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Batterman S, Cook R, Justin T. Temporal variation of traffic on highways and the development of accurate temporal allocation factors for air pollution analyses. Atmos Environ (1994). 2015;107:351-363doi: 10.1016/j.atmosenv.2015.02.047.
Batterman, S., Cook, R., & Justin, T. (2015). Temporal variation of traffic on highways and the development of accurate temporal allocation factors for air pollution analyses. Atmospheric environment (Oxford, England : 1994), 107351-363. https://doi.org/10.1016/j.atmosenv.2015.02.047
Batterman, Stuart, et al. "Temporal variation of traffic on highways and the development of accurate temporal allocation factors for air pollution analyses." Atmospheric environment (Oxford, England : 1994) vol. 107 (2015): 351-363. doi: https://doi.org/10.1016/j.atmosenv.2015.02.047
Batterman S, Cook R, Justin T. Temporal variation of traffic on highways and the development of accurate temporal allocation factors for air pollution analyses. Atmos Environ (1994). 2015 Apr;107:351-363. doi: 10.1016/j.atmosenv.2015.02.047. PMID: 25844042; PMCID: PMC4380130.
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Atmos Environ (1994). 2015 Apr;107:351-363. doi: 10.1016/j.atmosenv.2015.02.047.

Temporal variation of traffic on highways and the development of accurate temporal allocation factors for air pollution analyses.

Atmospheric environment (Oxford, England : 1994)

Stuart Batterman, Richard Cook, Thomas Justin

Affiliations

  1. Department of Environmental Health Sciences, School of Public Health, University of Michigan, 1420 Washington Heights, Ann Arbor, MI 48109, USA.
  2. Health Effects, Benefits, and Air Toxics Center, Assessment and Standards Division, Office of Transportation and Air Quality, U. S. Environmental Protection Agency, Ann Arbor, MI, USA.
  3. College of Engineering, University of Michigan, Ann Arbor, MI, USA.

PMID: 25844042 PMCID: PMC4380130 DOI: 10.1016/j.atmosenv.2015.02.047

Abstract

Traffic activity encompasses the number, mix, speed and acceleration of vehicles on roadways. The temporal pattern and variation of traffic activity reflects vehicle use, congestion and safety issues, and it represents a major influence on emissions and concentrations of traffic-related air pollutants. Accurate characterization of vehicle flows is critical in analyzing and modeling urban and local-scale pollutants, especially in near-road environments and traffic corridors. This study describes methods to improve the characterization of temporal variation of traffic activity. Annual, monthly, daily and hourly temporal allocation factors (TAFs), which describe the expected temporal variation in traffic activity, were developed using four years of hourly traffic activity data recorded at 14 continuous counting stations across the Detroit, Michigan, U.S. region. Five sites also provided vehicle classification. TAF-based models provide a simple means to apportion annual average estimates of traffic volume to hourly estimates. The analysis shows the need to separate TAFs for total and commercial vehicles, and weekdays, Saturdays, Sundays and observed holidays. Using either site-specific or urban-wide TAFs, nearly all of the variation in historical traffic activity at the street scale could be explained; unexplained variation was attributed to adverse weather, traffic accidents and construction. The methods and results presented in this paper can improve air quality dispersion modeling of mobile sources, and can be used to evaluate and model temporal variation in ambient air quality monitoring data and exposure estimates.

Keywords: Classification; Freeways; Highways; Mobile sources; Traffic; Vehicles

References

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