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A Guide Sign Optimization Problem for an Added Road Based on Bird Mating Optimizer

机译:基于鸟交配优化器的新增道路引导标志优化问题。

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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%.
机译:由于新建道路频繁,因此有必要优化当前的引导标志系统。为了科学,系统地解决这一问题,本文提出了一种在加路情况下当前路标系统的优化模型,该模型由Bird Mating Optimizer(BMO)解决。优化模型首先选择几个重要的入口作为优化的起始节点。接下来,BMO解决了从这些起始节点到目标道路的成本最高的那条引导路线。这些成本考虑了旅行时间成本,车辆使用成本和引导标志的重建成本。然后考虑驾驶习惯,在引导路线上布置引导标志。此外,通过在目标道路的其他入口处部署一些必要的直接引导项来完善优化的项目。最后,将该模型应用于广州市花城大道,与目前的部署进行比较。引导人们进入花城大道的可及性从77.9%提高到88.9%。

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