Article
Ergonomics
Dario Babic, Tom Brijs
Summary: This study aimed to analyze how low-cost road marking measures affect driver behavior before and throughout dangerous horizontal curves on rural roads. The findings showed that these measures significantly reduced speed and prompted lateral movement of vehicles, potentially reducing specific types of curve-related accidents.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Ergonomics
Daniel A. Schlueter, Kim L. Austerschmidt, Philipp Schulz, Thomas Beblo, Martin Driessen, Stefan Kreisel, Max Toepper
Summary: In this on-road study, it was found that about 25% of older drivers overestimated their driving skills. Overestimators showed poorer on-road driving performances, a higher likelihood of prospective near and minor at-fault accidents, poorer cognitive performances in specific driving-related domains, and reduced annual mileage.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Ophthalmology
Jennifer Swingle Fogt, Thomas Kerwin, Cameron Wrabel, Casey Schomer, Nick Fogt
Summary: This study compared sign identification distances and driving performance metrics in presbyopic participants wearing multifocal contact lenses (MFCL) and progressive addition lens (PAL) spectacles, finding no significant differences between the two eyewear types in sign identification distances or driving performance metrics, with both meeting the distances required for safe vehicle stopping.
CONTACT LENS & ANTERIOR EYE
(2022)
Article
Ergonomics
Rune Elvik
Summary: Full implementation of the Safe System principles would greatly improve road safety. This paper aims to operationally define what it means to be fully consistent with these principles and estimate the potential impact on traffic fatalities. Proposed operational definitions for speed limits, road design, road maintenance, vehicle safety, and road user compliance demonstrate that by complying perfectly with the Safe System principles, the number of fatalities in Norway could be reduced by 50-70%. This conservative estimate validates the scientific justification for the Safe System principles, which are currently not fully realized in road safety policies in many countries.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Mathematics
Dusko Pesic, Dalibor Pesic, Aleksandar Trifunovic, Svetlana Cicevic
Summary: Speeding is a significant risk behavior for serious road accidents, especially among young drivers. Campaigns aimed at reducing speeding among young drivers have lesser effects compared to other campaigns. An experimental study found that young drivers were six times more likely to comply with speed limits when shown a campaign on a smartwatch compared to billboard campaigns.
Article
Behavioral Sciences
Hadas Marciano
Summary: This driving simulator study examined the impact of directions pavement markings (DPMs) on drivers' performance. The results indicated that DPMs, especially white markings, were beneficial in terms of prompting drivers to notice and move to the correct lane earlier. These findings highlight the importance of DPMs in improving traffic safety.
Article
Psychology, Applied
Yan Ge, Xinze Liu, Biying Shen, Weina Qu
Summary: This study investigated the difference in driving behaviors between drivers with high/low prosocial attitudes under high/low traffic density. Results showed that high traffic density led to more lane change and overtaking behaviors. Drivers with high prosocial attitudes performed better, while drivers with low prosocial attitudes maintained smaller transverse distances in high traffic density, potentially increasing risks.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2021)
Article
Computer Science, Information Systems
Fouzia Ferdous, A. B. M. Harun-ur Rashid
Summary: This paper proposes a method for designing a multicolor LED driver, using nonlinear optimization to control the LED currents for achieving the desired correlated color temperature (CCT). It also introduces a harmonic reduction technique to improve power quality. Experimental results demonstrate the effectiveness of the proposed method in CCT control and harmonic reduction.
Article
Ergonomics
Lynn B. Meuleners, Jonathon Q. Ng, Michelle L. Fraser, Dewi Tjia, Ying Ru Feng, Nigel Morlet
Summary: This study examined the impact of first and second eye cataract surgery on driving performance, showing a significant decrease in the rate of crashes/near crashes after both surgeries. Improved contrast sensitivity was associated with better driving outcomes. It highlights the importance of timely cataract surgery for older drivers and suggests using contrast sensitivity as a predictor for driving ability.
