基于时间序列分析的公交流量预测

Haolong Pei, Liang Chen, Zhihui Zhang, Junhao Lu, Shuanglin Shu, Xinyu Liang
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引用次数: 0

摘要

在城市快速发展的今天,交通问题已经成为城市管理面临的重大挑战。一个好的公交运营系统可以极大地缓解这一问题,提高人们的幸福感和满意度。如何控制公交运行,使其在各个时段有更好的发车计划,具有重要的研究意义。本文采用时间序列分析的方法,对一天中各个时段的客流趋势进行分析,得到具体的模型,并对未来的客流数据进行预测。研究并解决了公交调度中公交客流预测问题,为公交运营方案提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bus traffic prediction based on time series analysis
In today’s rapid urban development, traffic problems have become a major challenge for city management. A good bus operation system can greatly alleviate this problem and improve people’s happiness and satisfaction. It is of great research significance to find out how to control the bus operation and make it have a better departure plan in each time period. In this paper, the time series analysis is used to analyze the trend of passenger flow at each time of the day to obtain a specific model and to predict the future passenger flow data. This paper studies and solves the problem of predicting bus passenger flow for bus scheduling, and provides a reference for bus operation scheme.
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