Cluster Analysis for Optimal Sampling of Traffic Count Data: Air Quality Example-Reference-Cited by-同舟云学术

Cluster Analysis for Optimal Sampling of Traffic Count Data: Air Quality Example

Published:2002-01 Issue:1 Volume:128 Page:97-102
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Niemeier D. A.¹,Utts J. M.²,Fay L.³

Affiliation:

1. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616 (corresponding author).

2. Professor, Dept. of Strategies, Univ. of California, Davis, CA 95616.

3. Graduate Student, Univ. of California, Davis, CA 95616.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-947X%282002%29128%3A1%2897%29

Reference10 articles.

1. Anderson W. P. and Kanaroglou P. et al. (1996). “Simulating automobile emissions in an integrated urban model.” Transportation Research Record 1520 National Research Council Washington D.C.

2. Barth M. et al. (1999). “Estimating emissions and fuel consumption for different levels of freeway congestion.” Transportation Research Record 1664 National Research Council Washington D.C.

3. Chatterjee A. et al. (1997). Improving transportation data for mobile source emission estimates . Transportation Research Board National Research Council Washington D.C.

4. Hicks J. and Niemeier D. (2000). “Improving the resolution of gridded-hourly mobile emissions: Incoporating spatial variability and handling missing data.” Transportation Research Part D Transportation Research Board National Research Council Washington D.C.

5. Howitt A. M. and Moore E. M. (1999). “Linking transportation and air quality planning: Implementation of the transportation conformity regulations in 15 nonattainment areas.” Report Prepared for EPA Federal Highway Administration U.S. Department of Transportation Washington D.C.

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