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Journal articles on the topic 'Mobile Road Problem'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Woo, Hoon Jeon, and Yang Inchul. "A STUDY ON ANALYSIS OF THE EFFECT OF MOBILE ROAD PROBLEM REPORTING SERVICE." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 4, no. 11 (2017): 106–11. https://doi.org/10.5281/zenodo.1065896.

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The Ministry of Land, Infrastructure and Transport has been providing Mobile Road Problem Reporting Service (MRPRS) since March 2014 so that people can report their complaints regarding the use of road through the smartphone app. Under the circumstances, this research aims to examine the necessity for and performance of MRPRS and prospect the future trend of road problem reporting through the service. Compared to 2013 when the MRPRS was not developed, the number of reports received doubled now, which means that a social demand for road service is increasing. It is deemed that the MRPRS will be

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Cheng, Peng, Ming Guo, Haibo Wang, Zexin Fu, Dengke Li, and Xian Ren. "Fusion Segmentation Network Guided by Adaptive Sampling Radius and Channel Attention Mechanism Module for MLS Point Clouds." Applied Sciences 13, no. 1 (2022): 281. http://dx.doi.org/10.3390/app13010281.

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Road high-precision mobile LiDAR measurement point clouds are the digital infrastructures for high-precision maps, autonomous driving, digital twins, etc. High-precision automated semantic segmentation of road point clouds is a crucial research direction. Aiming at the problem of low semantic segmentation accuracy of existing deep learning networks for inhomogeneous sparse point clouds of mobile LiDAR system measurements (MLS), a deep learning method that adaptively adjusts the sampling radius of region groups according to the point clouds density is proposed. We construct a deep learning road

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Qu, Guangjun, Yue Wu, Zhihong Lv, et al. "Road-MobileSeg: Lightweight and Accurate Road Extraction Model from Remote Sensing Images for Mobile Devices." Sensors 24, no. 2 (2024): 531. http://dx.doi.org/10.3390/s24020531.

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Current road extraction models from remote sensing images based on deep learning are computationally demanding and memory-intensive because of their high model complexity, making them impractical for mobile devices. This study aimed to develop a lightweight and accurate road extraction model, called Road-MobileSeg, to address the problem of automatically extracting roads from remote sensing images on mobile devices. The Road-MobileFormer was designed as the backbone structure of Road-MobileSeg. In the Road-MobileFormer, the Coordinate Attention Module was incorporated to encode both channel re

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SICIŃSKA, Katarzyna, and Maria DĄBROWSKA-LORANC. "PERFORMANCES AND SELF-DECLARED OPINIONS ON HANDHELD MOBILE PHONE USE (DISTRACTION IN TRAFFIC) IN POLAND." Transport Problems 19, no. 1 (2024): 143–55. http://dx.doi.org/10.20858/tp.2024.19.1.12.

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This article presents the Motor Transport Institute’s research to set out road safety indicators of behaviors and opinions on one of the increasingly important road traffic problems. Two types of studies on the unsafe use of mobile phones and others on board devices (distraction) by road users in Poland between 2014 and 2023 are presented. Safety Performance Indicators (SPI) on handheld mobile phone use from roadside observations and declared opinions on talking, reading messages, checking social media/news, and listening to headphones while driving, cycling, and walking are presented. Overall

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KHUSAINOV, R. M. "ROAD INFRASTRUCTURE OBJECT RECOGNITION SOFTWARE PACKAGE." Herald of Technological University 28, no. 2 (2025): 61–65. https://doi.org/10.55421/1998-7072_2025_28_2_61.

