Abstract | ||
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The main objective of this paper is to develop an Eco-Traffic Signal System (Eco-TSS) that can improve fuel consumption and delays at an isolated intersection under Connected Vehicle environment. The proposed system consists of an eco-driving algorithm and a traffic signal optimization process to find an optimal solution minimizing fuel consumption and delays. We designed a bi-level optimization method for the Eco-TSS and evaluated the impact of the Eco-TSS within traffic simulation to compare it with existing traffic signal controls. As results, the system showed 5-10% fuel savings and 12% travel-time reduction over existing control method. |
Year | DOI | Venue |
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2016 | 10.1109/ICCVE.2016.6 | 2016 International Conference on Connected Vehicles and Expo (ICCVE) |
Keywords | Field | DocType |
connected vehicle,eco-driving,traffic signal optimization | Traffic signal,Traffic simulation,Real-time computing,Connected vehicle,Linear programming,Fuel efficiency,Engineering,Trajectory | Conference |
ISSN | ISBN | Citations |
2378-1289 | 978-1-5090-4525-9 | 0 |
PageRank | References | Authors |
0.34 | 8 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hojin Jung | 1 | 0 | 1.35 |
Saerona Choi | 2 | 0 | 0.34 |
Byungkyu Park | 3 | 212 | 26.33 |
Haengju Lee | 4 | 0 | 1.35 |
Sang H. Son | 5 | 2433 | 202.20 |