Editorial by Ralf Risser

“…It will lose interest, unless another pandemic will haunt us in the near future; then what we have learned this time will hopefully be useful. Concerning traffic safety, Bicaksiz et al. analyse the relationship between positive personality traits - the Light Triad framework represented by humanism, faith in humanity, and Kantianism - and a safe driving style. …”
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Transporte de crianças em ambulâncias terrestres: segurança e conhecimentos dos profissionais by Sílvia Faria, Lurdes Lomba, Maribel Carvalhais, Jorge Apóstolo

“…A análise das medidas de segurança usadas no transporte de crianças tem por base as recomendações da National Highway Traffic Safety Administration. Aplicado um questionário a 135 enfermeiros e bombeiros/tripulantes de ambulâncias portuguesas baseado em 4 possíveis situações de transporte e abrangendo 5 faixas etárias pediátricas. …”
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<i>ADABase</i>: A Multimodal Dataset for Cognitive Load Estimation by Maximilian P. Oppelt, Andreas Foltyn, Jessica Deuschel, Nadine R. Lang, Nina Holzer, Bjoern M. Eskofier, Seung Hee Yang

“…Our work focuses on the detection of cognitive load as a component of driver-state estimation to improve traffic safety. By inducing single and dual-task workloads of increasing intensity on 51 subjects, while continuously measuring signals from multiple modalities, based on <i>physiological</i> measurements such as ECG, EDA, EMG, PPG, respiration rate, skin temperature and eye tracker data, as well as <i>behavioral</i> measurements such as action units extracted from facial videos, <i>performance</i> metrics like reaction time and <i>subjective</i> feedback using questionnaires, we create <i>ADABase</i> (<b>A</b>utonomous <b>D</b>riving Cognitive Load <b>A</b>ssessment Data<b>base</b>) As a reference method to induce cognitive load onto subjects, we use the well-established <i>n</i>-back test, in addition to our novel simulator-based <i>k</i>-drive test, motivated by real-world semi-autonomously vehicles. …”
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Crash severity analysis and risk factors identification based on an alternate data source: a case study of developing country by Hanif Bhuiyan, Jinat Ara, Khan Md. Hasib, Md Imran Hossain Sourav, Faria Benta Karim, Cecilia Sik-Lanyi, Guido Governatori, Andry Rakotonirainy, Shamsunnahar Yasmin

“…This outcome may contribute to improving traffic safety of Bangladesh.…”
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A Secure Traffic Police Remote Sensing Approach via a Deep Learning-Based Low-Altitude Vehicle Speed Detector through UAVs in Smart Cites: Algorithm, Implementation and Evaluation by Ata Jahangir Moshayedi, Atanu Shuvam Roy, Alireza Taravet, Liefa Liao, Jianqing Wu, Mehdi Gheisari

“…To fill the gap, this paper introduces a novel low-altitude vehicle speed detector system using UAVs for remote sensing applications of smart cities, forging to increase traffic safety and security. To this aim, (1) we have found the best possible Raspberry PI’s field of view (FOV) camera in indoor and outdoor scenarios by changing its height and degree. …”
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Development and reliability testing of an audit toolbox for the assessment of the physical activity friendliness of urban and rural environments in Germany by Christina Müller, Christina Müller, Bruno Domokos, Bruno Domokos, Tanja Amersbach, Tanja Amersbach, Eva-Maria Hausmayer, Eva-Maria Hausmayer, Christin Roßmann, Birgit Wallmann-Sperlich, Jens Bucksch

“…We piloted the toolbox in different urban and rural areas (100 street segments, 15 parks, and 21 playgrounds) and calculated inter-rater reliability by Cohen's Kappa.ResultsThe audit toolbox comprises a basic streetscape audit with seven categories (land use and destinations, traffic safety, pedestrian infrastructure, cycling infrastructure, attractiveness, social environment, and subjective assessment), as well as supplementary tools for children and adolescents, seniors and people with impaired mobility, parks and public open spaces, playgrounds, and rural areas. 76 % of all included items had moderate, substantial, or almost perfect inter-rater reliability (κ &gt; 0.4).ConclusionsThe audit toolbox is an innovative and reliable instrument for the assessment of the physical activity friendliness of urban and rural environments in Germany.…”
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Security systems’ status with the use of technical means of video recording and video surveillance: international experience, perspectives for implementation in the activities of t... by V. A. Korshenko, V. V. Chumak, M. V. Mordvyntsev, D. V. Pashniev

“…Video surveillance centers, in particular within one of the most important areas of public safety – traffic safety – have the ability to recognize prohibited or atypical traffic, to capture the intersection of the restricted area or the intersection of the visual line, to respond to the passage of people in a given direction, to identify traffic conditions, to detect traffic density, congestion and mass congestion of vehicles, to respond to the appearance of people in the surveillance zone, etc. …”
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Determination of the Stability of a High and Steep Highway Slope in a Basalt Area Based on Iron Staining Anomalies by Lihui Qian, Shuying Zang, Haoran Man, Li Sun, Xiangwen Wu

