ANALYSIS OF SOME APPROACHES IN CURRENT PRACTICE OF TRANSPORT MODELLING by E. S. Temnov

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Fuel-Efficient Road Classification Methodology for Sustainable Open Pit Mining by Boyu Luan, Wei Zhou, Zhogchen Ao, Zhihui Han, Yufeng Xiao

“…The K-means clustering algorithm is employed to classify road quality into “good”, “moderate”, and “poor” categories, with the Haerwusu Open-pit Coal Mine serving as a case study. …”
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Estimation Approach of Road Friction Coefficient Based on Nonlinear Observer by DING Xiying, PEI Yanliang, ZHANG Hongyue, YU Hua

“…In this paper, an algorithm for estimating road friction coefficient based on nonlinear observer is proposed. …”
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Location Design of Electrification Road in Transportation Networks for On-Way Charging by Yue Qiu, Yuchuan Du, Shanchuan Yu, Shengchuan Jiang

“…To describe the drivers’ routing choice, a path-constrained network equilibrium model is proposed to minimize their travel time and prevent running out of charge. We develop a modified active set algorithm to solve the MPEC model. …”
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Cycling Injury Risk in London: Impacts of Road Characteristics and Infrastructure by Thomas Adams, Rachel Aldred

“…It controlled for exposure by using a case-crossover method alongside an algorithm developed by Transport for London to predict cyclist routes. …”
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Selecting the Strategic Port of “the Belt and Road” Based on the Global Network by Zihui Yang, Qingchun Meng, Chanjuan Li

“…Under “the Belt and Road” initiative, China promoted cooperation between domestic enterprises and international ports vigorously, which brought back fruitful results, while the rational selection of strategic pivots ports and the optimization of the layout of the port network are important guarantees to a further promotion to the economic development of “the Belt and Road” ports and give full play to the driving and radiation role of strategic pivots ports. …”
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Road of Large Language Model: Source, Challenge, and Future Perspectives by Wei Zhao, Xin Yang, Zhihan Lyu, Cai Xu, Ziyu Guan

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Driving Cycle for Passenger Cars on Urban Roads in Pristina, Kosovo by Flamur Salihu, Yusuf Kağan Demir

“…Thus, the first objective of this study was to represent the proper driver behaviour of passenger cars in Pristina by obtaining a driving cycle from real-time measurements on the road. The driving cycle was developed by extracting the micro-trips from 53 491 s of data using a “3-sequential points” algorithm, where 780 micro-trips were detected. …”
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Vehicle spatial and time trajectory filling based on dynamic road network by Ruojian Li, Hongsheng Qi

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Analysis for models of interaction between road passenger transport operators by I. I. Lyubimov, N. N. Yakunin, N. V. Yakunina

“…Further direction of research on this topic will be carried out in the direction of developing a methodology for switching models between themselves, i.e. when and how it is expedient to apply one or another model of passenger road transportation.…”
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Road Damage Detection Using Yolov9-Based Imagery by Febrian Akbar Azhari, Tatang Rohana, Kiki Ahmad Baihaqi, Ahmad Fauzi

“…This study aims to develop an effective method for detecting road damage, utilizing the YOLOv9 algorithm as a key component, such as cracks and potholes, using the Convolutional Neural Network (CNN) approach. …”
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Road Detection, Monitoring, and Maintenance Using Remotely Sensed Data by Nicholas Fiorentini, Massimo Losa

“…The ten papers published in this issue explore diverse methodologies, including novel deep learning algorithms for road inventory, novel methods for pavement crack detection, AI-enhanced ground-penetrating radar (GPR) imaging for subsurface assessment, high-resolution optical satellite imagery for unpaved road assessment, and aerial orthophotography for road mapping. …”
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Examining Car Accident Prediction Techniques and Road Traffic Congestion: A Comparative Analysis of Road Safety and Prevention of World Challenges in Low-Income and High-Income Cou... by Yetay Berhanu, Esayas Alemayehu, Dietrich Schröder

“…Therefore, it is crucial to consider ML and spatial analysis techniques and advanced optimization algorithms to enhance traffic flow control, in road safety research and transport planning efforts.…”
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INFORMATION TECHNOLOGY FOR RECOGNITION OF ROAD SIGNS USING A NEURAL NETWORK by Elena Yashina, Roman Artiukh, Nikolai Рan, Andrei Zelensky

“…The main result is the creation of information technology for the automated recognition of road signs. The algorithm of its work is presented in the form of a sequence diagram. …”
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Infrastructural review of the distributed telecommunication system of road traffic and its protocols by Nikolay N. Kaligin, Saygid U. Uvaysov, Aida S. Uvaysova, Svetlana S. Uvaysova

“…One of the principles was developed, according to which the system can determine the optimal use of the vehicle resource and the aggressiveness of the driving style of a freight vehicle on the basis of an automated algorithm for issuing recommendations for driver actions. …”
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Method of Video-Measurements of Traffic Flow Characteristics at a Road Junction by Marina Yashina, Maria Belova, Alexey Mokhov

“…In connection with the development of modern highways and road networks, traffic flows behavior is becoming more and more complex and diverse. …”
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Tire-road surface characteristics estimation for skid-steered wheeled vehicle by Ao Li, Xiaolin Guo, Yuzheng Zhu, Xueyuan Li, Xin Gao

“…Following this, an Extended Forgetting Factor Recursive Least Squares (EFRLS) for estimating the road adhesion coefficient, alongside an adaptive genetic algorithm (AGA) for estimating tire parameters, was developed. …”
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Road Hazard Assessment Using Pothole and Traffic Data in South Korea by Choong Heon Yang, Jin Guk Kim, Sung Pil Shin

“…The relevant algorithm and its operating system are developed to produce the estimated index values that are classified into four levels of road risk. …”
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Optimization of Shift Strategy Based on Vehicle Mass and Road Gradient Estimation by Huijun Yue, Haobo Jing, Zhenkun Dai, Jinyu Lin, Zihan Ma, Changtong Zhao, Pan Zhang

“…Given the above problems, this paper focuses on the control and development of the electrically driven three-speed AMT and takes the shift controller with the vehicle mass and road gradient estimation as the research goal. …”
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Predicting Drivers’ Eyes-Off-Road Duration in Different Driving Scenarios by Wei Yuan, Zhuofan Liu, Rui Fu

“…Moreover, HMM-based algorithms that fed up with both glance duration and glance location sequences resulted in a highest accuracy of 92.7% in driver’s eyes-off-road durations prediction. …”
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