Driving Stress Partial Model Considering Time Domain Applying for Two Wheelers Drivers: A Case of Primary Arterial Roads by Mona Meilinda Iqra, Sugiarto Sugiarto, Saleh Sofyan M., Achmad Ashfa, Abubakar Azzaki

“…The physiological response of motorcyclists, which is substantially correlated with driving stress, can be utilised to assess traffic safety. Heart rate and respiratory rate can be used to measure driver tension using the heart rate variability method. …”
Get full text

Risk Assessment of Fixed Obstacles along Roads by Karel Kocián, Jakub Nováček

“…The results of this research, which applies a unified approach to the risk analysis of fixed obstacles, will systematically improve the level of traffic safety. This primarily means preventing accidents with fixed obstacles, saving lives and reducing economic losses.…”
Get full text

Safety and Mobility Evaluation of Cumulative-Anticipative Car-Following Model for Connected Autonomous Vehicles by Hafiz Usman Ahmed, Salman Ahmad, Xinyi Yang, Pan Lu, Ying Huang

“…The advancement of autonomous vehicle technology will significantly impact traffic safety, potentially saving more than 30,000 lives annually in the United States alone. …”
Get full text

Effects of mobile phone-related distraction on driving performance at roundabouts: Eye movements tracking perspective by Wafa Boulagouas, Ortega Carlos Alberto Catalina, Miguel Angel Mariscal, Sixto Herrera, Susana García-Herrero

“…The outcomes of the present study might help to improve traffic safety at roundabouts.…”
Get full text

Approbation of the model for evaluation of drivers prone to risky driving (Estonian and Russian samples) by Meinhard G., Kaart T., Kochetova T.V.

“…This questionnaire was developed at NPO Estonian Traffic Behaviour Development Centre, basing on PhD thesis “Evaluation of the effectiveness of a primary preventive program “Clear Picture…!?” to increase traffic safety” by G. Meinhard. Translation of the questions into Russian was performed for Russian-speaking Estonian citizens. …”
Get full text

Real-Time Prewarning Method of Subway Turnout Jamming Failure Based on Short-Term Load Prediction and Ensemble LVQ Learning by Hao Wen, Jie Xiao, Guangxiang Xie

“…Frequent movements and environmental changes often lead to abnormal increases in resistance during turnout conversion, resulting in jamming failures that directly affect traffic safety and efficiency. In order to effectively foresee the risk of failure during operation and minimize the adverse effects of failure, a real-time turnout jamming failure prewarning method is proposed. …”
Get full text

Innovative Framework for Distracted-Driving Alert System Based on Deep Learning by Peng-Wei Lin, Chih-Ming Hsu

“…To address this issue, distracted-driving recognition is an important area of traffic safety research. However, distracted behavior may be a part of a driver’s regular tasks. …”
Get full text

CCW-YOLO: A Modified YOLOv5s Network for Pedestrian Detection in Complex Traffic Scenes by Zhaodi Wang, Shuqiang Yang, Huafeng Qin, Yike Liu, Jinyan Ding

“…These findings have important practical implications for ensuring traffic safety and optimizing traffic flow.…”
Get full text

Study on the Influence of Rural Highway Landscape Green Vision Rate on Driving Load Based on Factor Analysis by Hao Li, Jiabao Yang, Heng Jiang

“…The research results can provide theoretical support for the design of rural highway landscape green vision rate and help to promote the theoretical research of traffic safety.…”
Get full text

Intelligent speed adaptation: Preliminary results of on-road study in Penang, Malaysia by S.M.R. Ghadiri, J. Prasetijo, A.F. Sadullah, M. Hoseinpour, S. Sahranavard

“…The present study aimed to evaluate the effects of an advisory ISA on driving speed, traffic safety, and drivers' attitude, behavior, and acceptance of the system. …”
Get full text

Traffic fatalities prediction using support vector machine with hybrid particle swarm optimization by Xiaoning Gu, Ting Li, Yonghui Wang, Liu Zhang, Yitian Wang, Jinbao Yao

“…Road traffic safety is essential, therefore in order to predict traffic fatalities effectively and promote the harmonious development of transportation, a traffic fatalities prediction model based on support vector machine is established in this paper. …”
Get full text

