Calibration of Aimsun roundabout model: Pedestrian and vehicles flow. Issue 1 (1st January 2019)
- Record Type:
- Journal Article
- Title:
- Calibration of Aimsun roundabout model: Pedestrian and vehicles flow. Issue 1 (1st January 2019)
- Main Title:
- Calibration of Aimsun roundabout model: Pedestrian and vehicles flow
- Authors:
- Garmei, Saeed
Kashi, Ehsan - Editors:
- Liu, Shan
- Abstract:
- Abstract: Nowadays, pedestrians play an effective role on roundabout capacity and urban intersection. In this study, the results of stimulation and collaboration of Aimsun software are studied. First, the volume of pedestrians and passing vehicles is evaluated. The results showed that the average speed of pedestrian was 4.25 km/h, and the reaction time from the default of 1.35 s changed to 0.9 s. Also, the comparison results of the two moods showed that the average speed in the calibrated state decreased by 48% and the delay time decreased by 5%. Therefore, if the calibration of pedestrian movement is measured accurately.
- Is Part Of:
- Cogent engineering. Volume 6:Issue 1(2019)
- Journal:
- Cogent engineering
- Issue:
- Volume 6:Issue 1(2019)
- Issue Display:
- Volume 6, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 6
- Issue:
- 1
- Issue Sort Value:
- 2019-0006-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-01-01
- Subjects:
- roundabout stimulation -- pedestrian movement -- Aimsun calibration -- density
Engineering -- Periodicals
Technology -- Periodicals
Engineering
Technology
Periodicals
620 - Journal URLs:
- http://bibpurl.oclc.org/web/73324 ↗
http://cogentoa.tandfonline.com/journal/oaen20 ↗
http://www.tandfonline.com/toc/oaen20/1/1 ↗
http://www.tandfonline.com/ ↗
http://cogentoa.tandfonline.com/journal/oaps20 ↗ - DOI:
- 10.1080/23311916.2019.1686796 ↗
- Languages:
- English
- ISSNs:
- 2331-1916
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21722.xml