Classifying safe following distance for motorcycles to prevent rear-end collisions [0.03%]
摩托车安全跟车距离的分类以预防追尾碰撞
Phanuphong Prajongkha,Kunnawee Kanitpong
Phanuphong Prajongkha
This study aims to classify motorcycle (MC) following distance based on trajectory traffic data and identify the risks associated with MC following distances to prevent rear-end collisions. A total of 8,223 events of a MC following a vehicl...
Bosong Jiao,Harry Evdorides
Bosong Jiao
A well-developed road network plays a crucial role in fostering social and economic progress within a region. However, road crashes resulting in massive injuries and deaths profoundly affect socioeconomic development. There is a need theref...
Accelerated failure time modeling of in-lane street hawkers' lane entry and exit behaviors at signalized intersections [0.03%]
信号交叉口内车道占道摊贩进出场行为的加速失效时间模型分析研究
Philip Kofi Alimo,Lawrencia Agen-Davis,Ling Wang et al.
Philip Kofi Alimo et al.
In-lane street hawking is the intermittent entry of signalized intersections by traders to sell groceries to drivers and passengers. Studies have shown that hawkers get exposed to traffic injuries but the lack of quantitative analysis of th...
The challenge of meeting global targets for road traffic fatality reduction [0.03%]
全球道路交通事故致死率下降目标的挑战
Geetam Tiwari
Geetam Tiwari
Transport fare and road traffic crashes in Nigeria: insights from a geographical analysis [0.03%]
运输费用和尼日利亚的公路交通碰撞：地理分析带来的启示
Richard Adeleke,Ayodeji Emmanuel Iyanda
Richard Adeleke
Road traffic crashes (RTCs) are significantly high in Nigeria with serious social and health consequences. While existing studies on RTCs have mainly focused on the effect of socio-economic, environmental, human and mechanical factors to ad...
A systematic review of risk factors associated with road traffic crashes and injuries among commercial motorcycle drivers [0.03%]
商业摩托车驾驶员道路交通事故和损伤的危险因素系统评价
George Kiwango,Daudi Katopola,Filbert Francis et al.
George Kiwango et al.
To effectively reduce road traffic crashes (RTCs) and injuries interventions should be based on firm evidence regarding risk factors of RTCs and injuries in that specific population. Therefore, we undertook a systematic review to determine ...
Factors influencing the road accidents in low and middle-income countries: a systematic literature review [0.03%]
影响中低收入国家道路交通事故的因素：系统文献回顾
Saddam Hossain,Elena Maggi,Andrea Vezzulli
Saddam Hossain
This paper studies the main factors affecting road traffic accidents (RTAs) using a systematic review. The primary focus is on factors related to road characteristics and driver behaviours. This review also addresses the socioeconomic and d...
Understanding key contributing factors on the severity of traffic violations by elderly drivers: a hybrid approach of latent class analysis and XGBoost based SHAP [0.03%]
理解老年驾驶员交通违章严重程度的关键影响因素：潜类别分析和基于XGBoost的SHAP混合方法
Zhiyuan Sun,Zhicheng Wang,Xin Qi et al.
Zhiyuan Sun et al.
Traffic violation is one of the leading causes of traffic crashes. In the context of global aging, it is important to study traffic violations by elderly drivers for improving traffic safety in preparation for a worldwide aging population. ...
How do drunk-driving events escalate into drunk-driving crashes? An empirical analysis of Beijing from a spatiotemporal perspective [0.03%]
酒驾事件是如何演变成酒驾碰撞的？来自北京的实证分析
Zhiyuan Sun,Keqi Cui,Xin Qi et al.
Zhiyuan Sun et al.
Drunk-driving events often escalate into drunk-driving crashes, however, the contributing factors of this progression remain elusive. To mitigate the likelihood of crashes stemming from drunk-driving events, this paper introduces the notion...
Examining factors affecting driver injury severity in speeding-related crashes: a comparative study across driver age groups [0.03%]
超速相关碰撞中驾驶员受伤程度的影响因素研究：不同驾驶人年龄组之间的比较研究
Chamroeun Se,Thanapong Champahom,Sajjakaj Jomnonkwao et al.
Chamroeun Se et al.
This paper investigates the factors influencing the severity of driver injuries in single-vehicle speeding-related crashes, by comparing different driver age groups. This study employed a random threshold random parameter hierarchical order...