基于决策树方法的车辆油耗估计模型

交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (3): 200-206.

基于决策树方法的车辆油耗估计模型

朱广宇*^{1, 2, 3}，赵蕾^{1, 2}，黄达^{1, 2}，张彭⁴，边历嵚⁵

1. 北京交通大学城市交通复杂系统理论与技术教育部重点实验室，北京100044；2. 北京城市交通协同创新中心，北京 100022；3. 系统控制与信息处理教育部重点实验室，上海200240；4. 北京市交通发展研究中心城市交通运行仿真与决策支持北京市重点实验室，北京100073；5. 济南瑞通铁路电务有限责任公司，济南250013

收稿日期:2016-01-26 修回日期:2016-04-12 出版日期:2016-06-25 发布日期:2016-06-27
作者简介:朱广宇(1972-)，男，山东安丘人，副教授，博士.
基金资助:
：国家自然科学基金/National Natural Science Foundation of China ( 61572069, 61503022)；中央高校基本科研业务费/ Fundamental Research Funds for the Central Universities (2014JBM211)；系统控制与信息处理教育部重点实验室开放课题/ The Open Project Program of Key Laboratory of System Control and Information Processing (Scip201507)；河北省交通运输厅科技项目/The Project of the Department of Traffic and Transportation of Hebei Province(A0201-150505)；交通部青年科技英才培养项目/Research Foundation for Outstanding Scholars of Transport Ministry of China(201540)；城市交通运行仿真与决策支持北京市重点实验室/Beijing Municipality Key Laboratory of Urban Traffic Operation Simulation and Decision Support(BZ0012).

A Method of Vehicle Fuel Consumption Estimation Based on Decision Tree

ZHU Guang-yu^{1, 2, 3}, ZHAO Lei^{1, 2}, HUANG Da^{1, 2}, ZHANG Peng⁴, BIAN Li-qin⁵

1. MOE Key Laboratory for Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China; 2. Center of Cooperative Innovation for Beijing Metropolitan Transportation, Beijing 100022, China; 3. Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai 200240, China; 4. Beijing Municipality Key Laboratory of Urban Traffic Operation Simulation and Decision Support, Beijing Transportation Research Center, Beijing 100073, China; 5. Jinan RETURNS Railway Signalling and Communication CO, LT, Jinan 250013, China

Received:2016-01-26 Revised:2016-04-12 Online:2016-06-25 Published:2016-06-27

摘要/Abstract

摘要：

车辆油耗是道路建设后评价的重要指标之一，同时也是道路路面设计、加油站选址、路径选择等问题的决策依据.传统的车辆油耗估计主要采用回归建模的方式，本文基于决策树数据挖掘方法给出了一种车辆油耗的估计模型.首先，利用主成分分析法获取影响车辆油耗的关键因素；其次，基于改进的C4.5 决策树构建车辆油耗估计模型；最后，结合1组高速公路场景下车辆油耗的典型样本数据，对本文模型进行验证，通过对车辆油耗预测值与真实值的误差分析，表明本文模型的有效性和实用性.

关键词: 公路运输, 油耗估计, 数据挖掘, C4.5决策树算法, 主成分分析法

Abstract:

Vehicle fuel consumption is one of the important indicators of road construction post-evaluation. At the same time, it is the decision basis for pavement design, the location of gas stations, route choice and so on. Traditional vehicle fuel consumption evaluation mainly uses the method of constructing the regression model, and a vehicle fuel consumption estimation model based on decision tree and data mining is studied in this paper. Namely: firstly, the key factors affecting the vehicle fuel consumption are obtained using principal component analysis method; secondly, the vehicle fuel consumption estimation model is built based on the improved C4.5 decision tree; finally, validate the model presented in this paper combined with a representative sample data of vehicle fuel consumption at freeway scene. By analyzing error of vehicle fuel consumption estimated value and the real value, it shows the effectiveness and practicality of the proposed model.

Key words: highway transportation, fuel consumption evaluation, data mining, C4.5 decision tree algorithm, principal component analysis

中图分类号:

U491

朱广宇，赵蕾，黄达，张彭，边历嵚. 基于决策树方法的车辆油耗估计模型[J]. 交通运输系统工程与信息, 2016, 16(3): 200-206.

ZHU Guang-yu, ZHAO Lei, HUANG Da, ZHANG Peng, BIAN Li-qin. A Method of Vehicle Fuel Consumption Estimation Based on Decision Tree[J]. Journal of Transportation Systems Engineering and Information Technology, 2016, 16(3): 200-206.

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链接本文: http://www.tseit.org.cn/CN/abstract/abstract19208.shtml

http://www.tseit.org.cn/CN/Y2016/V16/I3/200

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