When the HOT lane is operated at optimal, the authors can use feedback control algorithm to estimate drivers’ VOT; and the pricing rate for the HOT lane is calculated by the product of estimated VOT and travel time difference of two types of lanes. Simulations results are provided to validate their approach.

This paper was sponsored by TRB committee ABE25 Standing Committee on Congestion Pricing. Alternate title: New Method to Estimate Value of Time for High-Occupancy-Toll Lane Operation.

01618707

17-06620

English

18p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Congestion pricing; High occupancy toll lanes; Travel time; Value of time

Finance; Highways; Operations and Traffic Management

Transportation Research Board Annual Meeting 2017 Paper #17-06620

PRP, TRIS, TRB, ATRI

Dec 8 2016 12:43PM