Ms. Liying Tang Profile

Liying Tang

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Proceedings Article | 16 February 2023 Paper

Signal timing optimization of exit lanes for left-turn intersections considering emission and delay

Shaohua Zhang, Yugang Liu, Qing Wan, Liying Tang, FengLin Hu, Zhan Shu

Proceedings Volume 12591, 125912S (2023) https://doi.org/10.1117/12.2668565

KEYWORDS: Mathematical optimization, Calibration, Design and modelling, Data modeling, NOx, Roads, Transportation, Pollution control, Genetic algorithms, Safety

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To evaluate the environmental benefits and operating efficiency of exit lanes for left-turn intersections, a signal optimization model considering emissions and delays is proposed. Considering the three pollutants of CO, HC, and NOx in cars and buses exhaust, VISSIM simulation software is used to obtain second-by-second data of vehicles. The data is used to calculate the second-by-second Vehicle Specific Power and to calibrate the two types of emission factors for each lane group. Cycle length, main-signal and pre-signal control are regarded as constraints, and minimum emissions and delays are regarded as optimization goals. The bi-objective optimization for exit lanes for left-turn intersections is transformed into a single-objective optimization problem through the linear weighted sum method, and the genetic algorithm is used to solve the optimal signal timing scheme. The results show that, compared with conventional intersections, the design of EFL intersections can not only improve operation efficiency, but also reduce emissions. The optimal signal timing scheme for exit lanes for left-turn intersection can reduce the delay by 6.27% and the total emissions by 7.47%; At the same time, when the proportion of left-turn traffic is 35%~40%, the signal optimization model proposed in this paper has the best optimization performance. Effective in relieving traffic pressure and has good environmental benefits.

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