Investigating the impacts of autonomous vehicles on crash severity and traffic safety

D Almaskati, S Kermanshachi… - Frontiers in Built …, 2024 - frontiersin.org
Traffic accidents are a nationwide public health concern, but autonomous vehicles (AVs)
have the potential to significantly reduce accident severity and frequency by eliminating their …

Anisotropy safety potential field model under intelligent and connected vehicle environment and its application in car-following modeling

H Ma, B An, L Li, Z Zhou, X Qu… - Journal of Intelligent and …, 2023 - ieeexplore.ieee.org
Potential field theory, as a theory that can also be applied to vehicle control, is an emerging
risk quantification approach to accommodate the connected and self-driving vehicle …

Robust 3D semantic segmentation based on multi-phase multi-modal fusion for intelligent vehicles

P Ni, X Li, W Xu, D Kong, Y Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
3D semantic segmentation is a key technology for intelligent vehicles. Recently, great efforts
have been made to achieve accurate and robust 3D semantic segmentation results through …

A Review of Factors Affecting Severity of Autonomous Vehicle Crashes

D Almaskati, S Kermanshachi… - … on Transportation and …, 2024 - ascelibrary.org
Most of the researchers who have explored the factors that affect the severity of crashes
involving autonomous vehicles (AVs) by analyzing the data made available by the California …

A study on Autonomous Vehicles' Driving Behavior Based on Open Road Test Data

X Han, M Shao, L Sun, Y Yuan - 2023 7th International …, 2023 - ieeexplore.ieee.org
In this paper, the Autonomous Vehicles (AVs)'actual driving performance in open road test
and its impacts on traffic were studied. We used free flow speed, minimum headway …

Comparison of incidence and outcome between occupational and non-occupational motorcycle injuries in Korea: A 7-years observational study

S Moon, HW Ryoo, JW Cho, H Jung, KS Seo, KH Lim - PLoS one, 2023 - journals.plos.org
Motorcycles are widely used in various workplaces. Motorcycle use for occupational
purposes continues to increase owing to growing e-commerce. Here, we aimed to highlight …

面向无人驾驶车辆的行车安全场模型构建方法

谢楚安, 任羿, 杨德真, 冯强, 孙博… - 北京航空航天大学学报, 2022 - bhxb.buaa.edu.cn
针对全面系统评价无人驾驶车辆行车安全方法欠缺的问题, 提出一种改进的无人驾驶车辆行车
安全场模型. 考虑无人驾驶车辆复杂道路因素, 人工智能(AI) 系统感知, 决策, 控制3 …

Enhancing AV Safety: A Bagging Classifier Approach for Predicting Crash Outcomes

SS Channamallu, D Almaskati… - … on Transportation and …, 2024 - ascelibrary.org
Safety is the predominant concern in the advancement of automated vehicles (AVs);
therefore, extensive real-world testing is underway to ensure their secure operation. Despite …

[HTML][HTML] A Study on Autonomous Vehicle Crash Hierarchy Analysis and Severity Model Based on Bayesian Probabilistic Inference

S Lee, J Park - Journal of Korean Society of Transportation, 2024 - jkst.or.kr
With the advancement of Advanced Driver Assistance System technology, autonomous
driving technology is get a attention as a key component of smart transportation systems …

Interpretable machine learning models for detecting fine-grained transport modes by multi-source data

Y Liu, J Chen, Y Wang, W Wang - Electronic Research Archive, 2023 - aimspress.com
Analysis of transport mode choice is crucial in transportation planning and optimization.
Traditionally, the transport mode of individuals is detected by discrete choice models …