Comparative Analysis of Machine-Learning Models for Recognizing Lane-Change Intention Using Vehicle Trajectory Data by Renteng Yuan, Shengxuan Ding, Chenzhu Wang

“…Accurate detection and prediction of the lane-change (LC) processes can help autonomous vehicles better understand their surrounding environment, recognize potential safety hazards, and improve traffic safety. This study focuses on the LC process, using vehicle trajectory data to select a model for identifying vehicle LC intentions. …”
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Hotspot analysis of single-vehicle lane departure crashes in North Dakota by Ihsan Ullah Khan, Kimberly Vachal, Sajad Ebrahimi, Satpal Singh Wadhwa

“…Although limited to a narrow crash type in one state, this approach can inform other jurisdictions seeking to empirically visualize hotspots and more effectively deploy traffic safety strategies.…”
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Towards Intelligent Data Analytics: A Case Study in Driver Cognitive Load Classification by Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum

“…One debatable issue in traffic safety research is that the cognitive load by secondary tasks reduces primary task performance, i.e., driving. …”
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Enhancing the Reliability of Communication between Vehicle and Everything (V2X) Based on Deep Learning for Providing Efficient Road Traffic Information by Radwa Ahmed Osman, Sherine Nagy Saleh, Yasmine N. M. Saleh, Mazen Nabil Elagamy

“…The obtained results show the ability of the proposed model to enhance the connectivity between V2X for improving road traffic information efficiency and increasing road traffic safety.…”
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Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data by Sarang Jokhio, Pierluigi Olleja, Jonas Bärgman, Fei Yan, Martin Baumann

“…The study concludes that understanding the factors affecting turn signal usage is crucial for improving traffic safety in current and future mixed traffic with autonomous vehicles. …”
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Backscattering Echo Intensity Characteristics of Laser in Soil Explosion Dust by Lijuan Gao, Fue-Sang Lien, Huimin Chen, Guang Chen, Shangxian Yang, Jiahao Deng

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The influence of the built environment on active school travel in the Netherlands: A mode choice analysis by Francisco E. Macedo, Kevin M.C. Raaphorst, Kirsten E. Bevelander, Erwin van der Krabben

“…Findings about the design of environments around homes and schools suggest that variations in personal characteristics, temperature, destination proximity, traffic safety conditions, and urban form can influence AST. …”
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Autonomous Driving Assistance with Dynamic Objects Using Traffic Surveillance Cameras by Kuk Cho, Dooyong Cho

“…Traffic surveillance cameras that pursue traffic safety and convenience use various sensors to generate traffic information. …”
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Ship Target Identification via Bayesian-Transformer Neural Network by Zhan Kong, Yaqi Cui, Wei Xiong, Fucheng Yang, Zhenyu Xiong, Pingliang Xu

“…The aim of the research is improving the ability of ship target identification to enhance the maritime situation awareness and strengthen the protection of maritime traffic safety. Firstly, a Bayesian-Transformer Encoder (BTE) module that contains four different Bayesian-Transformer Encoders is used to extract discriminate features of tracks. …”
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RegioRail—GNSS Train-Positioning System for Automatic Indications of Crisis Traffic Situations on Regional Rail Lines by Jan Fikejz, Antonín Kavička

“…This type of line is very often not sufficiently equipped with standard signaling and interlocking equipment to ensure the necessary traffic safety. Therefore, when deploying this support, the new algorithms for the automatic detection of critical traffic situations represent a significant potential contribution to increasing operational safety.…”
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Dynamic Model of Polished Stone Value Attenuation in Coarse Aggregate by Jingyi Liu, Bowen Guan, Huaxin Chen, Kaiping Liu, Rui Xiong, Chao Xie

“…The polished stone value (PSV) of coarse aggregate is closely related to pavement skid resistance and traffic safety. However, the determination of the PSV of coarse aggregate is conventionally a time- and energy-intensive process. …”
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Evaluation of transport system configuration by efficiency indicators by Vasyl Mateichyk, Miroslaw Śmieszek, Nataliia Kostian

“…The key indicators of the system's efficiency are determined, namely, the energy efficiency indicator of the vehicle as a system element, the environmental indicator and the traffic safety indicator. Based on the results of the experimental study, a neural network structure is proposed for evaluating the energy efficiency of given configurations of the transport system. …”
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China’s Road Traffic Mortality Rate and Its Empirical Research from Socio-Economic Factors Based on the Tobit Model by Liangen Zeng, Haitao Li, Xin Lao, Haoyu Hu, Yonggui Wei, Chengming Li, Xinyue Yuan, Dongxu Guo, Kexin Liu

“…This study provides macro policy support for improving traffic safety in China.…”
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Calibration of safety performance function for crashes on inter-city four lane highways in India by Naveen Kumar ChikkaKrishna, Manoranjan Parida, Sukhvir Singh Jain

“…Model results suggest that increase in traffic volume leads to higher probability of crash risk and traffic safety is significantly distorted by higher curvature change rate values.…”
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Walking as soft mobility: A multi-criteria GIS-based approach for prioritizing tourist routes by Ghazal Hassanshahi, Ali Soltani, Maryam Roosta, Sajad Askari

“…The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) then prioritizes street segments based on sub-criteria such as traffic safety, image ability and heritage assets, security, land use and activity, accessibility, comfort and convenience, and human scale. …”
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Generalized Software Structure of the V2X Communication Platform as Part of the Onboard Information and Analytical System by Egor A. Holod, Nikolay V. Karpuk, Vladimir A. Dubovsky, Michael V. Isaevich

“…Increasing the level of vehicle automation improves traffic safety and efficiency. For this purpose, a set of algorithms based on artificial intelligence, specialized devices and sensors for navigation and assessment of the road situation are used. …”
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Mining Road Traffic Rules with Signal Temporal Logic and Grammar-Based Genetic Programming by Federico Pigozzi, Eric Medvet, Laura Nenzi

“…Being able to mine interpretable specifications from this kind of data may improve traffic safety, because mined specifications may be helpful for monitoring traffic and planning safety promotion strategies.…”
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On-Board Unit (OBU)-Supported Longitudinal Driving Behavior Monitoring Using Machine Learning Approaches by Leyu Wei, Lichan Liang, Tian Lei, Xiaohong Yin, Yanyan Wang, Mingyu Gao, Yunpeng Liu

“…The outcome of the present work could contribute to the fields of traffic management and traffic safety, providing important support for the realization of intelligent transport systems and the improvement of driving safety.…”
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Validation of an Assistance System for Merging Maneuvers in Highways in Real Driving Conditions by S. Sanchez-Mateo, E. Perez-Moreno, F. Jimenez, F. Serradilla, A. Cruz Ruiz, S. de la Fuente Tamayo

“…In the latest study conducted by the National Highway Traffic Safety Administration in 2018, it was published that human error is still considered the major factor in traffic accidents, 94 %, compared with other causes such as vehicles, environment and unknown critical reasons. …”
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Driver Abnormal Expression Detection Method Based on Improved Lightweight YOLOv5 by Keming Yao, Zhongzhou Wang, Fuao Guo, Feng Li

“…The rapid advancement of intelligent assisted driving technology has significantly enhanced transportation convenience in society and contributed to the mitigation of traffic safety hazards. Addressing the potential for drivers to experience abnormal physical conditions during the driving process, an enhanced lightweight network model based on YOLOv5 for detecting abnormal facial expressions of drivers is proposed in this paper. …”
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