Article
Clinical Neurology
Leona Moeller, Guenter Kramer, Lena Habermehl, Katja Menzler, Susanne Knake
Summary: There are differences in driving restrictions for patients with epilepsies and seizures across Europe. It is important to have knowledge about these regulations for counseling patients and physicians. An online survey was conducted to gather information on the local driving restrictions for these patients in different European countries.
SEIZURE-EUROPEAN JOURNAL OF EPILEPSY
(2023)
Article
Environmental Studies
Yifei Quan, Lunyu Xie
Summary: In the context of Beijing's license plate lottery policy, this study examines the impact of long waiting times before winning the lottery on the commuting mode choices of participants. It finds that winners are less likely to switch to driving after waiting for an average of 26 months. This behavioral change has led to a reduction in vehicle mileage and carbon dioxide emissions, resulting in improved social welfare. These findings emphasize the importance of assessing and designing transportation policies comprehensively.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Review
Transportation
Erick Guerra, Andrew Sandweiss, Seunglee David Park
Summary: License-plate-based driving restrictions are popular in Chinese cities, but their effectiveness in reducing local pollution or congestion is debated. Households respond to these restrictions with various strategies, including the possibility of purchasing a second car with a different final license-plate digit.
Article
Behavioral Sciences
Zhiyun Zhang, Jinxing Zhang, Yanlu Fu, Yina Cao, Shuang Wang, Jiajia Fang
Summary: The purpose of this study was to evaluate the driving status of patients with epilepsy (PWE) and investigate their awareness and perceptions of epilepsy driving restrictions. The results showed that 41.6% of PWE and 26.0% of general drivers in China were aware of the legal driving restrictions for PWE. Male gender, age, and the number of antiseizure medications taken were independently associated with illegally driving with epilepsy. There are varying opinions on the current driving laws regarding PWE, and detailed national standards for medical fitness for driving are urgently required in China.
EPILEPSY & BEHAVIOR
(2023)
Article
Economics
Luis F. Macea, Luis Marquez, Jose J. Soto
Summary: The number of private car trips a person makes is influenced by external factors such as economic incentives, legislation, infrastructure, and the quality of transport systems. However, internal factors like attitudes and perceptions also play a significant role. Understanding the affective and symbolic aspects of private car driving is important for formulating appropriate transport policies and strategies.
Article
Economics
Ling Li, Linchuan Yang
Summary: Many cities in developing countries implement driving restrictions to address transportation problems, but the effectiveness varies. Using Chengdu as a case study, this research finds that driving restrictions can significantly reduce air pollution and increase demand for housing near public transportation.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Chemistry, Analytical
Kristian Culik, Alica Kalasova, Vladimira Stefancova
Summary: This article evaluates drivers' reaction times in a driving simulator environment and investigates the impact of gender, driving experience, and alcohol on reaction time through mathematical-statistical analysis.
Article
Multidisciplinary Sciences
Anna W. T. Cai, Jessica E. Manousakis, Bikram Singh, Jonny Kuo, Katherine J. Jeppe, Elly Francis-Pester, Brook Shiferaw, Caroline J. Beatty, Shantha M. W. Rajaratnam, Michael G. Lenne, Mark E. Howard, Clare Anderson
Summary: The study found that sleep loss affects driving performance, with young drivers showing significantly increased lane departures and near-crash risk after sleep loss, while older drivers showed a slight decrease. This highlights that younger drivers are more susceptible to the effects of sleep loss and should be given special attention.
SCIENTIFIC REPORTS
(2021)
Article
Green & Sustainable Science & Technology
Qiuhong Wang, Haolin Chen, Jianguo Gong, Xiaohua Zhao, Zhenlong Li
Summary: This study analyzes the change in drivers' perception level and its influence on takeover performance in autonomous driving. It finds that after a takeover request, the driver's gaze duration is shortened and pupil area is enlarged, which helps in quicker extraction and understanding of road information. Male drivers have higher perception levels and prioritize leisure tasks. Age is found to decrease drivers' perception level. Shorter gaze duration and larger pupil area lead to shorter takeover response time. Drivers' perception level has a positive effect on takeover performance.