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The article considers the problem of recognizing road infrastructure objects using the developed mobile application. The necessity of using YOLOv8 neural network models to solve this problem is substantiated. When implementing the mobile application, the Kotlin programming language and the Android Studio 2024.2.1 development environment were chosen. The Driver Assistant mobile application was developed on a laptop with an Intel Pentium CPU 3825U processor with a frequency of 1.9 GHz, 8 GB RAM, running the 64-bit Windows 10 Pro operating system. The main components of the mobile application are

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Vaida, Taras. "PECULIARITIES OF USE BY THE POLICE OF “PHANTOM”-CARS AS MOBILE TECHNICAL MEANS IN THE ROAD SAFETY SYSTEM (ON THE EXAMPLE OF UKRAINE)." Administrative law and process, no. 1(34) (2022): 21–33. http://dx.doi.org/10.17721/2227-796x.2022.1.02.

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The purpose of the article is to determine on the basis of the analysis of statistical data characterizing the state of road injuries in Ukraine, the main causes of road accidents; conducting a comparative description of existing technical means of speed control; description of the specifics of the use of removable (mobile) vehicles with integrated systems for automatic safety control (speed mode) on the roads by patrol police units. To achieve this goal, scientific methods were used, such as critical analysis of special literature and specification of current requirements of regulations in th

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Augustus Orowhigo ATUBI. "The epidemic of texting and driving in Nigeria: A literature review of accidents on the highways." International Journal of Scholarly Research in Multidisciplinary Studies 3, no. 1 (2023): 001–6. http://dx.doi.org/10.56781/ijsrms.2023.3.1.0067.

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Driver distraction is an important risk factor for road traffic injuries. There are different types of driver distraction, usually divided into those where the source of distraction is internal to the vehicle – such as tuning a radio, or using a mobile phone, and those external to the vehicle – such as looking at billboard or watching people on the side of the road. This proper focuses on the use of mobile phones while driving, in response to concern among policy – makers that this potential risk to road safety is increasing rapidly as a result of the exponential growth in the use of mobile ph

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Ariyanto, Rudy, Yan Watequlis Syaifudin, Dwi Puspitasari, et al. "A Web and Mobile GIS for Identifying Areas within the Radius Affected by Natural Disasters Based on OpenStreetMap Data." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 15 (2019): 80. http://dx.doi.org/10.3991/ijoe.v15i15.11507.

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In many countries where natural disasters often occur, such as Indonesia, information about the area affected by the disaster is very important. As in the transportation sector, road users must avoid affected areas and roads. To overcome this problem, in this paper we propose a Geographic Information System (GIS) to identify areas affected by natural disasters within a certain radius. We use a web-based and mobile platform to present an open access system. In addition, we utilize OpenStreetMap map data as a source of spatial database that is open, wide-scale, and complete. In the initial stage

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Frej, Damian, Marek Jaśkiewicz, Miloš Poliak, and Zenon Zwierzewicz. "Smartphone Use in Traffic: A Pilot Study on Pedestrian Behavior." Applied Sciences 12, no. 24 (2022): 12676. http://dx.doi.org/10.3390/app122412676.

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Mobile phones accompany us in every area of life and at the same time keep us busy while performing other basic activities such as running, cycling, driving or walking in traffic. The problem of using cell phones while driving is of interest to many scientists around the world. This offense is severely punished in many countries. The problem of using mobile phones in moving vehicles has been largely resolved; however, there is a visible high percentage of pedestrians and cyclists who are used to checking their devices while moving in traffic. The aim of the article is to get acquainted with th

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Lee, Mingu, Jongyoun Won, Jimi Kim, et al. "Safety Lighting Sensor Robots Communicate in the Middle of the Highway/Roads." Applied Sciences 10, no. 7 (2020): 2353. http://dx.doi.org/10.3390/app10072353.

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A new robot-to-robot communication system is designed for operation in the middle of highways/roads to support mobile safety of approaching vehicles. Robot devices capable of directing a vehicle on a bypass route using the proposed vehicle guidance method are detailed. The safety device includes a detector configured to detect a vehicle approaching the sensor robot and an image projector configured to project an image onto the road surface of the approaching vehicle when the vehicle is recognized. Robots can interact in two ways: (1) directly with drivers in the car to avoid the lane problem a

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Nurunnabi, A., F. N. Teferle, R. C. Lindenbergh, J. Li, and S. Zlatanova. "ROBUST APPROACH FOR URBAN ROAD SURFACE EXTRACTION USING MOBILE LASER SCANNING 3D POINT CLOUDS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2022 (May 30, 2022): 59–66. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2022-59-2022.

