Reducing Environmental Impact by Adaptive Traffic Control and Management for Urban Road Networks
This paper investigates the effectiveness of traffic signal control and information provided by variable message sign (VMS) as environmental traffic management tools. The focus is on black carbon and CO₂, which are among the highest contributors to climate change. The modelling tool chain adopted to support this study includes traffic microsimulation, emissions modelling and dispersion modelling. A number of scenarios have been simulated with different levels of demand and VMS compliance rates. The results demonstrate the potential of these interventions for the scenarios examined in reducing black carbon emissions up to 3% network-wide and improving air quality, as well as reducing traffic congestion and travel delays (up to 6% delay reduction network-wide).
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Supplemental Notes:
- This paper was sponsored by TRB committee ADC20 Transportation and Air Quality.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Mascia, Margherita
- Hu, Jun (Simon)
- Han, Ke
- North, Robin
- Vranckx, Stijn
- Van Poppel, Martine
- Theunis, Jan
- Litzenberger, Martin
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Conference:
- Transportation Research Board 94th Annual Meeting
- Location: Washington DC, United States
- Date: 2015-1-11 to 2015-1-15
- Date: 2015
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References; Tables;
- Pagination: 14p
- Monograph Title: TRB 94th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Air quality management; Carbon dioxide; Dispersions (Chemistry); Environmental impacts; Microsimulation; Pollutants; Traffic congestion; Urban highways; Variable message signs
- Subject Areas: Environment; Highways; Operations and Traffic Management; I15: Environment; I73: Traffic Control;
Filing Info
- Accession Number: 01555375
- Record Type: Publication
- Report/Paper Numbers: 15-4823
- Files: TRIS, TRB, ATRI
- Created Date: Feb 27 2015 10:01AM