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Research on Passenger Flow Prediction of Bus Line Based on Gradient Boosting Decision Tree

机译：基于梯度提升决策树的公交线路客流预测研究

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摘要

Passenger flow is one of the main public transportation information. In order to improve the prediction accuracy of passenger flow on bus line, passenger flow is divided into two data sets of working days and non-working days by analyzing the characteristics of passenger flow, and passenger flow is predicted based on gradient boosting decision tree algorithm. Considering the influence of weather factors on passenger flow, crawled weather data is quantified and added to the algorithm model, and passenger flow on bus line is predicted based on gradient boosting decision tree with weather characteristics. The experimental results show that the prediction results with weather characteristics are more accurate.

机译：客流是主要的公共交通信息之一。为了提高公交线路上客流的预测精度，通过分析客流的特征将客流分为工作日和非工作日两个数据集，并基于梯度提升决策树算法对客流进行预测。。考虑到天气因素对客流的影响，对爬行的天气数据进行量化并添加到算法模型中，并基于具有天气特征的梯度提升决策树对公交线路上的客流进行预测。实验结果表明，具有天气特征的预测结果更加准确。

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《Chinese Control and Decision Conference》|2020年|3212-3218|共7页
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作者
Yingxin Liu; Xinggang Luo; Min Yang;
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关键词
Prediction algorithms; Predictive models; Boosting; Decision trees; Meteorology; Data models; Heuristic algorithms;

机译：预测算法;预测模型;提升;决策树;气象学;数据模型;启发式算法;

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专利

1. Predicting Bus Passenger Flow and Prioritizing Influential Factors Using Multi-Source Data: Scaled Stacking Gradient Boosting Decision Trees [J] . Wu Weitiao, Xia Yisong, Jin Wenzhou IEEE Transactions on Intelligent Transportation Systems . 2021,第4期

机译：使用多源数据预测总线客运和优先化影响因素：缩放堆叠梯度提升决策树
2. A Prediction System of Burn through Point Based on Gradient Boosting Decision Tree and Decision Rules [J] . Song LIU, Qing LYU, Xiaojie LIU, ISIJ international . 2019,第12期

机译：基于梯度提升决策树和决策规则的烧穿点预测系统
3. A Prediction System of Burn through Point Based on Gradient Boosting Decision Tree and Decision Rules [J] . Song Liu, Qing Lyu, Xiaojie Liu, ISIJ international . 2019,第12期

机译：基于梯度提升决策树和决策规则的烧穿点预测系统
4. Short-Term Bus Passenger Flow Forecast Based on the Multi-feature Gradient Boosting Decision Tree [C] . Zixian Xu, Rui Zhu, Qiyue Yang, International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery . 2020

机译：基于多特征梯度升压决策树的短期总线客运流预测
5. Tree-based Deep Mixture of Experts with Applications to Visual Saliency Prediction and Quality Robust Visual Recognition [D] . Dodge, Samuel. 2018

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6. A Hyperspectral Image Classification Approach Based on Feature Fusion and Multi-Layered Gradient Boosting Decision Trees [O] . Shenyuan Xu, Size Liu, Hua Wang, 2021

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7. Wind Speed Forecast Based on Post-Processing of Numerical Weather Predictions Using a Gradient Boosting Decision Tree Algorithm [O] . Wenqing Xu, Like Ning, Yong Luo 2020

机译：基于使用梯度升压决策树算法的数值天气预报后处理的风速预测

Research on Passenger Flow Prediction of Bus Line Based on Gradient Boosting Decision Tree

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