Article
Biotechnology & Applied Microbiology
Donghua Zou, Ying Fan, Ningguo Liu, Jianhua Zhang, Dikun Liu, Qingfeng Liu, Zhengdong Li, Jinming Wang, Jiang Huang
Summary: This study aims to accurately reconstruct vehicle-pedestrian accidents by combining an improved optimization algorithm with MADYMO multibody simulations and crash data. The study found that NSGA-II algorithm outperformed other algorithms in terms of convergence, generating more noninferior solutions, and better final solutions. The results suggest that multibody simulations coupled with optimization algorithms can be used for accurate reconstruction of vehicle-pedestrian collisions.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Ergonomics
Jingwen Hu, Carol Flannagan, Sailesh Ganesan, Patrick Bowman, Wenbo Sun, Iskander Farooq, Anil Kalra, Jonathan Rupp
Summary: The study aims to understand the distribution and mechanism of pedestrian injuries by analyzing recent pedestrian crash cases. It also examines the potential benefit of pedestrian automatic emergency braking (PedAEB) in reducing pedestrian injury risks through computational simulations. The study highlights the importance of future research on chest injury risk for pedestrian protection, considering the increased proportion of SUVs and pickup trucks in the vehicle fleet and the higher penetration of PedAEB.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Engineering, Manufacturing
Tiefang Zou, Aimin Zha, Qi Liu, Ciaran Simms
Summary: The problem of injury protection for pedestrians is a popular topic in traffic safety research, and simulations play an important role. By observing and reconstructing 150 vehicle-pedestrian collision videos, three different pedestrian gait series (walking, running, and emergency) were identified. Results showed that pedestrian speed and injury vary among the different gait series, and there is a significant difference between pedestrian speed before and at the instant of collision in the same gait series. Furthermore, ten pedestrian gaits in each gait series were proposed based on the observed results, and simulation outcomes revealed different levels of pedestrian injury in different gait series and gaits within the same gait series. The observed pedestrian gaits will contribute to the design of more objective simulation experiments for analyzing pedestrian injury in the future.
INTERNATIONAL JOURNAL OF CRASHWORTHINESS
(2022)
Article
Pediatrics
Sadiqa Kendi, Brian D. Johnston
Summary: This statement summarizes new evidence and strategies in the field of pedestrian safety, including pediatric pedestrian education, risks of distracted walking, safe routes to school, and the Vision Zero strategy. It aims to support pediatricians in offering evidence-based advice to families about active transportation and safety precautions for child pedestrians at different ages.
Review
Computer Science, Interdisciplinary Applications
Daniel Wdowicz, Mariusz Ptak
Summary: The review paper presents an overview of numerical human body models of pedestrians, discussing their development, validation, and areas of application. It compares multibody models and finite element models and discusses accident-based and experimental approaches to model validation. In addition, the paper introduces the use of multibody models in forensic investigations, highlights their differences from advanced multibody and finite element models, and explores the latest trends in human body modeling, such as open-source approaches and digital simulation replacing physical tests.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Suji Kim, Kitae Jang, Sungjin Park
Summary: This study analyzed pedestrian volume and crash data from Seoul Metropolitan City and Jeju Island to examine the effects of the 'safety in numbers' phenomenon on crash occurrences and severe or fatal injuries. The results showed that as pedestrian volume increases, the expected pedestrian crash rate and the probability of severe or fatal injuries decline. These findings provide logical evidence to support policies promoting walking trips and suggest additional benefits beyond the well-known economic, health, and environmental benefits.
Article
Ergonomics
Milan Paudel, Fook Fah Yap, Tantyana Binte Mohamed Rosli, Kai Hou Tan, Hong Xu, Nader Vahdati, Haider Butt, Oleg Shiryayev
Summary: Bicyclists and pedestrians are vulnerable road users. This study investigates bicyclist-pedestrian collisions and their injury outcomes, finding that collision speed, height and weight, bicycle mass, and impact direction significantly affect injury. Recommendations are proposed to minimize conflicts between bicyclists and pedestrians on shared paths.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Chemistry, Multidisciplinary
Bogdan Benea, Adrian Soica
Summary: This research analyzed a subset of car and pedestrian accidents to improve the information regarding accident reconstruction. Real tests with pedestrian dummies and simulations of vehicle-pedestrian impact were conducted. The results highlight the differences between current accident reconstruction models and the proposed study.
