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A New Multiobjective Signal Optimization for Oversaturated Networks

A New Multiobjective Signal Optimization for Oversaturated Networks,10.1109/TITS.2011.2125957,IEEE Transactions on Intelligent Transportation Systems,

A New Multiobjective Signal Optimization for Oversaturated Networks  
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This paper presents a new methodology for optimiz- ing the signal timing controls of oversaturated networks based on the cell transmission model and a goal programming tech- nique 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 through- put-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 or- der 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.
Journal: IEEE Transactions on Intelligent Transportation Systems - TITS , vol. 12, no. 4, pp. 967-976, 2011
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