Study on optimization of rural passenger and cargo bus based on ant colony algorithm

Jiamin Dai, Fengli Zheng, Huaqiong Liu
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Abstract

In view of the problem of "high cost and difficulty to enter villages" of rural e-commerce express delivery, considering the characteristics of scattered village distribution and insufficient distribution demand, the paper creatively proposes to take the existing bus operation route of the county as the transportation medium to realize the integration of passengers and goods in the downward transportation of e-commerce express from the county to the towns and villages. Then, the existing bus routes were optimized to achieve the dual objectives of minimizing the total cost of bus downlink transportation and visiting the collection point with the minimum distance, and the basic mathematical model was established. On this basis, the improved ant colony algorithm is used to solve the problem of optimizing the rural e-commerce express downlink bus route, and it can be found that the formation of multiple new routes can reduce the downlink transportation cost of e-commerce express and achieve the goal of accessing all the collection points with the minimum delivery distance.
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基于蚁群算法的农村客货客车优化研究
针对农村电商快递“成本高、进村难”的问题,考虑到乡村分布分散、配送需求不足的特点,创造性地提出以县城现有公交运营路线为运输媒介,实现电商快递从县城到乡镇的下行运输中客货一体化。然后,对现有公交线路进行优化,以实现公交下行总成本最小和以最小距离到达集散点的双重目标,建立基本数学模型;在此基础上,利用改进蚁群算法求解农村电商快递下行公交线路优化问题,可以发现多条新线路的形成可以降低电商快递下行运输成本,达到以最小配送距离到达所有集散点的目标。
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