01023821

Component

https://doi.org/10.3141/1941-05

http://scholar.google.com...nson&publication_year=2005

Long-haul truck drivers idle their vehicles to operate heating systems and air conditioners, generate electricity, charge the vehicles’ batteries, and warm up the engines. This type of idling, which often occurs over extended periods and could be a significant source of emissions, is expected to increase because of the U.S. Department of Transportation’s latest rule mandating that truck drivers rest 10 h for every 14 h of driving. The emissions associated with this type of discretionary idling occurring at the beginning and end of trips are not included in emissions inventories and can be an important contributor to the overall mobile source emissions. There is, therefore, a need to develop a procedure that would yield accurate estimates of extended truck idling emissions. This study developed such a methodology by using a nonattainment area in Texas as a pilot study. On the basis of interviews and observations made at generators such as truck stops, public rest areas, industries, ports, and intermodal facilities, a model was developed to perform the emissions estimates. The procedure was applied to the remaining metropolitan areas in Texas. It was found that extended truck idling emissions were a major source of mobile source emissions, resulting in emissions of more than 30 tons per day of oxides of nitrogen and more than 0.8 ton per day of particulate matter in Texas metropolitan areas. Although these emissions represent less than 4% of the overall on-road mobile source emissions, they are important in assisting nonattainment areas to reach conformity.

01023813

English

pp 34-42

2005

Transportation Research Record: Journal of the Transportation Research Board

030909416X

Print

Figures (1) ; References (12) ; Tables (6)

Diesel trucks; Engine idling; Estimating; Exhaust gases; Heavy duty trucks; Metropolitan areas; Nitrogen oxides; Nonattainment areas; Particulates

Emissions inventories

Texas

Energy; Environment; Highways; Vehicles and Equipment; I15: Environment; I90: Vehicles

TRIS, TRB, ATRI

May 9 2006 3:05PM

• Accuracy of a Traffic Noise Model Using Data from Machine Vision Technology
• Analysis of 11 Bioengineered Stream Bank Erosion Control Structures in Alaska
• Basics of Noise Generation for Pavement Engineers
• Causal Analysis of Hydrogen Acceptance
• Comparison of Traffic Noise Model 2.5 with 2.1 and Measured Data
• Designing On-Road Vehicle Test Programs for the Development of Effective Vehicle Emission Models
• Effect of Fuel Economy on Automobile Safety: A Reexamination
• Energy and Emissions Impacts of Operating Higher-Productivity Vehicles
• Energy Efficiency, Fuel Economy, and Policy Implications
• Evaluating the Ability of Global Positioning System Receivers to Measure a Real-World Operating Mode for Emissions Research
• Impact of Regional Simulation on Emission Estimates
• Introduction of Hybrid and Diesel Vehicles: Status Within the Life Cycle of Technology Adoption
• Measuring and Modeling Emission Effects for Toll Facilities
• Methodology for Developing Transit Bus Speed–Acceleration Matrices for Load-Based Mobile Source Emissions Models
• MOBILE6.2 Modeling of Exhaust Air Toxic Emission Factors: Trend and Sensitivity Analysis
• Multi-Agency Permitting Teams: Teamwork as a Critical Tool to Joint Delivery of Transportation and Environmental Protection Needs
• North Carolina’s Ecosystem Enhancement Program: Mitigation for the Future
• On-Road Vehicle Emission and Activity Data Collection and Evaluation in Houston, Texas
• Pile Driving and Barotrauma Effects
• Reducing Greenhouse Gas Emissions in Texas with High-Volume Fly Ash Concrete
• Streamlining Success of Southeast Arkansas Interstate 69 Connector Project: Integrating Geographic Information System and Stakeholder Involvement
• Surprises from a Field Validation of Speed Estimation Techniques for Air Quality Conformity Analysis
• Travel Characteristics of Urban Freight Vehicles and Their Effects on Emission Factors