Issue |
E3S Web Conf.
Volume 427, 2023
International Conference on Geotechnical Engineering and Energetic-Iraq (ICGEE 2023)
|
|
---|---|---|
Article Number | 03040 | |
Number of page(s) | 5 | |
Section | Transportation Science and Technology | |
DOI | https://doi.org/10.1051/e3sconf/202342703040 | |
Published online | 13 September 2023 |
An Impact of Traffic Characteristics on Crash Frequency
Highway and Transportation Engineering Department, Mustansiriyah University, Baghdad, Iraq
a* Corresponding author abeer_khudhur@uomustansiriyah.edu.iq
With the development of roads, modes of transportation were also developed, and increasing numbers of those modes and routes were needed. This increase brought into focus many problems of the highway system. One of the most important concerns in the highway networks is road safety, which requires various studies to be carried out to reduce crash causalities. One of the factors that affect road safety is the traffic characteristics. This includes average daily traffic, operating speed, traffic density, and heavy vehicles percentage. This study focused on the effect of average daily traffic and heavy vehicles percentage on crash frequency. The old Baghdad – Baquba rural road, a two-lane, two-way road, was chosen for this study. This study used two sets of data (traffic characteristics and crash data). Generalized linear regression models were utilized to develop a model that reflects the effect of the average daily traffic and heavy vehicles percentage on crash frequency. The results showed a positive correlation between average daily traffic and crash frequency and between heavy vehicles percentage and crash frequency.
Key words: Road safety / traffic characteristics / crash frequency
© The Authors, published by EDP Sciences, 2023
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.