Investigating Emission Reduction Benefit From Intersection Signal Optimization

REFERENCES

• Barth , M. , An , F. , Younglove , T. , Scora , G. , Levine , C. , Ross , M. and Wenzel , T. 1999 . The development of a comprehensive modal emissions model Washington, DC: National Cooperative Highway Research Program
   Google Scholar
• Coelho , M. , Farias , T. and Rouphail , N. 2005a . Impact of speed control traffic signals on pollutant emissions . Transportation Research Part D , 10 : 324 – 340 .
   Web of Science ®Google Scholar
• Coelho , M. , Farias , T. and Rouphail , N. 2005b . Measuring and modeling emission effects for toll facilities . Transportation Research Record: Journal of the Transportation Research Board , 1941 : 136 – 144 .
   Web of Science ®Google Scholar
• Fitzpatrick , K. , Brewer , M. and Parham , A. 2003 . Left-turn and in-lane rumble strip treatments for rural intersections , College Station , TX : Texas Transportation Institute, The Texas A&M University System .
   Google Scholar
• Fitzpatrick , K. and Schneider , W. 2005 . Turn speeds and crashes within right-turn lane , College Station , TX : Texas Transportation Institute, The Texas A&M University System .
   Google Scholar
• Frey , H. C. , Unal , A. , Rouphail , N. M. and Colyar , J. D. 2003 . On-road measurement of vehicle tailpipe emissions using a portable instrument . Journal of the Air & Waste Management Association , 53 ( 8 ) : 992 – 1002 .
   Web of Science ®Google Scholar
• Gartner , N. and Stamatiadis , C. 2004 . Progression optimization featuring arterial- and route-based priority signal networks . Journal of Intelligent Transportation Systems , 8 : 77 – 86 .
   Web of Science ®Google Scholar
• Hurley , T. and Kalus , B. 2007 . Timely solutions for reducing congestion and improving air quality . Managing Congestion—Can We Do Better? ITE 2007 Technical Conference and Exhibit , March 25–28, San Diego, California.
   Google Scholar
• Kesur , K. B. 2009 . Advances in genetic algorithm optimization of traffic signals . Journal of Transportation Engineering , 135 : 160 – 173 .
   Web of Science ®Google Scholar
• Liao , T.-Y. and Machemehl , R. B. 1997 . Fuel consumption estimation and optimal traffic signal timing , Austin , TX : Center for Transportation Research, University of Texas at Austin .
   Google Scholar
• Lin , W.-H. , Lo , H. and Xiao , L. 2011 . A quasi-dynamic robust control scheme for signalized intersections . Journal of Intelligent Transportation Systems , 15 : 223 – 233 .
   Web of Science ®Google Scholar
• Matzoros , A. and Van Vliet , D. 1992 . A model of air pollution from road traffic, based on the characteristics of interrupted flow and junction control: Part I—Model description . Transportation Research Part A , 26 : 315 – 330 .
   Google Scholar
• Midurski , T. and Corbin , V. 1976 . Characterization of Washington, D.C., carbon monoxide problem Washington, DC: GCA Corporation, U.S. Environmental Protection Agency
   Google Scholar
• Patterson , R. 1976 . Air quality modeling at signalized intersections Washington, DC: Transportation Research Board, Special Report, 167
   Google Scholar
• Planung Transport Verkehr . 2008 . VISSIM 5.10 user manual Karlsruhe , , Germany
   Google Scholar
• Stevanovic , A. , Stevanovic , J. , Zhang , K. and Batterman , S. 2009 . Optimizing traffic control to reduce fuel consumption and vehicular emissions . Transportation Research Record: Journal of the Transportation Research Board , 2128 : 105 – 113 .
   Web of Science ®Google Scholar
• Tarnoff , P. and Parsonson , P. 1979 . Guidelines for selecting traffic signal control at individual intersections Washington, DC: National Cooperative Highway Research Program, American Association of State Highway and Transportation Officials, and Federal Highway Administration
   Google Scholar
• Transportation Research Board . 2000 . Highway Capacity Manual Washington , , DC
   Google Scholar
• U.S. Environmental Protection Agency . 1975 . Guidelines for air quality maintenance planning and analysis. Volume 9: Evaluating indirect sources Washington, DC.
   Google Scholar
• U.S. Environmental Protection Agency . 1992 . User's guide to CAL3QHC version 2.0: A modeling methodology for predicting pollutant concentrations near roadway intersections Washington, DC.
   Google Scholar
• U.S. Environmental Protection Agency . 2004 . Guidance on use of remote sensing for evaluation of I/M program performance Certification and Compliance Division, Office of Transportation and Air Quality, Washington, DC.
   Google Scholar
• U.S. Environmental Protection Agency . 2009 . Development of Emission Rates for Light-Duty Vehicles in the Motor Vehicle Emissions Simulator (MOVES2009) Assessment and Standards Division, Office of Transportation and Air Quality. Washington, DC
   Google Scholar
• Webster , F. 1958 . Traffic signal settings , London , , UK : Her Majesty's Stationary Office . Road Research Technical Paper no. 39
   Google Scholar
• Zheng , X. , Recker , W. and Chu , L. 2010 . Optimization of control parameters for adaptive traffic-actuated signal control . Journal of Intelligent Transportation Systems , 14 : 95 – 108 .
   Web of Science ®Google Scholar