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Quantifying the Impact of Truck Only Lanes on Vehicular Emissions on a Limited-Access Highway

Abstract

dc:description.abstract

<p>This thesis seeks to estimate CO<sub>2</sub> emissions on a portion of the U.S. 101 highway in San Luis Obispo County before and after construction of a truck only lane on the Cuesta Grade. Towards that aim, the microsimulation software, VISSIM, was used in conjunction with the Environmental Protection Agency’s emissions model, MOVES. The microsimulation model was calibrated and validated against historical and present traffic volumes obtained from Caltrans with good results using several validation measures. It was found that CO<sub>2</sub> emissions did decrease between 1998 and 2012 (pre and post lane addition), but this effect was shown to be different for the northbound (uphill) and southbound (downhill) directions. It was shown that the truck lane in the northbound (uphill) direction had a 9.5% decrease in volume with 10.7% decrease in emissions, and the southbound (downhill) direction had a 20.3% increase in volume but 7.4% decrease in emissions. For the northbound (uphill) direction, emissions seemed to correlate more closely with volumes, while the southbound (downhill) direction was less sensitive to these changes.</p>

Degree

thesis:*
Name thesis:degree_name
MS in Civil and Environmental Engineering
Discipline thesis:degree_discipline
Civil and Environmental Engineering
Year dc:date.available
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Tang, Edward Chee
Contributors dc:contributor
  • Anurag Pande

Subjects

dc:subject × 7

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:digitalcommons.calpoly.edu:theses-2951

Chain of custody

source
Harvested from
Cal Poly
Base URL
digitalcommons.calpoly.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Tang, Edward Chee. Quantifying the Impact of Truck Only Lanes on Vehicular Emissions on a Limited-Access Highway. 2017. https://digitalcommons.calpoly.edu/theses/1743