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sensitivity analysis of key input parameters in conditional cell transmission model for oversaturated arterials

Journal of Central south University 2013年第6期20卷 1772-1780页

作者：王屏 s.L.JONEs 杨群 s.gurupackiam Key Laboratory of Road and Traffic Engineering of Ministry of Education(Tongji University) Department of Civil Constructionand Environmental EngineeringUniversity of Alabama

A novel conditional cell transmission model （CCTM） is a potential simulation tool because it accommodates all traffic conditions from light condition to oversaturated condition. To test the performance of the CCTM, a series of experiments for sensitivity analysis were designed and performed for a multilane, two-way, three-signal sample network. Experiment 1 shows that the model is performed in a logical and expected manner with variations in traffic demand with time and direction. Experiment 2 shows when the possibility of the occurrence of a useful gap increases to 60% and 100%, the delays in left rams decrease by 5% and 15%, respectively. In Experiment 3, comparing the possibility of a conditional cell of 0 with 100%, delay of left turn and delay of the entire network were underestimated by 58% and 11%, respectively. Hence, sensitivity analysis demonstrates that by reflecting local drivers＇ behaviors properly, the CCTM provides an accurate representation of traffic flow in simulating oversaturated traffic conditions.

关键词： oversaturation conditional cell transmission model sensitivity analysis delay possibility

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Cell transmission model based traffic signal timing in oversaturated conditions

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Journal of Central south University 2013年第4期20卷 1129-1136页

作者：王屏 L. s. Jones 杨群 s. gurupackiam Key Laboratory of Road and Traffic Engineering of Ministry of Education (Tongji University) Department of Civil Construction and Environmental Engineering the University of Alabama

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.

关键词： oversaturated flow conditional cell transmission model traffic signal timing spillback blockage

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