Clustering and smoothing using real data collected from city buses to extract the driving ‎cycle in Kermanshah city

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Mohammadsadeghi Farshad; Azadi Mohammad; Masih Tehrani Masoud; Malekan Ali; Keshavarzi Ali; Saeidi Googarchin Hamed

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: THE JOURNAL OF ENGINE RESEARCH Year:2024 | Volume:71 | Issue:2 Page(s): 1-17

Download Full-Text

Persian Verion

View:

Download:

Cites:

Information Journal Paper

Title

Clustering and smoothing using real data collected from city buses to extract the driving ‎cycle in Kermanshah city

Author(s)

Keywords

Driving Cycle

Clustering

k-Means Algorithm

City bus

Kermanshah city

Abstract

Each Driving Cycle designed to monitor fuel consumption, vehicle emissions, and the specific driving patterns of a region is created to facilitate better planning and enhancement of local standards. In this study, the Real Driving Emissions (RDE) method, regarded as one of the most precise techniques for determining Driving Cycles, was employed. To gather the necessary data, GPS from mobile phones was utilized while traveling on City buses through the streets of Kermanshah. This data collection included recording speed, acceleration, duration of constant speed, deceleration, altitude, number of braking events, and the duration of stops along the route from origin to destination. The research employed the Clustering of real city data and the K-means method to derive the Driving Cycle for Kermanshah’s City buses. Analyzing the collected data reveals that bus drivers in Kermanshah tend to avoid rapid acceleration and high constant speeds, leading to reduced fuel consumption in the City bus cycle, indicating that this behavior is intentional and aimed at this goal.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans