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Citation |
Zhang Y, Zheng CC, Zhang L, You XR, Cheng DX. Adv. Mater. Res. 2014; 989-994: 3915-3918. |
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Copyright |
(Copyright © 2014, Trans Tech Publications) |
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DOI |
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PMID |
unavailable |
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Abstract |
One alternative mathod to improve safety of signalized arterials is to optimize signal timings. Historically, signal retiming tools were used to reduce traffic delay and stops and other measures of traffic efficiency such as closed-loop systems in California and United States. The concept of optimizing signal timings specifically to improve safety metrics, or their surrogate measures, is not common in current signal timing optimization practice. This study advocates a fresh approach to integrating VISSIM microsimulation software, Surrogate Safety Assessment Model, and VISSIM-based Genetic Algorithm for Optimization of Signal Timings to reduce surrogate measures of safety and thereby reduce risks of potential real-world crashes. In addition, a multiple-objective genetic algorithm is implemented to identify the optimal compromise between two competing objectives: surrogate safety and traffic efficiency. Language: en |