Abstract
In this paper, the driving cycle of electric special-purpose vehicle in Beijing is investigated. Firstly a reasonable experimental scheme is made, in which several electric van trucks are selected to represent the special-purpose vehicle. A new type of data collection transmission and management system based on GPRS communication is used. Then the obtained data is preprocessed and divided into microtrips, and many characteristic parameters are selected. Finally, a representative driving cycle of electric van trucks for the typical roads in Beijing is worked out by principal component analysis and k-means clustering method. Besides, compared with the test data, the results show that the fitted driving cycle can represent the overall traffic condition of electric special-purpose vehicle in Beijing.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
