Variable speed limits for green mobility
Due to increasing environmental concerns the focus of traffic management and control is shifting towards optimizing the traffic control measures to also reduce traffic emissions and fuel consumption. In this context the authors propose a model-based predictive traffic control approach for the balanced reduction of travel times, emissions, and fuel consumption for freeway networks, where not only the local emissions are taken into account but also the dispersion of the emissions to various target zones near the freeways. The core of the approach is a new efficient model for describing the area-wide dispersion of the emissions that is much faster than the models the authors have proposed in earlier papers. The authors present a detailed description of the new so-called expanding grid-based model and they embed it in a model-based predictive traffic control approach using variable speed limits.
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Availability:
- Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6069628
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Supplemental Notes:
- Abstract reprinted with permission of IEEE.
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Corporate Authors:
Institute of Electrical and Electronics Engineers (IEEE)
3 Park Avenue, 17th Floor
New York, NY United States 10016-5997 -
Authors:
- Zegeye, S K
- De Schutter, B
- Hellendoorn, J
- Breunesse, E A
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Conference:
- 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)
- Location: Washington DC, United States
- Date: 2011-10-5 to 2011-10-7
- Publication Date: 2011-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 2174-2179
- Monograph Title: 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)
Subject/Index Terms
- TRT Terms: Adaptive control; Air quality management; Fuel consumption; Mobility; Pollutants; Sustainable transportation; Variable speed limits
- Subject Areas: Environment; Highways; Operations and Traffic Management; I15: Environment; I73: Traffic Control;
Filing Info
- Accession Number: 01567662
- Record Type: Publication
- ISBN: 9781457721984
- Files: TRIS
- Created Date: Jun 26 2015 1:43PM