A Road Pricing Model for Congested Highways Based on Link Densities

A road pricing model is presented that determines tolls for congested highways. The main contribution of this paper is to include density explicitly in the pricing scheme and not just flow and time. The methodology solves a nonlinear constrained optimization problem whose objective function maximize...

Full description

Saved in:
Bibliographic Details
Published in:Journal of advanced transportation 2017-01, Vol.2017 (2017), p.1-12
Main Authors: de Grange, Louis, González, Felipe, Troncoso, Rodrigo
Format: Article
Language:English
Subjects:
Analysis
Capital costs
Cost recovery
Economic aspects
Highway design
Highways
Infrastructure
Objective function
Optimization
Parameter estimation
Prices and rates
Public policy
Road use pricing
Roads & highways
Toll roads
Tolls
Traffic assignment
Traffic congestion
Transportation
User behavior
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A road pricing model is presented that determines tolls for congested highways. The main contribution of this paper is to include density explicitly in the pricing scheme and not just flow and time. The methodology solves a nonlinear constrained optimization problem whose objective function maximizes toll revenue or highway use (2 scenarios). The results show that the optimal tolls depend on highway design and the level of congestion. The model parameters are estimated from a Chile’s highway data. Significant differences were found between the highway’s observed tolls and the optimal toll levels for the two scenarios. The proposed approach could be applied to either planned highway concessions with recovery of capital costs or the extension or retendering of existing concessions.
ISSN:0197-6729
2042-3195
DOI:10.1155/2017/3127398