Exploring Factors Influencing Crash Occurrence Involving Autonomous Vehicle: Random Parameters Model With Heterogeneity in Means and Variances Approach
Autonomous vehicle (AV) technologies are expected to play a crucial role in reducing traffic crashes occurred by human factors; however, foreseeable coexistence of AVs with human-driven vehicles (HDVs) for an extended transition period raises safety concerns. Understanding factors influencing AV-inv...
Saved in:
Main Authors: | Haocheng Li, Amjad Pervez, Jaeyoung Jay Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10850905/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predictive analytics in autonomous vehicles safety: crash outcome modeling
by: Sai Sneha Channamallu, et al.
Published: (2024-12-01) -
Seasonal variations and temporal instability of motorcyclist injury severity in Cambodia: Analyses based on a random parameter logit model with heterogeneity in means and variances
by: Yaqiu Li, et al.
Published: (2024-11-01) -
RISKY BEHAVIOUR AMONG ROAD USERS AT LOCATIONS WITH HIGH PROBABILITY OF CRASH OCCURRENCE
by: Santiago CARDONA URREA, et al.
Published: (2024-08-01) -
A Data-Driven Deep Learning Framework for Prediction of Traffic Crashes at Road Intersections
by: Mengxiang Wang, et al.
Published: (2025-01-01) -
Cost of travel delays caused by traffic crashes
by: Ting Lian, et al.
Published: (2024-12-01)