Driver’s Eco-Driving Behavior Evaluation Modeling Based on Driving Events
Eco-driving is an effective means to reduce vehicle fuel consumption. Although many researches and devices have been developed to introduce eco-driving, quantitative effects of driver behaviors on fuel consumption are still unclear, as well as quantitative eco-driving advices. To solve this problem...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/9530470 |
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| _version_ | 1832549317462720512 |
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| author | Chen Chen Xiaohua Zhao Ying Yao Yunlong Zhang Jian Rong Xiaoming Liu |
| author_facet | Chen Chen Xiaohua Zhao Ying Yao Yunlong Zhang Jian Rong Xiaoming Liu |
| author_sort | Chen Chen |
| collection | DOAJ |
| description | Eco-driving is an effective means to reduce vehicle fuel consumption. Although many researches and devices have been developed to introduce eco-driving, quantitative effects of driver behaviors on fuel consumption are still unclear, as well as quantitative eco-driving advices. To solve this problem and promote the application of eco-driving in China, a driving-events-based eco-driving behavior evaluation model was proposed in this paper. First, based on taxicab operating data, the relationship between three vehicle operating parameters (speed, acceleration, and driving mode duration) and fuel consumption was analyzed. Then, nine fuel-consumption-involved driving events (including Accelerating Sharply, Decelerating Sharply, and Long-Time Accelerating) were proposed and defined. Using the frequency of each driving event in a certain distance as independent variable and vehicle fuel consumption as dependent variable, principal component analysis (PCA) and multiple linear regression were applied to establish driver’s eco-driving behavior evaluation model. The model was proved to be highly accurate (96.72%). At last, based on the evaluation model, corresponding quantitative eco-driving advices were provided to help driver to improve their driving skills. |
| format | Article |
| id | doaj-art-8d43286f656748659852dd6fe586f634 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-8d43286f656748659852dd6fe586f6342025-02-03T06:11:37ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/95304709530470Driver’s Eco-Driving Behavior Evaluation Modeling Based on Driving EventsChen Chen0Xiaohua Zhao1Ying Yao2Yunlong Zhang3Jian Rong4Xiaoming Liu5Beijing Key Laboratory of Traffic Engineering, Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing University of Technology, Beijing 100124, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing University of Technology, Beijing 100124, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing University of Technology, Beijing 100124, ChinaTexas A&M University, College Station, TX 77843, USABeijing Key Laboratory of Traffic Engineering, Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing University of Technology, Beijing 100124, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing University of Technology, Beijing 100124, ChinaEco-driving is an effective means to reduce vehicle fuel consumption. Although many researches and devices have been developed to introduce eco-driving, quantitative effects of driver behaviors on fuel consumption are still unclear, as well as quantitative eco-driving advices. To solve this problem and promote the application of eco-driving in China, a driving-events-based eco-driving behavior evaluation model was proposed in this paper. First, based on taxicab operating data, the relationship between three vehicle operating parameters (speed, acceleration, and driving mode duration) and fuel consumption was analyzed. Then, nine fuel-consumption-involved driving events (including Accelerating Sharply, Decelerating Sharply, and Long-Time Accelerating) were proposed and defined. Using the frequency of each driving event in a certain distance as independent variable and vehicle fuel consumption as dependent variable, principal component analysis (PCA) and multiple linear regression were applied to establish driver’s eco-driving behavior evaluation model. The model was proved to be highly accurate (96.72%). At last, based on the evaluation model, corresponding quantitative eco-driving advices were provided to help driver to improve their driving skills.http://dx.doi.org/10.1155/2018/9530470 |
| spellingShingle | Chen Chen Xiaohua Zhao Ying Yao Yunlong Zhang Jian Rong Xiaoming Liu Driver’s Eco-Driving Behavior Evaluation Modeling Based on Driving Events Journal of Advanced Transportation |
| title | Driver’s Eco-Driving Behavior Evaluation Modeling Based on Driving Events |
| title_full | Driver’s Eco-Driving Behavior Evaluation Modeling Based on Driving Events |
| title_fullStr | Driver’s Eco-Driving Behavior Evaluation Modeling Based on Driving Events |
| title_full_unstemmed | Driver’s Eco-Driving Behavior Evaluation Modeling Based on Driving Events |
| title_short | Driver’s Eco-Driving Behavior Evaluation Modeling Based on Driving Events |
| title_sort | driver s eco driving behavior evaluation modeling based on driving events |
| url | http://dx.doi.org/10.1155/2018/9530470 |
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