Bifurcation of Lane Change and Control on Highway for Tractor-Semitrailer under Rainy Weather by Tao Peng, Zhiwei Guan, Ronghui Zhang, Jinsong Dong, Kening Li, Hongguo Xu

“…It is a valuable reference for safety design of tractor-semitrailers to improve the traffic safety with driver-vehicle-road closed-loop system.…”
Get full text

A Deep Learning Model for Ship Trajectory Prediction Using Automatic Identification System (AIS) Data by Xinyu Wang, Yingjie Xiao

“…Accurate ship trajectory prediction can improve the efficiency of navigation and maritime traffic safety. Previous studies have focused on developing a ship trajectory prediction model using a deep learning approach, such as a long short-term memory (LSTM) network. …”
Get full text

How to get best predictions for road monitoring using machine learning techniques by Imen Ferjani, Suleiman Ali Alsaif

“…Road condition monitoring is essential for improving traffic safety and reducing accidents. Machine learning methods have recently gained prominence in the practically important task of controlling road surface quality. …”
Get full text

Robust Beamforming Design for Secure V2X Downlink System with Wireless Information and Power Transfer under a Nonlinear Energy Harvesting Model by Shidang Li, Chunguo Li, Weiqiang Tan, Baofeng Ji, Luxi Yang

“…Vehicle to everything (V2X) has been deemed a promising technology due to its potential to achieve traffic safety and efficiency. This paper considers a V2X downlink system with a simultaneous wireless information and power transfer (SWIPT) system where the base station not only conveys data and energy to two types of wireless vehicular receivers, such as one hybrid power-splitting vehicular receiver, and multiple energy vehicular receivers, but also prevents information from being intercepted by the potential eavesdroppers (idle energy vehicular receivers). …”
Get full text

Detection and Identification of Expansion Joint Gap of Road Bridges by Machine Learning Using Line-Scan Camera Images by In Bae Kim, Jun Sang Cho, Goang Seup Zi, Beom Seok Cho, Seon Min Lee, Hyoung Uk Kim

“…In particular, with the increase in the number of days during the summer heatwave, the narrowing of the expansion joint gap causes symptoms such as expansion joint damage and pavement blow-up, which threaten traffic safety and structural safety. Therefore, in this study, we developed a machine vision (M/V)-technique-based inspection system that can monitor the expansion joint gap through image analysis while driving at high speed (100 km/h), replacing the current manual method that uses an inspector to inspect the expansion joint gap. …”
Get full text

Evaluating road work site safety management: A case study of the Amman bus rapid transit project construction by Lina Shbeeb

“…The study highlights the importance of standardized safety protocols, particularly in areas like general traffic safety and maintenance. Using Exploratory Factor Analysis (EFA), the research identifies nine factors that shed light on safety perceptions. …”
Get full text

3D GIS BASED EVALUATION OF THE AVAILABLE SIGHT DISTANCE TO ASSESS SAFETY OF URBAN ROADS by M. Bassani, N. Grasso, M. Piras

“…The available sight distance (ASD) in front of the driver to detect possible conflicts with unexpected obstacles is fundamental for traffic safety. In the last 20 years, road design software (RDS) has been continuously updated with dedicated modules to estimate ASD, thus assessing the quality of project from a safety point of view. …”
Get full text

A Strain-Based Method to Detect Tires’ Loss of Grip and Estimate Lateral Friction Coefficient from Experimental Data by Fuzzy Logic for Intelligent Tire Development by Jorge Yunta, Daniel Garcia-Pozuelo, Vicente Diaz, Oluremi Olatunbosun

“…Tires are a key sub-system of vehicles that have a big responsibility for comfort, fuel consumption and traffic safety. However, current tires are just passive rubber elements which do not contribute actively to improve the driving experience or vehicle safety. …”
Get full text

Remote Photoplethysmography and Motion Tracking Convolutional Neural Network with Bidirectional Long Short-Term Memory: Non-Invasive Fatigue Detection Method Based on Multi-Modal F... by Lingjian Kong, Kai Xie, Kaixuan Niu, Jianbiao He, Wei Zhang

“…In comparison with traditional methods, our approach demonstrates higher accuracy and positively contributes to maintaining traffic safety, thereby advancing the field of smart transportation.…”
Get full text