Modeling IVHSEmission Impacts Volume II: Assessement Of The Caline 4 Line Source Dispersion Model
This report assesses the ability of the emission estimating algorithms contained in version 4 of the CALINE line source dispersion model developed by Caltrans (CALINE 4) to accurately predict carbon monoxide emissions from a fleet of motor vehicles. The CALINE 4 model contains algorithms that predict carbon monoxide emissions from discrete modal events of idle, cruise, acceleration, and deceleration. The modified CALINE 4 model algorithms are used to predict CO impacts of an applied intelligent vehicle and highway system concept, automatic vehicle identification applied to electronic tolling operations. The analyses show that electronic tolling in place of conventional toll plazas offers significant CO reductions under three different operating scenarios. The authors conclude that under certain applications, Intelligent Vehicle Highway Systems (IVHS) technologies can be beneficial to air quality.
|Date of creation:||01 Jan 1994|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.escholarship.org/repec/its/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Washington, Simon P. & Guensler, Randall, 1994. "Carbon Monoxide Impacts of Automatic Vehicle Identification Applied to Electronic Vehicle Tolling," University of California Transportation Center, Working Papers qt92v0436v, University of California Transportation Center.
When requesting a correction, please mention this item's handle: RePEc:cdl:itsrrp:qt6t0669zt. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lisa Schiff)
If references are entirely missing, you can add them using this form.