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Abstract. Road surface extraction is crucial for 3D city analysis. Mobile laser scanning (MLS) is the most appropriate data acquisition system for the road environment because of its efficient vehicle-based on-road scanning opportunity. Many methods are available for road pavement, curb and roadside way extraction. Most of them use classical approaches that do not mitigate problems caused by the presence of noise and outliers. In practice, however, laser scanning point clouds are not free from noise and outliers, and it is apparent that the presence of a very small portion of outliers and nois

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Al Alawi, Murshid Abdullah, and Shaik Mazhar Hussain Shaik. "Tracking Stray Camels Crossing the Roads to Prevent Vehicle Accidents in Oman." Journal of Engineering Research [TJER] 21, no. 2 (2025): 114–25. https://doi.org/10.53540/tjer.vol21iss2pp114-125.

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The work presented in this paper addresses the problem of vehicle accidents due to stray camels crossing the roads by notifying the drivers about camels’ existence and location. Subsequently, the drivers can take precautionary measures to prevent collisions with camels. This is achieved by developing a system consisting of two parts. The first part is a bracelet tied to the camel's neck, and the second is the mobile application installed on the driver's mobile device. Hence, this proposed work aims to prevent road accidents in Oman due to stray camels moving freely on the roads and achieving s

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Angarita Reina, Fredy, Brayan Alfonso Aparicio Duran, Pedro Alberto Arias Quintero, Luis Gómez Salgado, Richard De Jesús Gil Herrera, and Daniel Ricardo Delgado. "Securing mobility in Bucaramanga." Ingenieria Solidaria 20, no. 1 (2023): 1–22. http://dx.doi.org/10.16925/2357-6014.2024.01.07.

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Introduction: The smart city paradigm is made up of a set of actors who must operate jointly to guarantee road flow. However, sometimes there are accidents, and they affect productive apparatus, cause minor or temporary injuries and sometimes death of the individuals involved. Problem: Events occur for multiple reasons and the authorities have difficulties in implementing controls that minimize their occurrence since they do not have the necessary tools to capture and analyze timely information on the claims that have been presented. Objective: The objective is to increase road safety control

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KHUSAINOV, R. M. "NUMERICAL METHOD FOR INTEGRATING LAYERS INTO THE ARCHITECTURE OF AN ADAPTIVE ENERGY-EFFICIENT MODEL." Herald of Technological University 28, no. 6 (2025): 122–27. https://doi.org/10.55421/3034-4689_2025_28_122.

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This article considers the problem of object recognition in road scenes. The study revealed that the increase in the complexity of neural network models leads to a significant increase in computational costs and energy consumption, which limits their use in mobile devices. To solve the problem, a method is proposed for integrating layers into the architecture of an adaptive energy-efficient model, characterized by dynamic control of the model parameters based on the analysis of the road scene, computing resources, which allows to increase the accuracy of object recognition (road signs, road ma

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Ishikawa, Kiichiro, Yoshiharu Amano, and Takumi Hashizume. "Path Planning for Mobile Mapping System Considering the Geometry of the GPS Satellite." Journal of Robotics and Mechatronics 25, no. 3 (2013): 545–52. http://dx.doi.org/10.20965/jrm.2013.p0545.

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In this paper, we propose a path planning method for a Mobile Mapping System (MMS) considering GPS geometry for the purpose of increasing GPS availability. We calculate Position Dilution of Precision (PDOP) using aerial laser survey data that provides geography and height of buildings near roads. PDOP is used for weighting road network data. By using the Chinese postman problem, we then calculate the optimum path that passes through all routes at least once. We describe currentMMS operation first and clear up problems with the current method. We then describe the proposed method in detail. Fin

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Qiu, Kaijin, Kai Sun, Kou Ding, and Zhen Shu. "A FAST AND ROBUST ALGORITHM FOR ROAD EDGES EXTRACTION FROM LIDAR DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 693–98. http://dx.doi.org/10.5194/isprs-archives-xli-b5-693-2016.

