Cell transmission model based traffic signal timing in oversaturated conditions

Ping Wang , L. S. Jones , Qun Yang , S. Gurupackiam

Journal of Central South University ›› 2013, Vol. 20 ›› Issue (4) : 1129 -1136.

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Journal of Central South University ›› 2013, Vol. 20 ›› Issue (4) : 1129 -1136. DOI: 10.1007/s11771-013-1594-8
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Cell transmission model based traffic signal timing in oversaturated conditions

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Abstract

In order to investigate enhancements to cell transmission model (CTM) as a tool for traffic signal timing in oversaturated conditions, randomly distributed saturation flow rates and arrival rates were used instead of constant values to simulate traffic flow movement, estimate the average delay of the network and search for an optimal traffic signal timing plan. A case study was given to demonstrate that the proposed methodology can capture unique phenomena in oversaturated conditions such as forward wave, spillback and lane entrance blockage. The results show that CTM underestimates travel time by 25% when compared to Simtraffic, while the enhanced CTM underestimates by only 3%. A second case study shows that a dynamic signal timing plan is superior to a fixed signal timing plan in the term of average delay.

Keywords

oversaturated flow / conditional cell transmission model / traffic signal timing / spillback / blockage

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Ping Wang, L. S. Jones, Qun Yang, S. Gurupackiam. Cell transmission model based traffic signal timing in oversaturated conditions. Journal of Central South University, 2013, 20(4): 1129-1136 DOI:10.1007/s11771-013-1594-8

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