Abstract
As new roads constructed frequently, it is necessary to optimize the current guide sign system. To solve the problem scientifically and systematically, this paper proposes an optimization model for current guide sign system in the situation of adding a road, which is solved by Bird Mating Optimizer (BMO). The optimization model first selects several important entrances as optimized starting nodes. Next the set of guiding routes with the best costs from these starting nodes to the targeted road are solved by BMO. The costs consider travel time costs, usage costs for vehicles and reconstruction costs for the guide signs. Then deploy guide signs in the guiding routes considering driving habits. In addition, perfect the optimized project by deploying several necessary directly-guiding items in other entrances of the targeted road. Finally, the model is applied in Huacheng Avenue in Guangzhou for comparison with current deployment. Guiding accessibility to Huacheng Avenue improves from 77.9% to 88.9%.
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Acknowledgement
This research described in this paper was supported by Science and Technology Project of Guangdong province (Nos. 2016A02022300, 2016B090918038, 2015B010110005, 2014B010118002), Science and Technology Project of Guangzhou city (201510010247).
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Liu, F., Huang, M., Zhang, T., Mao, F. (2017). A Guide Sign Optimization Problem for an Added Road Based on Bird Mating Optimizer. In: Tan, Y., Takagi, H., Shi, Y. (eds) Advances in Swarm Intelligence. ICSI 2017. Lecture Notes in Computer Science(), vol 10385. Springer, Cham. https://doi.org/10.1007/978-3-319-61824-1_10
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DOI: https://doi.org/10.1007/978-3-319-61824-1_10
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