Date of Award

2017-01-01

Degree Name

Master of Science

Department

Civil Engineering

Advisor(s)

Carlos M. Chang

Abstract

This research develops a methodology to quantify the impact of asphalt pavement conditions on vehicular gas emissions based on statistical analysis to correlate the relationship between asphalt pavement roughness and gas emissions. ANOVA (Analysis of Variance) hypoThesis tests were used to compare the factors affecting the results. The roughness was measured with the International Roughness Index (IRI) using a profilometer provided by TxDOT and the gas emissions were measured with a Portable Emission Measurement System (PEMS).

This research also presents the savings obtained in gas emissions using different maintenance and rehabilitation strategies established by TxDOT (Preventive Maintenance, Light Rehabilitation, Medium Rehabilitation and Heavy Rehabilitation), it also contains the equations obtained to estimate vehicle gas emissions from asphalt pavement conditions. As a result of this research, the conclusion is that the higher the roughness, the higher the gas emissions; or that the lower the roughness, the lower the gas emissions released.

Language

en

Provenance

Received from ProQuest

File Size

153 pages

File Format

application/pdf

Rights Holder

Oscar Daniel Gonzalez Calvo

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