| Issue |
MATEC Web Conf.
Volume 124, 2017
2017 6th International Conference on Transportation and Traffic Engineering (ICTTE 2017)
|
|
|---|---|---|
| Article Number | 04008 | |
| Number of page(s) | 7 | |
| Section | Traffic Safety and Risk Assessment | |
| DOI | https://doi.org/10.1051/matecconf/201712404008 | |
| Published online | 29 September 2017 | |
Analysis of drivers’ errors at roundabouts in Morocco
Research team “Engineering, management and optimization of Systems” (EMOSYS), Industrial Engineering Department, Mohammadia School of Engineering, Rabat, Morocco, BP 765 Rabat Agdal, Code postal 10100, Morocco
Roundabouts have increased in a significant way in recent years in Moroccan cities as they have been seen as a solution to congestion problems and traffic safety issues. However, roundabouts are relatively new to Moroccan drivers and the rules of priority to which the users are accustomed are reversed in roundabouts. This can lead to confusion and misleading. The overall objective of this study is to identify roundabout features that appear to play a role in the difficulties that drivers encounter when crossing roundabouts. This paper will present a comprehensive understanding of what is required of drivers when crossing roundabouts. We then predict failures that can occur at roundabout using our driver error taxonomy. A case study of two roundabouts in Morocco is analyzed as illustration. The paper concludes with implications of the findings to future design.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.