Ta-SLOA: Taylor snow leopard optimization with XCovNet-based object classification using vehicle image [0.03%]
基于XCovNet的目标分类的泰勒雪豹优化算法-Ta-SLOA及其在车辆图像中的应用
Selvamuthukumar Thirumavalavan,Vijayalakshmi Kaliyaperumal,Abinaya Ramaiyan et al.
Selvamuthukumar Thirumavalavan et al.
Objective: Detecting objects is a core challenge in computer vision and plays a vital role in applications like self-driving cars, traffic surveillance, and smart transportation networks. Accurate vehicle object detection...
The interactive effects of NDRT cognitive complexity and traffic density on takeover performance in level 3 automated driving: a multimodal EEG and behavioral study [0.03%]
基于多模态EEG和行为数据的NDRT认知复杂度和交通密度对三级自动驾驶接管性能的影响研究
Qi Guo,Mengting Tang,Yitao Yang
Qi Guo
Objective: In Level 3 automated driving, driver takeover performance is influenced by cognitive state and external traffic conditions. This study investigates the interactive effects of Non-Driving Related Task (NDRT) cog...
The impact of guide sign informational density on driver cognitive load: An integrated simulator and real-world driving study [0.03%]
指引标志信息密度对驾驶人认知负荷的影响：基于模拟器和真实场景的实证研究
Yunwei Meng,Jiaxing Li,Jiajun Shen et al.
Yunwei Meng et al.
Objective: In road sign design, inappropriate layout can easily lead to excessive cognitive load on drivers. This hinders their ability to effectively allocate attention, resulting in missed critical road information and ...
Exploring the latent factors affecting motorcycle crashes by using latent class clustering analysis and multinomial logit models [0.03%]
基于潜在类别聚类分析和多项logit模型探究摩托车事故发生的影响因素
Chen-Wen Fang,Yang-Kun Ou,Jia-Jin Jason Chen et al.
Chen-Wen Fang et al.
Objective: Motorcycle crashes constitute a critical safety issue in Taiwan, particularly in Tainan, a city characterized by exceptionally high motorcycle ownership, dense traffic environments, and complex street network d...
Modeling driver information transmission during turning at unsignalized intersections: a driving simulator study [0.03%]
信号交叉口左转过程中驾驶员信息传输建模：驾驶模拟器研究
Dingan Ni,Yanning Zhou
Dingan Ni
Objective: The proportion of older drivers has increased with the aging population. In order to solve the problem of high accident tendency at unsignalized intersections caused by improper driving behavior of older driver...
Partial cannabis legalization and the increase of the THC threshold in road traffic: a statistical analysis of traffic cases before and after legal changes [0.03%]
部分大麻合法化与道路上THC阈值的增加：法律变更前后交通案件的统计分析
Ariane Wohlfarth,Thomas Franz,Gisela Adelheid Skopp et al.
Ariane Wohlfarth et al.
Objective: On April 1, 2024, cannabis was partially legalized in Germany, accompanied by an increase in the statutory Δ9-tetrahydrocannabinol (THC) threshold for administrative traffic offenses from 1.0 to 3.5 ng THC/mL ...
Improved Balanced Random Forest (iBRF): A flexible hybrid resampling-bagging framework for crash severity classification in imbalanced datasets [0.03%]
改进的平衡随机森林（iBRF）：不平衡数据集中的碰撞严重程度分类的灵活混合重采样-装袋框架
Seyed Iman Mohammadpour,Javadreza Vahedi
Seyed Iman Mohammadpour
Objective: Class imbalance presents a notable challenge in accurately classifying severe crash outcomes, which typically constitute the minority class. Ignoring class imbalance may lead to biased or misleading interpretat...
Machine learning and Geographic Information Systems (GIS)-based model for road crash severity prediction and behavioural pattern analysis [0.03%]
基于机器学习和地理信息系统(GIS)的交通事故严重程度预测及行为特征分析模型研究
Lara A Al-Mashagba,Putra Sumari,Mohammadnour Mashagba et al.
Lara A Al-Mashagba et al.
Objectives: Road traffic injuries constitute a major public health problem in low- and middle-income countries, including Jordan. This study develops a hybrid machine learning and Geographic Information Systems (GIS)-base...
Mapping clusters of road traffic accident fatalities and injuries: A spatiotemporal study in Isfahan Province, Iran [0.03%]
伊朗伊斯法罕省道路交通事故死亡和受伤的时空分布规律研究
Mahdis Rahmati,Hossein Aghamohammadi,Saeed Behzadi et al.
Mahdis Rahmati et al.
Objective: Road traffic accidents (RTAs) pose a significant challenge to global public health. In Iran, Isfahan Province experiences a high rate of RTAs, leading to many injuries and fatalities. Despite this, no comprehen...
Xiaoxia Xiong,Meihua Chen,Yingfeng Cai et al.
Xiaoxia Xiong et al.
Objective: To address the limited consideration of driving style diversity in group-level risk propagation analysis, a Dynamic Interaction Potential (DIP)-based framework is proposed to capture the risk evolution patterns...