APPLIED SCIENCES-BASEL
(2023)
Article
Environmental Studies
Josh Roll, Nathan McNeil
Summary: Pedestrian injuries are increasing as a percentage of overall traffic injuries, and there are disparities in injury risk among different sociodemographic groups. This study examines pedestrian safety disparities in Oregon and finds that lower income and higher proportions of BIPOC residents are associated with higher rates of pedestrian injuries.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Ki-Man Hong, Sang-Hoon Son, Jong-Hoon Kim
Summary: The study analyzed the effectiveness of pedestrian safety services in reducing pedestrian traffic accidents by investigating vehicle speeds at two demonstration points. The results showed that vehicle speeds decreased when the services were provided, with a more pronounced effect in the child protection zone. It was concluded that efficient pedestrian safety services need to be provided, considering the characteristics and surrounding environment of each point.
Article
Biotechnology & Applied Microbiology
Guibing Li, Jinming Liu, Kui Li, Hui Zhao, Liangliang Shi, Shuai Zhang, Jin Nie
Summary: The study investigated the characteristics of pedestrian head-to-vehicle contact boundary conditions and head injury risk in real-world collisions using kinematic-based criteria. The findings revealed that head-to-windscreen contacts were predominant, with pedestrian head linear contact velocity below 45 km/h and angular contact velocity less than 40 rad/s being common.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Engineering, Manufacturing
Tiefang Zou, Qi Liu, Aiming Zha, Ciaran Simms, Tao Chen
Summary: Controlling vehicle braking can help reduce ground contact injuries for pedestrians, particularly in terms of head and pelvis injuries. Full vehicle braking has little impact on overall pedestrian injury outcome. External airbags can effectively mitigate ground contact in controlled braking. Controlled braking may generally provide a benefit for reducing ground contact injuries.
INTERNATIONAL JOURNAL OF CRASHWORTHINESS
(2022)
Article
Environmental Studies
Menglong Wu, Yicheng Ye, Lihua Ke, Nanyan Hu, Qihu Wang, Yufei Li
Summary: Safety accident prediction is crucial for accident prevention and safety management decision-making. This study analyzes the evolution characteristics and complexity of non-coal mine safety production situation, and proposes a multi-modal HMM prediction model using the CEEMDAN method. The results demonstrate that the model achieves higher accuracy in predicting the non-coal mine safety production situation. This research provides valuable insights for decision-makers to accurately understand the changes in mine safety production and make informed decisions.
Article
Chemistry, Analytical
Qian Wang, Bo Wei, Zheng Wei, Shang Gao, Xianlong Jin, Peizhong Yang
Summary: This study presents a novel approach for reconstructing moving pedestrian traffic accidents using a humanoid robot method. The rigid-flexible coupling HBMs are used to build pedestrians, allowing for simulation of running and analysis of human injuries. The feasibility of the RP reconstruction method is validated through comparisons with simulated dynamics and forensic autopsy results.
Article
Green & Sustainable Science & Technology
Almudena Sanjurjo-de-No, Ana Maria Perez-Zuriaga, Alfredo Garcia
Summary: This research examines the impact of micromobility vehicles on pedestrian injury severity in urban areas of Spain between 2016 and 2021. The findings suggest that age and collision location or timing are significant factors affecting injury severity. Specifically, pedestrians aged 70 or older are more vulnerable to injuries, and collisions at junctions or on weekends result in worse outcomes. The study also highlights the influence of offenses and distractions by micromobility users and pedestrians. Recommendations for enhancing micromobility road safety and reducing pedestrian injuries include separating micromobility traffic from pedestrian areas and implementing training and awareness campaigns.
