Driver Preference and Level of Trust Related to Real-Time Road Freezing Risk Information
Bad weather conditions can affect normal driving by substantially hindering visibility. Among all adverse weather conditions, road freezing is probably the most dangerous to drivers because slippery roads reduce surface friction and can lead to loss of vehicle control. This paper evaluates driver pr...
Saved in:
| Main Authors: | Moataz Bellah Ben Khedher, Choong Heon Yang, Jin Guk Kim, Duk Geun Yun, Sung Pil Shin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/4791657 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Interpretable Machine Learning-Based Hurdle Model for Zero-Inflated Road Crash Frequency Data Analysis: Real-World Assessment and Validation
by: Moataz Bellah Ben Khedher, et al.
Published: (2024-11-01) -
Road Hazard Assessment Using Pothole and Traffic Data in South Korea
by: Choong Heon Yang, et al.
Published: (2021-01-01) -
Impact of Road Environment on Drivers’ Preference to Merging Location Selection in Freeway Work Zone Merging Areas
by: Biao Wu, et al.
Published: (2022-01-01) -
Chloride Transport in OPC Concrete Subjected to the Freeze and Thaw Damage
by: Ki Yong Ann, et al.
Published: (2017-01-01) -
Integrated deep learning framework for driver distraction detection and real-time road object recognition in advanced driver assistance systems
by: Rakesh Salakapuri, et al.
Published: (2025-07-01)