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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Multi-objective Optimization of Traffic Signal Systems on Urban Arterial Roads
verfasst von : Tao Liu, Feng Qiao, Lingzhong Guo, Yifan Chen
Erschienen in: Advances in Simulation and Process Modelling
Verlag: Springer Singapore
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Abstract
In this paper, multi-objective optimization is used to solve the signal synchronization problem in arterial traffic roads, where a traffic dispersion module is introduced to further expand the solution space. By incorporating the models of delay time, queue length and stop times into the optimization, a first model called M1 is established. In the second model M2, the free flow speed assumption is replaced by a traffic dispersion module for better estimating the link travel time. A simulation study is then carried out on an arterial road, and the results show that the proposed strategy improves the performance of the traffic system compared to the current timing scheme and M2 has the best performance among all solutions in this paper, and the delay is reduced for about 24%.