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An Arterial Traffic Signal Control System Based on a Novel Intersections Model and Improved Hill Climbing Algorithm

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Abstract

In this paper, an arterial signal control method based on the modified arrival-based (AB) model is investigated using an improved biologically inspired hill climbing algorithm. The AB model is used to derive an amended objective function model with a membership function for signal cognitive optimization. Next, a modified hill climbing algorithm is proposed to strengthen the adaptive ability of intersections for disturbed traffic flow. At the same time, the probability of searching the globally optimal solutions is improved in the cognitive process. Finally, simulation results verify the applicability of the optimized AB model and the effectiveness of the improved hill climbing algorithm compared with conventional fixed-time control.

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Acknowledgments

The project was supported by National Natural Science Foundation of China (61473146). The project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.

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Authors and Affiliations

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Fuyang Chen, Li Wang & Bin Jiang

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore, 639798, Singapore

    Changyun Wen

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  1. Fuyang Chen
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  2. Li Wang
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  4. Changyun Wen
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Correspondence to Fuyang Chen.

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Chen, F., Wang, L., Jiang, B. et al. An Arterial Traffic Signal Control System Based on a Novel Intersections Model and Improved Hill Climbing Algorithm. Cogn Comput 7, 464–476 (2015). https://doi.org/10.1007/s12559-014-9314-8

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  • DOI: https://doi.org/10.1007/s12559-014-9314-8

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