JOURNAL OF SAFETY RESEARCH
(2021)
Article
Ergonomics
Ashley Brooks-Russell, Tim Brown, Kyle Friedman, Julia Wrobel, John Schwarz, Gregory Dooley, Karen A. Ryall, Benjamin Steinhart, Elise Amioka, Gary Milavetz, George Sam Wang, Michael J. Kosnett
Summary: The study compared the impact of acute cannabis use on driving performance between occasional and daily users, finding that occasional users showed more significant driving impairment after smoking cannabis compared to non-users. However, daily users exhibited slower driving speeds after cannabis use compared to occasional users and non-users. The results do not conclusively establish that occasional users exhibit more driving impairment than daily users.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Engineering, Civil
Jiawei Xu, Seop Hyeong Park, Xiaoqin Zhang, Jie Hu
Summary: The computational modeling of human visual attention has been widely studied, showing the potential value of computational visual attention models in actual driving. Expert driver experiments suggest that a hybrid recommendation strategy is necessary for improving driving safety and comfort, rather than relying solely on one eye fixation location.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Federico Orsini, Lisa Zarantonello, Rodolfo Costa, Riccardo Rossi, Sara Montagnese
Summary: The transition to Daylight Saving Time (DST) in Spring results in circadian desynchrony and sleep deprivation, which have been associated with unfavorable outcomes including an increase in road traffic accidents. This study investigates the effects of DST on driving performance through a driving simulator experiment and shows a significant worsening of driving performance after the transition to DST, as measured by a comprehensive set of simulator-derived indices.
Article
Engineering, Biomedical
Jielin Chen, Xuefen Lin, Weifeng Ma, Yuchen Wang, Wei Tang
Summary: This study proposes a scheme for EEG acquisition and emotion classification in a simulated driving environment, using graph neural networks to simulate the brain's physiological structure. Through various experiments, high classification accuracy and F1 scores were obtained. The results indicate that the scheme can effectively simulate different dangerous situations during driving and monitor the driver's emotional state.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Ergonomics
Roja Ezzati Amini, Christelle Al Haddad, Debapreet Batabyal, Isidora Gkena, Bart De Vos, Ariane Cuenen, Tom Brijs, Constantinos Antoniou
Summary: Driving simulator studies are popular for investigating driving behavior and testing safety-critical events. This study explores the impact of distraction caused by mobile phone usage on driver behavior and performance, using a car driving simulator and eye-tracking glasses. The research findings suggest that distracted driving significantly changes drivers' gaze patterns and negatively affects driving performance.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Psychology, Applied
Silvia Faschina, Rolf-Dieter Stieglitz, Raphaela Muri, Peter Strohbeck-Kuehner, Marc Graf, Ralph Mager, Marlon O. Pflueger
Summary: This study confirmed the validity of the driving simulator in predicting driving behavior, with education and training time significantly influencing simulator performance. The results also suggested that simulation-related behavioral regulation faces additional cognitive demands compared to real road driving.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2021)
Article
Engineering, Manufacturing
Abdulbari Bener, Khair Jadaan, David Crundall, Alessandro Calvi
INTERNATIONAL JOURNAL OF CRASHWORTHINESS
(2020)
Review
Geochemistry & Geophysics
Salih Serkan Artagan, Luca Bianchini Ciampoli, Fabrizio D'Amico, Alessandro Calvi, Fabio Tosti
SURVEYS IN GEOPHYSICS
(2020)
Article
Engineering, Civil
Francesco Bella, Chiara Ferrante
Summary: This study analyzed drivers' behavior towards two different configurations of pedestrian crossings and confirmed the effectiveness of red and white zebra crossings in improving road safety. Results showed that drivers were more likely to yield to pedestrians at red and white zebra crossings compared to white zebra crossings, especially in critical driver-pedestrian interaction scenarios.
JOURNAL OF ADVANCED TRANSPORTATION
(2021)
Article
Transportation Science & Technology
Francesco Bella, Manuel Silvestri
Summary: The study showed that illegal crossings are the most critical. Both driver assistance systems had positive effects on average cautious drivers, but not on aggressive or very cautious drivers. Participants preferred the auditory warning, possibly due to the different physical stimuli it provided.
