Exploring Driver Injury Severity in Single-Vehicle Crashes under Foggy Weather and Clear Weather
The purpose of this study is to investigate and compare the significant influencing factors of driver injury severity in single-vehicle (SV) crashes under foggy and clear weather conditions. Based on data for SV crashes in Shandong Province, China, the mixed logit model (MLM) was employed to interpr...
Saved in:
| Main Authors: | Fulu Wei, Zhenggan Cai, Pan Liu, Yongqing Guo, Xin Li, Qingyin Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/9939800 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Efficient and Cost-Effective Vehicle Detection and Tracking System for Collision Avoidance in Foggy Weather
by: Naeem Raza, et al.
Published: (2025-01-01) -
Exploring the injury severity of unlicensed powered two- and three-wheeler drivers in two-vehicle crashes in China
by: Peixiang Xu, et al.
Published: (2025-04-01) -
YOLO-Extreme: Obstacle Detection for Visually Impaired Navigation Under Foggy Weather
by: Wei Wang, et al.
Published: (2025-07-01) -
An object detection method in foggy weather based on novel feature enhancement and fusion
by: ZHU Lei, et al.
Published: (2023-12-01) -
Modeling Car-Following Behaviour of Turning Movements at Intersections with Consideration of Turning Radius
by: Fulu Wei, et al.
Published: (2020-01-01)