Research on Intersection Signal Timing Model Considering Emissions Effects
The traditional model of intersection signal timing only takes vehicle delay into consideration. But with the rapid growth of vehicle ownership in cities, vehicle exhaust emissions have seriously affected the urban air quality, especially in intersections of frequency-dependent driving conditions, motor vehicle emissions are doubled. This paper proposes a vehicle emission calculation model of urban road intersections driving conditions which is based on in-depth analysis of the relationship of vehicular traffic parameters and vehicle emissions. Meanwhile, by combining with analysis of intersection vehicle delay, urban road intersection signal timing models of balance between delay and emissions is established in this paper. Finally, through instance validation, the model can not only keep intersection vehicle delay at a low level, but also effectively reduces vehicle emissions.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784412442
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Supplemental Notes:
- © 2012 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Chen, Hong
- Bai, Ru
- Ma, Juan
- Wang, Dongya
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Conference:
- Twelfth COTA International Conference of Transportation Professionals
- Location: Beijing , China
- Date: 2012-8-3 to 2012-8-6
- Publication Date: 2012-8
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 1024-1034
- Monograph Title: CICTP 2012: Multimodal Transportation Systems—Convenient, Safe, Cost-Effective, Efficient
Subject/Index Terms
- TRT Terms: Air quality management; Environmental impacts; Exhaust gases; Signalized intersections; Traffic delays; Traffic signal timing
- Subject Areas: Environment; Highways; Operations and Traffic Management; I15: Environment; I73: Traffic Control;
Filing Info
- Accession Number: 01501029
- Record Type: Publication
- ISBN: 9780784412442
- Files: TRIS, ASCE
- Created Date: Dec 10 2013 8:10AM