Article
Automation & Control Systems
Alberto Lopez, Cristina Moriano, Jose Luis Olazagoitia, Francisco Javier Paez
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2015)
Article
Environmental Studies
Jose M. Lopez-Martinez, Felipe Jimenez, F. Javier Paez-Ayuso, M. Nuria Flores-Holgado, Angelica N. Arenas, Blanca Arenas-Ramirez, Francisco Aparicio-Izquierdo
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2017)
Article
Engineering, Electrical & Electronic
F. Jimenez, F. Aparicio, J. Paez
IET INTELLIGENT TRANSPORT SYSTEMS
(2008)
Article
Engineering, Mechanical
A. Badea, A. Furones, F. J. Paez, C. Gonzalez
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY
(2010)
Proceedings Paper
Transportation
Francisco Martinez, Javier Paez, Arturo Furones, Samuel Sanchez
EFFICIENT, SAFE AND INTELLIGENT TRANSPORT
(2016)
Article
Ergonomics
F. Aparicio Izquierdo, B. Arenas Ramirez, J. M. Mira McWilliams, J. Paez Ayuso
ACCIDENT ANALYSIS AND PREVENTION
(2011)
Article
Engineering, Mechanical
AG Gracia, F Jimenez, JPA Narvaez
INTERNATIONAL JOURNAL OF VEHICLE DESIGN
(2006)
Article
Engineering, Mechanical
Andrs Garcia, Angel Martin, Javier Paez
INTERNATIONAL JOURNAL OF VEHICLE DESIGN
(2006)
Article
Engineering, Manufacturing
L Martinez, F Aparicio, A Garcia, J Paez, G Ferichola
INTERNATIONAL JOURNAL OF CRASHWORTHINESS
(2003)
Article
Engineering, Industrial
Hao Sun, Haiqing Wang, Ming Yang, Genserik Reniers
Summary: To maintain continuous production, chemical plant operators may choose to ignore or handle faults online rather than shutting down process systems. However, the interaction and interdependence between components in a digitalized process system are significant, and faults can propagate to downstream nodes, potentially leading to risk accumulation and major accidents. This study proposes a dynamic risk assessment method that integrates the system-theoretic accident model and process approach (STAMP) with the cascading failure propagation model (CFPM) to model the risk accumulation process. The proposed method is applied to a Chevron refinery crude unit and demonstrates its effectiveness in quantifying the process of risk accumulation and providing real-time dynamic risk profiles for decision-making.
Article
Engineering, Industrial
M. Rempel
Summary: This article examines a major maritime disaster scenario and explores the evacuation process in such a situation. The study finds that there are various factors that affect the number of lives saved, including the uncertainty of individuals' medical condition, the arrival time of maritime and air assets, and the decision policies used. The authors formulate the multi-domain operation as a sequential decision problem using a modeling framework and provide decision support through a hypothetical case study.
Review
Engineering, Industrial
D. Scorgie, Z. Feng, D. Paes, F. Parisi, T. W. Yiu, R. Lovreglio
Summary: This study investigates the application and effectiveness of VR safety training solutions in various industries such as construction, fire, aviation, and mining. The findings suggest a need for more studies that adopt theories and measure long-term retention. Two meta-analyses demonstrate that VR safety training outperforms traditional training in terms of knowledge acquisition and retention.
Article
Engineering, Industrial
Shital Thekdi, Terje Aven
Summary: This paper examines biases in risk studies and investigates how to identify and address them to ensure high-quality risk analysis. By considering biases related to systematic error, event inclusion, models, and cognitive factors, the paper explores their influence on risk characterization. The insights gained from this exploration can be valuable to risk analysts, policymakers, and other stakeholders involved in risk study applications.
Article
Engineering, Industrial
Maryam Lari
Summary: Occupational health and safety (OHS) are crucial for employee well-being and productivity. This study examines the impact of OHS practices on employee productivity in a UAE Fire and Security company, finding that OHS interventions can enhance workplace ambiance and significantly boost employee productivity.
Review
Engineering, Industrial
Elleke Ketelaars, Cyrille Gaudin, Simon Flandin, Germain Poizat
Summary: This systematic literature review examines the literature on resilience training (RT), specifically focusing on the effectiveness of RT interventions in preparing professionals to effectively respond to critical situations. The review identifies five types of RT and suggests the need for conceptual advancements, vocational education and training perspectives, and a cross-disciplinary approach in future research to enhance resilience in safety-related domains.
