TY - JOUR
T1 - A new multiobjective signal optimization for oversaturated networks
AU - Lertworawanich, Ponlathep
AU - Kuwahara, Masao
AU - Miska, Marc
N1 - Funding Information:
Manuscript received July 9, 2008; revised September 16, 2009, May 9, 2010, and October 29, 2010; accepted February 14, 2011. Date of publication April 7, 2011; date of current version December 5, 2011. This work was supported in part by the Institute of Industrial Science, University of Tokyo, Tokyo, Japan. The Associate Editor for this paper was W.-H. Lin.
PY - 2011/12
Y1 - 2011/12
N2 - This paper presents a new methodology for optimizing the signal timing controls of oversaturated networks based on the cell transmission model and a goal programming technique with multiple objectives. The proposed model accounts for intersection spillovers, equity in delays, and system throughputs. This new formulation is solved by genetic algorithms to obtain signal timing plans. A case study with a nine-intersection network and a comparison between the proposed model and the throughput-maximizing strategy are examined. It is found that the new method can efficiently minimize spillovers, balance delay equity, and provide reasonable system throughputs in their respective order for oversaturated networks. The result also indicates that the throughput-maximizing strategy does not always yield minimum spillovers for oversaturated networks and occasionally provides a larger difference in average link delay at a spillover intersection than the proposed model does.
AB - This paper presents a new methodology for optimizing the signal timing controls of oversaturated networks based on the cell transmission model and a goal programming technique with multiple objectives. The proposed model accounts for intersection spillovers, equity in delays, and system throughputs. This new formulation is solved by genetic algorithms to obtain signal timing plans. A case study with a nine-intersection network and a comparison between the proposed model and the throughput-maximizing strategy are examined. It is found that the new method can efficiently minimize spillovers, balance delay equity, and provide reasonable system throughputs in their respective order for oversaturated networks. The result also indicates that the throughput-maximizing strategy does not always yield minimum spillovers for oversaturated networks and occasionally provides a larger difference in average link delay at a spillover intersection than the proposed model does.
KW - Traffic signal optimization
KW - traffic signals
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U2 - 10.1109/TITS.2011.2125957
DO - 10.1109/TITS.2011.2125957
M3 - Article
AN - SCOPUS:82455192223
VL - 12
SP - 967
EP - 976
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
SN - 1524-9050
IS - 4
M1 - 5744121
ER -