2006
Yang, Z. -Z.; Miao, G. -Q.; Feng, T.
Forecast on maximum car ownership with constraint of environmental capacity in urban Journal Article
In: Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, vol. 19, iss. 6, 2006, ISSN: 10017372.
Abstract | BibTeX | Tags: Bi-level programming model, Car ownership, Sensitivity analysis, Traffic engineering, Traffic environmental capacity, Traffic volume assignment
@article{Yang2006,
title = {Forecast on maximum car ownership with constraint of environmental capacity in urban},
author = {Z. -Z. Yang and G. -Q. Miao and T. Feng},
issn = {10017372},
year = {2006},
date = {2006-01-01},
journal = {Zhongguo Gonglu Xuebao/China Journal of Highway and Transport},
volume = {19},
issue = {6},
abstract = {A model which is a bi-level optimal problem and can forecast the maximum car ownership in urban with constraint of urban environmental capacity was developed. The upper level maximizes the car ownership subjected to the environmental capacity constraint, where the objective function is the maximum of the sum of zonal car population and constraints are environmental capacities on all links. The lower level assigns the OD traffic on road network with user equilibrium method, which simulates the behaviors of traveller path selection and forecasts distribution and running characteristics of traffic demand on road network. In order to realize the feedback between the two levels and solve two optimization problem simultaneously, an algorithm based on sensitivity analysis was developed and a numerical test was used to verify the effectiveness of model and algorithm.},
keywords = {Bi-level programming model, Car ownership, Sensitivity analysis, Traffic engineering, Traffic environmental capacity, Traffic volume assignment},
pubstate = {published},
tppubtype = {article}
}
A model which is a bi-level optimal problem and can forecast the maximum car ownership in urban with constraint of urban environmental capacity was developed. The upper level maximizes the car ownership subjected to the environmental capacity constraint, where the objective function is the maximum of the sum of zonal car population and constraints are environmental capacities on all links. The lower level assigns the OD traffic on road network with user equilibrium method, which simulates the behaviors of traveller path selection and forecasts distribution and running characteristics of traffic demand on road network. In order to realize the feedback between the two levels and solve two optimization problem simultaneously, an algorithm based on sensitivity analysis was developed and a numerical test was used to verify the effectiveness of model and algorithm.