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Authors: Zhenzheng Yan 1 ; Jihui Zhuang 1 ; Xiaoming Cheng 1 and Ying Yan 2

Affiliations: 1 School of Mechanical and Electrical Engineering, Hainan University, Haikou 992753, China, China ; 2 National Local Joint Engineering Research Center for Intelligent Vehicle-Road Coordination and Safety Technology, Tianjin University of Technology and Education, Tianjin 300222, China., China

Keyword(s): Driving cycle, cluster analysis, PCA, DBSCAN cluster, city bus.

Abstract: Driving cycles are an important means for new vehicle technology development and emission prediction and evaluation. To establish a representative driving cycle for urban buses in Haikou city, in this paper, the principal component analysis (PCA) and DBSCAN cluster algorithm are applied to develop the driving cycle. Firstly, a large number of vehicle driving data are collected, which comprised of 12 characteristic parameters. Next, the PCA is employed to extract main components from the characteristic parameters of driving data and the DBSCAN cluster is used to select representative micro trips. Subsequently, several most representative micro-trips were picked out to form the driving cycle. The effectiveness and uniqueness of the developed driving cycle are verified via comparing the parameters with the real-world driving data and the existing driving cycles, respectively.

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Paper citation in several formats:
Yan, Z.; Zhuang, J.; Cheng, X. and Yan, Y. (2020). Driving Cycle Development for Urban Bus using Principal Component Analysis and DBSCAN Clustering: With the Case of Haikou, China. In Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - ICVMEE, ISBN 978-989-758-412-1; ISSN 2184-741X, pages 108-113. DOI: 10.5220/0008872201080113

@conference{icvmee20,
author={Zhenzheng Yan. and Jihui Zhuang. and Xiaoming Cheng. and Ying Yan.},
title={Driving Cycle Development for Urban Bus using Principal Component Analysis and DBSCAN Clustering: With the Case of Haikou, China},
booktitle={Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - ICVMEE,},
year={2020},
pages={108-113},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008872201080113},
isbn={978-989-758-412-1},
issn={2184-741X},
}

TY - CONF

JO - Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - ICVMEE,
TI - Driving Cycle Development for Urban Bus using Principal Component Analysis and DBSCAN Clustering: With the Case of Haikou, China
SN - 978-989-758-412-1
IS - 2184-741X
AU - Yan, Z.
AU - Zhuang, J.
AU - Cheng, X.
AU - Yan, Y.
PY - 2020
SP - 108
EP - 113
DO - 10.5220/0008872201080113