A novel k-MPSO clustering algorithm for the construction of typical driving cycles

W Yan, MJ Li, YC Zhong, CY Qu, GX Li - IEEE Access, 2020 - ieeexplore.ieee.org
The practical driving cycle is of great significance in studying the control strategy of vehicles,
and effective clustering of micro-trips is the key to obtaining the typical driving cycle. A novel …

Utilizing principal component analysis and hierarchical clustering to develop driving cycles: a case study in Zhenjiang

T Wang, Z Jing, S Zhang, C Qiu - Sustainability, 2023 - mdpi.com
Accurate driving cycles are key for effectively evaluating electric vehicle performance. The K-
means algorithm is widely used to construct driving cycles; however, this algorithm is …

Development of a representative driving cycle for urban buses based on the K-means cluster method

P Yuhui, Z Yuan, Y Huibao - Cluster Computing, 2019 - Springer
To establish a representative driving cycle for public urban buses in Fuzhou city, real-world
driving data of 18 buses' routes was gathered. Based on acquisition of the real operational …

Optimization-based method to develop practical driving cycle for application in electric vehicle power management: A case study in Shenyang, China

Z Chen, Q Zhang, J Lu, J Bi - Energy, 2019 - Elsevier
In this study, a novel method for the construction of a driving cycle based on a two-layer
optimization process is proposed with a case study in Shenyang, China. First, the statistical …

The creation of a representative driving cycle based on intelligent transportation system (ITS) and a mathematically statistical algorithm: A case study of Changchun …

J Zhao, Y Gao, J Guo, L Chu - Sustainable Cities and Society, 2018 - Elsevier
This paper is concerned with the development of a representative driving cycle that has
advantages in accuracy and robustness. There are two aspects to achieve the …

A novel particle swarm optimization with improved learning strategies and its application to vehicle path planning

E Lu, L Xu, Y Li, Z Ma, Z Tang… - Mathematical Problems in …, 2019 - Wiley Online Library
In order to balance the exploration and exploitation capabilities of the PSO algorithm to
enhance its robustness, this paper presents a novel particle swarm optimization with …

Application of improved particle swarm optimization in vehicle crashworthiness

D Gao, X Li, H Chen - Mathematical problems in Engineering, 2019 - Wiley Online Library
In the optimization design process, particle swarm optimization (PSO) is limited by its slow
convergence, low precision, and tendency to easily fall into the local extremum. These …

Comparing driving cycle development methods based on markov chains

F Roy, C Morency - Transportation Research Record, 2021 - journals.sagepub.com
The transportation sector is a major contributor to greenhouse gas (GHG) emissions,
accounting for 14% of global emissions in 2010 according to the United States …

Development of a Driving Cycle for Fuzhou Using K‐Means and AMPSO

M Zhao, H Gao, Q Han, J Ge… - Journal of Advanced …, 2021 - Wiley Online Library
The driving cycle is a speed‐to‐time curve, a fundamental technique in the automotive
industry, and also a basis to set standards for fuel consumption and emissions of vehicles. A …

Study on the fuzzy clustering method of the microtrips for passenger car driving cycle in Changchun

S Shi, G Zou, L Liu, H Kui, D Wu… - 2009 IEEE Vehicle …, 2009 - ieeexplore.ieee.org
Driving cycle for passenger car in Changchun is selected as the research object in this
paper. The microtrip database which comes from real-world driving data and reflects the …