Abstract
The current method of dedicated bus arterial coordination priority is mostly based on the arterial coordination control scheme of social vehicle, which makes the dedicated bus arterial coordination priority has many limitations. This paper compare social vehicle traffic flow data with bus traffic flow data which obtained from survey to determine the weighted proportion between them by using spectral clustering (SC) method. And then design multi-period division program for intersection by using Piecewise Aggregate Approximation (PAA). At last we get new arterial coordination control scheme by using graphic method. This paper selects per capita delays as efficiency indicator to measure intersection traffic efficiency. After VISSIM simulation we find out that the new-control-methods outstanding performance on bus traffic efficiency which can decrease the per capita delays reach with public transit-oriented purposes. abstract environment.
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Acknowledgments
This work is partially supported by National Natural Science Foundation (61374191) and by the Great Wall Scholar Program (15038).
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Zheng, S., Liu, X., Shang, C., Zheng, G., Zheng, G. (2017). Arterial Coordination for Dedicated Bus Priority Based on a Spectral Clustering Algorithm. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10638. Springer, Cham. https://doi.org/10.1007/978-3-319-70139-4_60
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DOI: https://doi.org/10.1007/978-3-319-70139-4_60
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