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Optimal bus service patterns and frequencies considering transfer demand elasticity with genetic algorithm

机译：考虑遗传算法的换乘需求弹性的最优公交服务方式和频率

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This paper attempts to optimize bus service patterns (i.e., all-stop, short-turn, and express) and frequencies which minimize total cost, considering transfer demand elasticity. A mathematical model is developed based on the objective total cost for a generalized bus route, which is optimized subject to a set of constraints ensuring sufficient capacity, an operable bus fleet, and service frequency conservation. To optimize the integrated service of a bus route with many stops, which is a combinatorial optimization problem, a genetic algorithm is developed and applied to search for the solution. A case study, based on a real-world bus route in New Jersey, is conducted to demonstrate the applicability and effectiveness of the developed model and the solution algorithm. Results show that the proposed methodology is fairly efficient, and the optimized bus service significantly reduces total cost.
机译：考虑到转移需求的弹性，本文试图优化公交服务模式（即全站，短途和快车）和频率，以最大程度地降低总成本。基于通用公交路线的客观总成本，开发了一个数学模型，该数学模型在确保确保足够容量，可操作公交车队和节省服务频率的一组约束条件下进行了优化。为了优化具有多个停靠站的公交路线的综合服务，这是一个组合优化问题，开发了一种遗传算法并将其应用于搜索解决方案。进行了一个基于新泽西州真实世界公交路线的案例研究，以证明所开发的模型和求解算法的适用性和有效性。结果表明，所提出的方法是相当有效的，并且优化的公共汽车服务显着降低了总成本。

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