Article
Biochemistry & Molecular Biology
Arleta Drozd, Dariusz Kotlega, Krzysztof Dmytrow, Malgorzata Szczuko
Summary: The main aim of this study was to investigate the impact of cigarette smoking on selected derivatives of arachidonic acid, linoleic acid, DHA, and EPA, which may serve as markers for post-stroke inflammation. The eicosanoid profile was compared between smokers and non-smokers, both with and without gender division. The results revealed that non-smokers had higher levels of the linolenic acid derivative (LA) 9S HODE than smokers. However, when the results were further divided by gender, it was found that non-smoking women had higher levels of this derivative compared to smoking women, while no difference was observed in the group of men. Similarly, the level of the arachidonic acid metabolite LTX A4 differed only in the group of women. Moreover, a number of statistically significant correlations were identified between the analyzed groups, with smokers showing fewer correlations compared to non-smokers. This study highlights the importance of smoking cessation in reducing inflammation mediated by lipid mediators in both genders.
Article
Engineering, Civil
Tie-Qiao Tang, Yong Gui, Jian Zhang
Summary: This paper proposes a car-following model based on automating entropy adjustment for level 3 autonomous driving, trains the model through reinforcement learning, and validates its advantages in safe, efficient, and comfortable driving.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Clinical Neurology
Anna Poggesi, Greta Insalata, Gioele Papi, Valentina Rinnoci, Ida Donnini, Monica Martini, Catuscia Falsini, Bahia Hakiki, Annamaria Romoli, Carmen Barbato, Paola Polcaro, Francesca Casamorata, Claudio Macchi, Francesca Cecchi, Emilia Salvadori
Summary: Gender differences in functional recovery after stroke at discharge from an intensive rehabilitation hospital were not significant, with women showing better recovery potential at higher ages.
EUROPEAN JOURNAL OF NEUROLOGY
(2021)
Article
Psychology, Applied
Hyunseo Han, Songhui Kim, Jihun Choi, Hasun Park, Ji Hyun Yang, Jonghyuk Kim
Summary: This study conducted experiments using a driving simulator to determine practical values for reaction times, finding that most participants avoid collisions by braking first in hazardous situations. The 85th percentile of Driver Reaction Time from Perception (DRTP) was calculated to be in the range of 0.550 - 0.800 s, with variations for different hazardous situations.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2021)
Article
Computer Science, Information Systems
Chung-Hong Lee, Hsin-Chang Yang
Summary: The driving behaviors of electric vehicle and hybrid electric vehicle drivers have received attention in the literature. Image recognition combined with GPS and driving data is a popular approach to improving driver safety. However, this method generates sensitive personal information, risking driver's privacy. To address this, a privacy-preserving approach is necessary. In this work, deep learning models like LSTM and GRUs are proposed to classify and predict driving behavior accurately while protecting privacy.
Article
Ergonomics
Wenxiang Xu, Junhua Wang, Ting Fu, Hongren Gong, Anae Sobhani
Summary: This study proposes a prediction method for aggressive driving behavior that combines HMM and LSTM networks. By extracting driver's intention and applying attention mechanism, it can predict aggressive driving behavior in time series.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Clinical Neurology
Christer Ahlstrom, Anna Anund, Carina Fors, Torbjorn Akerstedt
JOURNAL OF SLEEP RESEARCH
(2018)
Article
Public, Environmental & Occupational Health
Fabio Forcolin, Ruben Buendia, Stefan Candefjord, Johan Karlsson, Bengt Arne Sjoqvist, Anna Anund
TRAFFIC INJURY PREVENTION
(2018)
Article
Public, Environmental & Occupational Health
Ruben Buendia, Fabio Forcolin, Johan Karlsson, Bengt Arne Sjoqvist, Anna Anund, Stefan Candefjord
TRAFFIC INJURY PREVENTION
(2019)
Article
Multidisciplinary Sciences
Brett P. Hughes, Torbjorn Falkmer, Anna Anund, Melissa H. Black
Article
Engineering, Electrical & Electronic
Frederik Diederichs, Alessia Knauss, Marc Wilbrink, Yannis Lilis, Evangelia Chrysochoou, Anna Anund, Evangelos Bekiaris, Stella Nikolaou, Svitlana Finer, Luca Zanovello, Pantelis Maroudis, Stas Krupenia, Andreas Abser, Nikos Dimokas, Camilla Apoy, Johan Karlsson, Annika Larsson, Emmanouil Zidianakis, Alexander Efa, Harald Widlroither, Mengnuo Dai, Daniel Teichmann, Hamid Sanatnama, Andreas Wendemuth, Sven Bischoff
IET INTELLIGENT TRANSPORT SYSTEMS
(2020)
Article
Public, Environmental & Occupational Health
Asa Forsman, Anna Anund, Marie Skyving, Ashleigh J. Filtness
Summary: This study aimed to understand the relationship between common diseases related to excessive daytime sleepiness (EDS) and traffic crashes. It found that drivers with Parkinson's or epilepsy were more likely to be involved in single-vehicle crashes, while drivers with other sleep disorders and Parkinson's/epilepsy were more likely to sustain moderate/severe injuries in multiple-vehicle crashes.
