Technical Papers
Apr 22, 2016

Development of Emission Factors for an Urban Road Network Based on Speed Distributions

Publication: Journal of Transportation Engineering
Volume 142, Issue 9

Abstract

To investigate the feasibility of incorporating speed distributions instead of average speeds to develop emission factors for emission estimations, this research collects large amounts of emission and traffic activity data. First, the relationship between emission factors and average speeds is developed. Second, speed distributions during daytime hours for classified roads are analyzed to find the speed distribution on the expressway followed the bimodal distribution; speed distributions on arterials and collectors followed the same distribution pattern, but with a single peak. Third, the research develops emission factors for the road network based on speed distributions, then compared these with those found using the traditional average-speed-based method. A comparative analysis shows even though both emission factors for these two distinct methods presented a similar variation trend, the results from the average-speed-based method were lower. The research identifies two reasons for those differences. First, speed distributions are flatter during peak hours, and secondly, the relationship between average speeds and emission factors is nonlinear in nature; thus, the relative differences in the low-speed fraction increased more significantly during peak hours.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The authors acknowledge the support of this paper by National Basic Research Program of China # 2012CB725403, the Natural Science Foundation of China (NSFC) # 71273024 and 51208033, the National Science Foundation (NSF) Grant # 1137732, and the Fundamental Research Funds # 2016YJS078. The authors are thankful to all the personnel who either provided technical support or helped with data collection and processing.

References

Ahn, K., Rakha, H., Trani, A., and Van Aerde, M. (2002). “Estimating vehicle fuel consumption and emissions based on instantaneous speed and acceleration levels.” J. Transp. Eng., 128(2), 182–190.
Barlow, T. J., Hickman, A. J., and Boulter, P. (2001). Exhaust emission factors 2000: Database and emission factors, Transport Research Laboratory, Dept. for Transport, Berkshire, U.K.
Beijing Municipal Vehicle Emissions Management Center. (2013). “2013 annual report of vehicle emissions control in Beijing.” Beijing (in Chinese).
Beijing Transportation Research Center. (2013). “2012 Annual report of road traffic emission control in Beijing.” Beijing (in Chinese).
California Environmental Protection Agency. (2013). EMFAC 2011-LDV User’s guide, CA.
Chatterjee, A., et al. (1997). “Improving transportation data for mobile source emissions estimates.” NCHRP Rep., Transportation Research Board, Washington, DC.
Daganzo, C. (1997). Fundamentals of transportation and traffic operations, Emerald, Pergamon-Elsevier, Oxford, U.K.
Eggleston, S., Gorißen, N., Joumard, R., Rijkeboer, R. C., Samaras, Z., and Zierock, K. H. (1989). “CORINAIR working group on emission factors for calculating 1985 emissions from road traffic. Volume 1: Methodology and emission factors.” Transport Research Laboratory, Berkshire, U.K.
European Environment Agency. (2013). EMEP/EEA air pollutant emission inventory guidebook 2013, Copenhagen, Denmark.
Kota, S. H., Ying, Q., and Schade, G. W. (2012). “MOVES vs. MOBILE6.2: Differences in emission factors and regional air quality predictions.” Proc., Transportation Research Board 91st Annual Meeting, National Research Council, Washington, DC.
Kristensson, A., et al. (2004). “Real-world traffic emission factors of gases and particles measured in a road tunnel in Stockholm, Sweden.” Atmos. Environ., 38(5), 657–673.
Li, M., Boriboonsomsin, K., Wu, G., Zhang, W., and Barth, M. (2009). “Traffic energy and emission reductions at signalized intersections: A study of the benefits of advanced driver information.” Int. J. ITS Res., 7(1), 49–58.
Nesamani, K. S., Chu, L., McNally, M. G., and Jayakrishnan, R. (2007). “Estimation of vehicular emissions by capturing traffic variations.” Atmos. Environ., 41(14), 2996–3008.
Scora, G., and Barth, M. (2006). Comprehensive modal emissions model (CHEM) version 3.01, Univ. of California, Riverside, CA.
Smit, R., Poelman, M., and Schrijverb, J. (2008). “Improved road traffic emission inventories by adding mean speed distributions.” Atmos. Environ., 42(5), 916–926.
Smit, R., Smokers, R., and Rabe, E. (2007). “A new modeling approach for road traffic emissions: VERSIT+.” Transp. Res. Part D: Trans. Environ., 12(6), 414–422.
Song, G., Yu, L., and Wu, Y. (2014). “Development of speed correction factors based on speed-specific VSP distributions for urban restricted access roadways in Beijing.” Proc., Transportation Research Board 93rd Annual Meeting, National Research Council, Washington, DC.
Standing Committee of Beijing Municipal People’s Congress. (2010). “Implementing of law of the People’s Republic of China on road traffic safety.” Beijing (in Chinese).
Sun, Z., Hao, P., Ban, X., and Yang, D. (2015). “Trajectory-based vehicle energy/emissions estimation for signalized arterials using mobile sensing data.” Transp. Res. Part D, 34(34), 27–40.
Trozzi, C., Vaccaro, R., and Crocetti, S. (1996). “Speed frequency distribution in air pollutants’ emissions estimate from road traffic.” Sci. Total Environ., 189, 181–185.
U.S. EPA. (2010). “Development of emission rates for light-duty vehicles in the motor vehicle emissions simulator (MOVES2010).”, Washington, DC.
USEPA (U.S. Environmental Protection Agency). (2003). User’s guide to MOBILE6.1 and MOBILE6.2, Washington, DC.
Yu, L., Wang, Z., Qiao, F., and Qi, Y. (2008). “Approach to development and evaluation of driving cycles for classified roads based on vehicle emission characteristics.” Transp. Res. Rec., 2058, 58–67.
Zhu, L., Wen, H., and Sun, J. (2008). “Floating car based real-time-traffic-info collection system in Beijing.” Urban Trans. China, 6(1), 77–80 (in Chinese).
Zissis, S., and Theodoros, Z. (1999). “An integrated modeling system for the estimation of motor vehicle emissions.” J. Air Waste Manage. Assoc., 49(9), 1010–1026.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 142Issue 9September 2016

History

Received: May 2, 2015
Accepted: Feb 1, 2016
Published online: Apr 22, 2016
Published in print: Sep 1, 2016
Discussion open until: Sep 22, 2016

Permissions

Request permissions for this article.

Authors

Affiliations

Ph.D. Candidate, MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong Univ., Haidian District, Beijing 100044, P.R. China (corresponding author). E-mail: [email protected]
Lei Yu, Ph.D., M.ASCE [email protected]
P.E.
Professor, College of Science and Technology, Texas Southern University, 3100 Cleburne Ave., Houston, TX 77004; Yangtzi River Scholar, Beijing Jiaotong Univ., Haidian District, Beijing 100044, P.R. China. E-mail: [email protected]
Zhiqiang Zhai [email protected]
Ph.D. Candidate, MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong Univ., Haidian District, Beijing 100044, P.R. China. E-mail: [email protected]
Traffic Engineer, Beijing Transport Energy & Environment Center, No. 9, Liuliqiao South Rd., FengTai District, Beijing 100073, P.R. China. E-mail: [email protected]
Guohua Song, Ph.D. [email protected]
Associate Professor, MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong Univ., Haidian District, Beijing 100044, P.R. China. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share