Driving Cycle Development for Urban Bus using Principal Component Analysis and DBSCAN Clustering: With the Case of Haikou, China

Zhenzheng Yan, Jihui Zhuang, Xiaoming Cheng, Ying Yan

2019

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 Harvard Style

Yan Z., Zhuang J., Cheng X. and Yan Y. (2019). 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 - Volume 1: ICVMEE, ISBN 978-989-758-412-1, pages 108-113. DOI: 10.5220/0008872201080113


in Bibtex Style

@conference{icvmee19,
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 - Volume 1: ICVMEE,},
year={2019},
pages={108-113},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008872201080113},
isbn={978-989-758-412-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: 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
AU - Yan Z.
AU - Zhuang J.
AU - Cheng X.
AU - Yan Y.
PY - 2019
SP - 108
EP - 113
DO - 10.5220/0008872201080113