Article
Engineering, Industrial
Meng Shi, Zhichao Zhang, Wenke Zhang, Yi Ma, Hanbo Li, Eric Wai Ming Lee
Summary: This study investigates pedestrian behaviours and evacuation processes in both fire and non-fire conditions using Minecraft. The results demonstrate the potential of Minecraft for realistically simulating evacuation processes, as the behaviours and flow patterns of pedestrians in virtual experiments fit well with real-life experiments. The study also shows that pedestrians exhibit fire avoidance behaviours and orderly queuing during a fire emergency, resulting in faster evacuation.
Article
Engineering, Industrial
Andrea Bikfalvi, Esperanza Villar Hoz, Gerusa Gimenez Leal, Monica Gonzalez-Carrasco, Nuria Mancebo
Summary: This paper proposes a solution for integrating occupational safety and health (OSH) into education, combining theoretical foundations and empirical evidence. The findings include analysis of teachers as stakeholders, barriers and facilitators of OSH integration, and the development of an ICT tool for interaction and sharing in this field. The main contribution lies in envisioning, orchestrating, and validating a solution to integrate OSH into schools and ultimately contribute to sustainable development goals.
Article
Engineering, Industrial
David Rehak, Alena Splichalova, Martin Hromada, Neil Walker, Heidi Janeckova, Josef Ristvej
Summary: This article discusses the adoption of a new directive on the resilience of critical entities and emphasizes the importance of assessing their level of resilience in relation to current security threats. The authors have developed a tool, known as the CERFI Tool, which uses a probabilistic algorithm to predict the failure point of critical entity resilience based on the relationship between threat intensity and protection. The tool is important for increasing the safety of technically oriented infrastructures, particularly in the energy and transport sectors.
Review
Engineering, Industrial
Leonardo Leoni, Ahmad Bahootoroody, Mohammad Mahdi Abaei, Alessandra Cantini, Farshad Bahootoroody, Filippo De Carlo
Summary: This paper presents a systematic bibliometric analysis (SBA) on the research of machine learning and deep learning in the field of safety. The main research areas, application fields, relevant authors and studies, and temporal evolution are investigated. It is found that rotating equipment, structural health monitoring, batteries, aeroengines, and turbines are popular fields, and there is an increase in popularity of deep learning and new approaches such as deep reinforcement learning.
Article
Engineering, Industrial
Tom Becker, Peter Ayton
Summary: By analyzing global civil aviation data, we found that there is a significant increase in the number of accidents and safety critical incidents, as well as the fatalities, when the Pilot-in-Command acts as the Pilot Flying instead of the Pilot Monitoring. Most of these events occurred in technically airworthy aircraft without any emergencies, and the flight crew assessed them as preventable. These findings align with the crew assignment effect, suggesting that role-dependent status hierarchy and cognitive overload contribute to ineffective flight crew teamwork. The measures implemented to enhance flight crew teamwork, such as Crew Resource Management training, have not been successful in preventing these issues.
Article
Engineering, Industrial
Ben Hutchinson, Sidney Dekker, Andrew Rae
Summary: This study found that health and safety audits often fail to identify critical deficiencies, with corrective actions mainly focusing on superficial fixes rather than addressing significant operational risks.
Review
Engineering, Industrial
Sina Rasouli, Yaghoub Alipouri, Shahin Chamanzad
Summary: Construction projects are risky environments, but the development of Personal Protective Equipment (PPE) and comprehensive safety management can effectively control the number of accidents.
Article
Engineering, Industrial
Laura Mills, Verity Truelove
Summary: This study investigated the use of police location communities (PLCs) for obtaining information about roadside drug testing (RDT) among drivers, and found that drivers who used PLCs were more concerned about being caught for drug driving, had a better understanding of the related penalties and procedures, and knew others who also used PLCs to avoid detection for drug driving. Furthermore, the study found that the use of PLCs was associated with choosing back roads for driving, which may reduce the risk of detection for drug driving.
Review
Engineering, Industrial
Chao Wu, Xi Huang, Bing Wang
Summary: After decades of development, the safety discipline in China has made remarkable progress. The project led by the Safety & Security Theory Innovation and Promotion Center of Central South University has filled the gaps in safety science education by creating textbooks and courses for postgraduate students. These achievements have played an important role in the development of safety science and can serve as a reference for basic research and talent training in safety science globally.