Three-Dimensional Reconstruction of Road Structural Defects Using GPR Investigation and Back-Projection Algorithm by Lutai Wang, Zhen Liu, Xingyu Gu, Danyu Wang

“…Ground-Penetrating Radar (GPR) has demonstrated significant advantages in the non-destructive detection of road structural defects due to its speed, safety, and efficiency. …”
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Predicting roadkill: a regional-scale model for the Northern Tamandua integrating environmental and road characteristics by Silvio Boyat, Esmeralda Arévalo-Huezo

“…The final model had an excellent predictive performance (AUC = 0.989) and identified 108.7 km of road sections throughout the region as high risk, mainly found on primary roads. …”
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Influence of Ceramic Waste and Cement on the Mechanical and Hydraulic Properties, and Microstructure of the Road Sub-Base Layer by Sadek Deboucha, Hocine Ziani, Abderrachid Amriou, Walid Maherzi, Walid Deboucha

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Blinks of ideas by the road ... - Reference for Atamukas S. Lietuvos žydų kelias. - Vilnius: Alma littera, 1998. by Saulius Kaubrys, Eglė Bendikaitė

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Method for detecting collusion attack node in road condition information sharing based on reputation point by Shichang XUAN, Hao TANG, Wu YANG

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Distributed nearneighbor search algorithm based on real-time traffic information in dynamic road network by Chen YE, Zhen-yu YANG, Jian YU, Qi LONG

Subjects: “…dynamic road network…”
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Prioritization of Preventive Measures: A Multi-Criteria Approach to Risk Mitigation in Road Infrastructure Projects by Aleksandar Senić, Marija Ivanović, Momčilo Dobrodolac, Zoran Stojadinović

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Research on Monitoring method of Urban Road Waterlogging Depth Based on Deep Learning and Ellipse Detection by LIAO Yuhong, HUANG Guoru

“…In order to solve the problem that the traditional urban waterlogging monitoring methods consume a lot of manpower and material resources and also have a high cost,which cannot meet the needs of comprehensive and rapid monitoring of urban flood,a method of monitoring the depth of urban road waterlogging using deep learning and ellipse detection algorithm is applied,which constructs a computation model of the urban road waterlogging depth by detecting and segmenting the wheels of different types of vehicles on the images through a deep learning model and using ellipse detection algorithm to extract the geometric characteristic parameters of submerged wheels.Verified by typical video monitoring sites in Dongying City,The results show that the average positioning precision and segmentation precision of the model on the dataset can reach over 94%;the model has a good monitoring effect on waterlogging depth for vehicles on both the directly lateral side and the oblique lateral side in actual waterlogging monitoring;furthermore,the results at the near point are better than that at the far point,and the results for vehicles on the directly lateral side are better than the oblique lateral side.The results can lay the foundation for further research,and provide technical support for urban waterlogging monitoring and flood emergency management.…”
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A Review of Ammonia Combustion and Emissions Characteristics in Spark-Ignition Engines and Future Road Map by Vikas Sharma, Angad Panesar, Guillaume de Sercey, Steven Begg

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Dynamic Stiffness Measurements of Road Pavements by Means of Impact Hammer in a Non-Resonant Configuration by Matteo Bolognese, Erica Greco, Francesco Bianco, Gaetano Licitra

“…More specifically, the latter concerns the interaction between the tire and the road surface, and so it is also known as Tire–Road Noise (TRN). …”
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Feature Extraction of Broken Glass Cracks in Road Traffic Accident Site Based on Deep Learning by Shuai Liang

“…This paper studies the feature extraction and middle-level expression of Convolutional Neural Network (CNN) convolutional layer glass broken and cracked at the scene of road traffic accident. The image pyramid is constructed and used as the input of the CNN model, and the convolutional layer road traffic accident scene glass breakage and crack characteristics at each scale in the pyramid are extracted separately, and then the depth descriptors at different image scales are extracted. …”
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A Front Water Recognition Method Based on Image Data for Off-Road Intelligent Vehicle by Haiwei Wang, Yibing Zhao

“…Off-road intelligent vehicle is an important application about Internet of Vehicles technology used in the transportation field, and the front obstacle recognition method is the key technology for off-road intelligent vehicle. …”
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The impacts of drought on water availability: spatial and temporal analysis in the Belt and Road region (2001–2020) by Jing Lu, Li Jia, Massimo Menenti, Chaolei Zheng, Guangcheng Hu, Dabin Ji

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A brief overview of literary Darwinism and a Darwinian perspective on The Road by Cormac McCarthy by Malina Załużna-Łuczkiewicz

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DESIGN AND PERFORMANCE ANALYSIS OF A DOUBLE LAYER VIBRATION ISOLATOR SUITABLE FOR AMMUNITION ROAD TRANSPORTATION by 张皓宇, 韩保红, 程兆刚, 曹洪娜, 刘俊延

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Study of Asphalt Pavement Cracking in Different Road Sections of Morocco Using Electrical Resistivity Tomography by Khalid Krami, Ahmed Benamara, Mohammed Radouani, Mohammad Ettayeb, Lhoussaine Tarik

“…Road pavements undergo various environmental factors such as temperature changes, precipitation, and traffic exposure, which can lead to cracks in asphalt pavements compromising road user safety and necessitating costly repairs. …”
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Utilization of bauxite waste as a fine aggregate material for concrete roads: A critical review by Alamsyah A. M., Pratikso, Mudiyono R., Wahyudi Biantoro A.

“…This research uses a critical review to describe the potential of bauxite tailings as a substitute for fine aggregate in concrete mixtures for road construction. There are differences in the Composition of the bauxite tailings used in the concrete mix, which will influence the results of testing the compressive strength and elasticity of the resulting concrete. …”
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Design of a Flexible Pavement For Nyakabande–Mutolere Road, Nyakabande Sub County, Kisoro District. by Habimana, Stephen

“…Transport remains a vital factor for the social, economic and political well-being of any nation and it is thus of paramount importance. Besides the 94% of road accidents being caused by human error, poor driving road surfaces which result from inadequate and premature pavement deteriorations, are responsible for various accident reports in the country, Uganda. …”
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Designing of a Drainage System on a Section of Katuna - Rubaya - Muko Road in Kabale District. by Amanya, Rabbi

“…All these form a sequence of activities to divert the runoffs off the road.…”
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Assessing the Use of Crushed Rock Aggregate and Carbon Black for Laterite Soil Stabilization in Road Construction. by Turyamureeba, Emmanuel

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