Potential of Highly Automated Vehicles for Monitoring Fatigued Drivers and Explaining Traffic Accidents on Motorway Sections
The near-future deployment of high-level automation vehicles (AVs) can render promising opportunities to solve ongoing hindrances in modern safety-related research. Monitoring fatigued drivers on any road section is one of these challenges. Vehicle trajectory big data, monitored through AVs, include...
Saved in:
| Main Authors: | Hyun-ho Chang, Byoung-jo Yoon |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/3610923 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Potentialities of Autonomous Vehicles for Online Monitoring of Motorway Traffic Volume
by: Hyun-ho Chang, et al.
Published: (2018-01-01) -
Driver Injury Prediction and Factor Analysis in Passenger Vehicle-to-Passenger Vehicle Collision Accidents Using Explainable Machine Learning
by: Peng Liu, et al.
Published: (2025-05-01) -
A Crash Surrogate Metric considering Traffic Flow Dynamics in a Motorway Corridor
by: Xu Wang, et al.
Published: (2018-01-01) -
Enhancing Traffic Accident Severity Prediction: Feature Identification Using Explainable AI
by: Jamal Alotaibi
Published: (2025-04-01) -
Stability Analysis of Heterogeneous Traffic Flow with Connected and Automated Vehicles: Joint Consideration of Communication Failures and Driver Takeover
by: Xuedong Hua, et al.
Published: (2022-01-01)