“…Studying the stability of highway slopes in this type of area is of great significance for traffic safety. However, due to the high cost and low efficiency of traditional monitoring and experimental methods for slope engineering, these methods are not conducive to the quick and comprehensive identification of regional slope stability. …”
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A Novel Hybrid Life Cycle Assessment Approach to Air Emissions and Human Health Impacts of Liquefied Natural Gas Supply Chain by Hussein Al-Yafei, Murat Kucukvar, Ahmed AlNouss, Saleh Aseel, Nuri C. Onat

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Self-supervised multi-task learning framework for safety and health-oriented road environment surveillance based on connected vehicle visual perception by Shaocheng Jia, Wei Yao

“…In this paper, a bidirectional process of image synthesis and decomposition (BPISD) approach is proposed, and thus a novel self-supervised multi-task learning framework, to simultaneously estimate depth map, atmospheric visibility, airlight, and PM2.5 mass concentration, in which depth map and visibility are considered highly associated with traffic safety, while airlight and PM2.5 mass concentration are directly correlated with human health. …”
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Experimental Demonstration of a Visible Light Communications System Based on Binary Frequency-Shift Keying Modulation: A New Step toward Improved Noise Resilience by Cătălin Beguni, Adrian Done, Alin-Mihai Căilean, Sebastian-Andrei Avătămăniței, Eduard Zadobrischi

“…Therefore, VLC systems offer possible answers to various applications in outdoor conditions, such as in the road traffic safety domain, or even inside large buildings, such as in indoor positioning applications for blind people. …”
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An Urban Built Environment Analysis Approach for Street View Images Based on Graph Convolutional Neural Networks by Changmin Liu, Yang Wang, Weikang Li, Liufeng Tao, Sheng Hu, Mengqi Hao

“…Traditionally, research in the field of traffic safety has predominantly focused on two key areas—the identification of traffic black spots and the analysis of accident causation. …”
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Is a driver’s license age waiver worth a teen’s life? by Dawn M. Porter, Beverly K. Miller, Samantha H. Mullins, Mary E. Porter, Mary E. Aitken

“…National Highway Traffic Safety Administration data were utilized to identify seat belt use rates. …”
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Preparation and Properties of Composite Graphene/Carbon Fiber Pouring Conductive Asphalt Concrete by Zhenxia Li, Tengteng Guo, Yuanzhao Chen, Yibin Wang, Xiangjie Niu, Deqing Tang, Menghui Hao, Xu Zhao, Jinyuan Liu

“…To solve the problem of snow on steel bridge areas endangering traffic safety and low road traffic efficiency in winter, conductive gussasphait concrete (CGA) was prepared by mixing conductive phase materials (graphene and carbon fiber) into Gussasphalt (GA). …”
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Green Concrete for a Circular Economy: A Review on Sustainability, Durability, and Structural Properties by Abathar Al-Hamrani, Murat Kucukvar, Wael Alnahhal, Elsadig Mahdi, Nuri C. Onat

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A Fine-Grained Ship-Radiated Noise Recognition System Using Deep Hybrid Neural Networks with Multi-Scale Features by Shuai Liu, Xiaomei Fu, Hong Xu, Jiali Zhang, Anmin Zhang, Qingji Zhou, Hao Zhang

“…Fine-grained ship-radiated noise recognition methods of different specific ships are in demand for maritime traffic safety and general security. Due to the high background noise and complex transmission channels in the marine environment, the accurate identification of ship radiation noise becomes quite complicated. …”
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Injuries following motorcycle crashes at a level-1 trauma center in Riyadh by Suliman Alghnam, Hatim A. Alsulaim, Yasser Abdullah BinMuneif, Abdulmohsen Al-Zamil, Abdullah Alahmari, Abdullah Alshafi, Ahmad Alsaif, Ibrahim Albabtain

“…Therefore, we need to increase enforcement of safety measures during recreational use of motorcycles and to raise awareness about the dangers of motorcycle crashes to improve traffic safety and ultimately population health. LIMITATIONS: The study was conducted at a single hospital which may affect the generalizability of the data to the Saudi population. …”
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Advanced Driver Assistance Strategies for a Single-Vehicle Overtaking a Platoon on the Two-Lane Two-Way Road by Junjie Chen, Manoj Bhat, Shiyan Jiang, Ding Zhao

“…Recently, the ever-increasing vehicle population has become a severe challenge to traffic safety, especially the problem of a single-vehicle overtaking a platoon on the Two-Lane Two-Way (TLTW) road. …”
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Analyzing the relationship between the efficiency and safety of a turbo roundabout by the factor analysis method by Qinghua He, Yuanying Meng, Wang Tan, Xin Tian, Shangru Liu, Hang Yang, Yang Shao, Binghong Pan

“…Finally, the factor analysis method (FAM) is used to classify the six indicators into two categories: traffic efficiency and traffic safety, so as to comprehensively evaluate the different schemes. …”
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Battery-Powered RSU Running Time Monitoring and Prediction Using ML Model Based on Received Signal Strength and Data Transmission Frequency in V2I Applications by Vienna N. Katambire, Richard Musabe, Alfred Uwitonze, Didacienne Mukanyiligira

“…The application of the Internet of Things (IoT), vehicles to infrastructure (V2I) communication and intelligent roadside units (RSU) are promising paradigms to improve road traffic safety. However, for the RSUs to communicate with the vehicles and transmit the data to the remote location, RSUs require enough power and good network quality. …”
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