TRAFFIC INJURY PREVENTION
(2021)
Article
Engineering, Civil
Bram Bakker, Bartosz Zablocki, Angela Baker, Vanessa Riethmeister, Bernd Marx, Girish Iyer, Anna Anund, Christer Ahlstrom
Summary: A two-stage model for video-based driver sleepiness detection achieved a sensitivity of 91.7%, specificity of 92.3%, and F1 score of 90.4%. In comparison, the accuracy of the method without personalisation was only 72%.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Christer Ahlstrom, Wessel van Leeuwen, Stas Krupenia, Herman Jansson, Svitlana Finer, Anna Anund, Goran Kecklund
Summary: This paper discusses the possibility of successful rest during automated driving and presents an algorithm aimed at estimating potential driving time after resting. The algorithm includes components such as relaxation detection, sleep detection, fatigue modeling, and driving time estimation. Real-time assessment of driver fitness is complex and depends on factors such as sleep quality and time of day.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Ergonomics
Christer Ahlstrom, Raimondas Zemblys, Herman Jansson, Christian Forsberg, Johan Karlsson, Anna Anund
Summary: The study found that night-time driving led to significantly increased levels of sleepiness, while partially automated driving may slightly increase subjective sleepiness levels, but has little to no detrimental effects on driver fatigue during daytime when the drivers are alert. Increased levels of sleepiness mainly arise from night-time driving when sleep pressure is high.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Psychology, Applied
Karl A. Miller, Ashleigh J. Filtness, Anna Anund, Sally E. Maynard, Fran Pilkington-Cheney
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2020)
Article
Ergonomics
Christer Ahlstrom, Maria Gink Lovgren, Mats Nilsson, Tania Dukic Willstrand, Anna Anund
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2019)
Article
Transportation
Erik Johansson, Anna Anund, Till Koglin
CASE STUDIES ON TRANSPORT POLICY
(2019)
Article
Ergonomics
Anna Anund, Carina Fors, Jonas Ihlstrom, Goran Kecklund
ACCIDENT ANALYSIS AND PREVENTION
(2018)
Article
Ergonomics
Christer Ahlstrom, Anna Anund, Carina Fors, Torbjorn Akerstedt
ACCIDENT ANALYSIS AND PREVENTION
(2018)
Article
Transportation
Carina Fors, Christer Ahlstrom, Anna Anund
JOURNAL OF TRANSPORTATION SAFETY & SECURITY
(2018)
Article
Public, Environmental & Occupational Health
Abdallah Kinero, Kabhabhela Bukuru, Enock E. Mwambeleko, Thobias Sando, Priyanka Alluri
Summary: This study examines the injury severity of golf cart (GC) crashes in a retirement community in Florida. The findings highlight the factors that influence GC crash severity and provide recommendations for improving GC safety.
TRAFFIC INJURY PREVENTION
(2024)
Article
Public, Environmental & Occupational Health
Tianzheng Wei, Tong Zhu, Miao Lin, Haoxue Liu
Summary: This study utilizes machine learning methods to model and analyze the severity of accident injuries in two-wheeled motorcyclists. The results show that the LightGBM algorithm has good prediction performance. The driver's annual kilometers traveled, the throwing distance of the motorcyclist, and the road speed limit are the three most important factors influencing the severity of accident injuries.
TRAFFIC INJURY PREVENTION
(2024)
Article
Public, Environmental & Occupational Health
John Mccombs, Haitham Al-Deek, Adrian Sandt
Summary: This study developed corridor-level network screening models to reduce fatal and injury crashes by identifying high-risk corridors for safety improvements. The corridor-level models were more accurate and statistically reliable than similar HSM models while requiring less data. Agencies can easily replicate the methods using readily available data to identify corridors in need of safety improvements.
TRAFFIC INJURY PREVENTION
(2024)
Article
Public, Environmental & Occupational Health
N. Mohamed Hasain, Mokaddes Ali Ahmed
Summary: The study aimed to evaluate the safety of heterogeneous traffic by identifying critical conflicts based on the speeds of the involved vehicles. The proposed Critical Following Speed method was validated using accident data and showed a correlation between critical conflicts and road accidents. The study highlighted the importance of considering vehicle speed in assessing traffic safety in mixed traffic conditions.
TRAFFIC INJURY PREVENTION
(2024)
