United States Department of Transportation
i
Traffic signal coordination and queue management in oversaturated intersection.
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2011-03-18
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Abstract:Traffic signal timing optimization when done properly, could significantly improve network
performance by reducing delay, increasing network throughput, reducing number of stops, or
increasing average speed in the network. The optimization can become complex due to large
solution space caused by many combinations of different parameters that affect traffic
operation. In this study three different methods are used to find near-optimal signal timing
parameters in transportation networks. The methods are: Genetic Algorithms (GA), Evolution
Strategies (ES), and Approximate Dynamic Programming (ADP). Each method is introduced, the
signal timings associated with them are explained and some important measures of
performance of the networks are determined and compared. One small network with 9
intersections and one medium network with 20 intersections were used for evaluating the
optimizations methods. Three general cases (Cases 1, 2, 3) are discussed in this report. For the
small symmetric network, three levels of traffic loading are used (no overload, 10% overload
and 20% overload). For the medium network (modified Springfield IL downtown network), two
levels of entry volumes are used (750 and 1000 vehicle per hour per lane).
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