Accident severity prediction on arterial roads via multilayer perceptron neural network [0.03%]
基于多层感知器神经网络的动脉路交通事故严重程度预测
Salam Aied Al-Husban,Mohd Khairul Idham,Khairul Hazman Padil et al.
Salam Aied Al-Husban et al.
Traffic accidents continue to be a major cause of death in urban areas. While recent research has demonstrated the utility of predictive modelling in rural, express and highway environments, a gap remains in understanding the factors that i...
Data as evidence: research on the impacting mechanisms of dual prevention mechanism construction in Chinese coal enterprise based on SEM [0.03%]
基于SEM的中国煤炭企业双重预防机制构建效用及影响机理研究
Jingzhi Wang,Quanlong Liu,Jianping Shang et al.
Jingzhi Wang et al.
Constructing dual prevention mechanisms is important policy for safety risk precontrol in Chinese coalmine. Existing researches mostly focus on the qualitative analysis of dual prevention mechanisms, such as the relevant concept definitions...
Learning from historical evidence to move forward in safety research: systematic reviews and vulnerable road users [0.03%]
从历史数据中学习以推动安全研究发展：系统回顾与弱势道路使用者
Geetam Tiwari
Geetam Tiwari
Safety risk assessment for intersection rear-end conflicts based on collision risk force indicator [0.03%]
基于碰撞风险力指标的交叉口后方冲突安全风险评估
Chengkun Liu,Tao Wang,Shiyi Chen et al.
Chengkun Liu et al.
This study introduces a novel method for assessing the risk of rear-end conflicts based on collision risk force indicator. Drawing on the theory of road user safety fields, we construct a collision risk force indicator tailored for rear-end...
Exploring the speeding behavior among young motorcyclists in Lahore using extended theory of planned behavior: insights for road safety improvements [0.03%]
运用扩展计划行为理论探究拉合尔年轻摩托车手的超速行为及其对改善道路安全的启示
Nazam Ali,Muhammad Ashraf Javid,Charitha Dias et al.
Nazam Ali et al.
Motorcycles are a popular low-cost personal transport mode. Despite their convenience, motorcycles are significantly more dangerous than other modes of transport, accounting for up to 39% of road fatalities in low-income countries. Speeding...
Assessing the impact of demographic and contextual factors on cyclist safety at midblock locations and intersections [0.03%]
评估人口和环境因素对机动车道上骑行者安全的影响
Puteri Intan Solha Salim,Rusdi Rusli,Sharifah Allyana Syed Mohamed Rahim et al.
Puteri Intan Solha Salim et al.
Cyclist crashes are a growing concern in Malaysia due to cyclists' vulnerability and infrastructural risks. This study identifies demographic and contextual factors influencing risky cyclist behaviours in Kuala Lumpur, Cyberjaya, and Shah A...
A systematic literature review on road safety management: land use, budget and legislation [0.03%]
关于道路安全管理体系的文献综述：土地使用、预算和立法
Rahul Narayan,K Jayakesh
Rahul Narayan
Road safety is a significant developmental delinquent, an issue of public health, and a major global cause of demise and injury. Several research and review articles were focused on road safety concerning road characteristics, vehicle chara...
Pickup truck crash severity analysis via machine learning: policy insights for developing countries [0.03%]
机器学习在皮卡碰撞事故严重程度分析中的应用——发展中国家的道路交通安全政策启示
Chamroeun Se,Thanapong Champahom,Sajjakaj Jomnonkwao et al.
Chamroeun Se et al.
This study pursues two complementary objectives: first, evaluating machine learning approaches for crash severity prediction to address methodological gaps in pickup truck crash analysis; second, systematically comparing single- versus mult...
Identifying factors affecting crash injury severity of pillion riders using interpretable machine learning techniques [0.03%]
基于可解释机器学习技术识别影响乘坐人的事故伤害严重程度的因素
Anju K Panicker,Gitakrishnan Ramadurai
Anju K Panicker
In India, motorized two-wheeler (TW) riders account for 44.5% of fatal road crashes. While factors affecting drivers have been studied, research on pillion riders' injury severity remains limited. The study aims to identify factors causing ...
Bayesian networks for identifying causal effects of factors on crash injury severity at signalized intersections [0.03%]
信号控制交叉口碰撞损伤严重程度的贝叶斯网络因果分析模型研究
Qianwei Xuan,Guopeng Zhang,Shuwu Wei et al.
Qianwei Xuan et al.
Signalized intersections are the areas where traffic crashes with severe injuries frequently happen. Although existing studies have explored the factors affecting crash injury severity at signalized intersections, intricate causal relations...