Article
Engineering, Civil
Dalin Zhang, Yi Xu, Yunjuan Peng, Yumei Zhang, Daohua Wu, Hongwei Wang, Jintao Liu, Sabah Mohammed, Alessandro Calvi
Summary: This study proposes a Multiattention Train Station Delay Graph Convolution Network (MATGCN) model to predict train delays at high-speed railway stations using train operation data. Experimental results demonstrate that this model outperforms other commonly used models in terms of prediction accuracy.
JOURNAL OF ADVANCED TRANSPORTATION
(2022)
Article
Engineering, Civil
Alessandro Calvi, Fabrizio D'Amico, Chiara Ferrante, Luca Bianchini Ciampoli
Summary: The study evaluated the effectiveness of augmented reality (AR) warnings in improving the safety of interactions between vehicles and cyclists, especially during overtaking maneuvers. It was found that AR systems helped drivers overtake cyclists more safely by encouraging longer distances and reducing the risk of collisions.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Engineering, Civil
Alessio Rinaldi, Cesar De Santos-Berbel, Francesco Bella, Maria Castro
Summary: This study calibrated the sag vertical curve design model on undivided highways using a reliability-based framework to achieve consistent safety levels. Monte Carlo simulation was utilized to calculate the probability of noncompliance, and contour graphs were depicted to evaluate the risk level associated with the design outputs.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2021)
Proceedings Paper
Engineering, Environmental
L. Menghini, F. Bella, G. Sansonetti, V Gagliardi
Summary: The research investigates the viability of an automatic methodology for detecting and classifying pavement distresses through Machine Learning models, specifically utilizing Deep Neural Networks algorithms. Experimental evaluations confirm that ML approaches and DNN algorithms can complement Non-Destructive Remote Sensing technologies to automatically locate pavement damages, enabling integrated approaches in smart infrastructure asset monitoring.
EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS XII
(2021)
Article
Engineering, Civil
S. Cafiso, A. Calvi, C. D. Agostino, M. Kiec, G. Petrucci, P. Szagala
Summary: This study aims to investigate the performance of different methods for conflict detection and classification, by observing traffic conflicts on 2+1 roads in Poland and comparing them with conflicts detected in simulated environments, in order to determine whether there is a correlation between them.
ARCHIVES OF CIVIL ENGINEERING
(2021)
Article
Environmental Sciences
Luca Bianchini Ciampoli, Valerio Gagliardi, Chiara Ferrante, Alessandro Calvi, Fabrizio D'Amico, Fabio Tosti
Article
Ergonomics
Alessandro Calvi, Fabrizio D'Amico, Chiara Ferrante, Luca Bianchini Ciampoli
ACCIDENT ANALYSIS AND PREVENTION
(2020)
Article
Public, Environmental & Occupational Health
Sergio Maria Patella, Simone Sportiello, Stefano Carrese, Francesco Bella, Francesco Asdrubali
Article
Psychology, Applied
Alessandro Calvi, Fabrizio D'Amico, Chiara Ferrante, Luca Bianchini Ciampoli
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2020)
Article
Engineering, Civil
A. Calvi, S. Gaca, T. Kaminski, M. Kiec, M. Kruszewski
Summary: The paper presents the procedure of implementing non-standard road signs and markings in Poland to enhance road safety and traffic performance. It was developed based on interdisciplinary research, including observation of driver behavior, crash analysis, surveys on sign understanding, and driving simulator experiments. The implementation procedure includes various tests such as questionnaire studies, eye tracking tests, and driving simulator tests to ensure effective implementation.
ARCHIVES OF CIVIL ENGINEERING
(2021)
Article
Psychology, Applied
Francesco Bella, Chiara Ferrante
Summary: The study found that drivers exhibited more critical yielding behavior and braking performance when approaching the bicycle crossroad on the two-lane configuration. The logistic regression model indicated that the cross-section variable had the strongest effect on drivers’ likelihood of yielding.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2021)
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)