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Fast mapping of roads plays an important role in many geospatial applications, such as infrastructure planning, traffic monitoring, and driver assistance. How to extract various road edges fast and robustly is a challenging task. In this paper, we present a fast and robust algorithm for the automatic road edges extraction from terrestrial mobile LiDAR data. The algorithm is based on a key observation: most roads around edges have difference in elevation and road edges with pavement are seen in two different planes. In our algorithm, we firstly extract a rough plane based on RANSAC algorithm, a

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Qiu, Kaijin, Kai Sun, Kou Ding, and Zhen Shu. "A FAST AND ROBUST ALGORITHM FOR ROAD EDGES EXTRACTION FROM LIDAR DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 693–98. http://dx.doi.org/10.5194/isprsarchives-xli-b5-693-2016.

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Fast mapping of roads plays an important role in many geospatial applications, such as infrastructure planning, traffic monitoring, and driver assistance. How to extract various road edges fast and robustly is a challenging task. In this paper, we present a fast and robust algorithm for the automatic road edges extraction from terrestrial mobile LiDAR data. The algorithm is based on a key observation: most roads around edges have difference in elevation and road edges with pavement are seen in two different planes. In our algorithm, we firstly extract a rough plane based on RANSAC algorithm, a

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18

Mizoguchi, Ryosuke, Yuki Minami, and Masato Ishikawa. "Speed Control of Mobile Robots Using Vibration Stimuli from Bumpy Road Surface." Journal of Robotics and Mechatronics 35, no. 2 (2023): 343–46. http://dx.doi.org/10.20965/jrm.2023.p0343.

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Speed bumps and rumble strips have been introduced into the traffic infrastructure to improve traffic safety. When a vehicle travels on a road where speed bumps and rumble strips are installed, vibration stimuli are transmitted to the driver to encourage control of the speed and position of the vehicle. In this letter, speed bumps are applied to an automated driving system. More precisely, this letter considers the speed control of a mobile robot using vibration stimuli from bumpy road surfaces. We formulated a design problem for a speed control law for a mobile robot and proposed a controller

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Ghorpade, Samiksha, Nutan Harle, Tina Kshirsagar, and Yash Lakhe. "Road and Bridge Blocking System in Flood Situation." International Journal for Research in Applied Science and Engineering Technology 12, no. 9 (2024): 1591–94. http://dx.doi.org/10.22214/ijraset.2024.64355.

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Abstract: The system uses hydraulic or mechanical barriers that can be quickly opened in response to rising water levels, preventing access to barriers and bridges. Up to date data from weather forecasters and water gauges provide effective protection to ensure closure times before flooding reaches critical levels. In addition, the central control centre provides timely updates to the public via mobile and digital signage applications, encouraging collaboration with emergency services and local authorities. The purpose of this document is to provide guidance to highway authorities and other re

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KATASEV, A. S., D. V. KATASEVA, YU N. SMIRNOV, and N. I. FATTAKHOV. "MOBILE APPLICATION FOR TEMPORARY ROAD SIGNS RECOGNIZING." Herald of Technological University 27, no. 10 (2024): 112–19. https://doi.org/10.55421/1998-7072_2024_27_10_112.

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This article is devoted to solving the problem of developing a mobile application for recognizing temporary traffic signs. The application can be used on smartphones and analyze the traffic situation at any time of the day in any weather conditions, increasing the safety of driving without the need for additional financial costs. To develop the mobile application, convolutional neural networks based on the Faster R-CNN and Yolov5s architectures were used. To train them, it was necessary to prepare initial data, which was used as a public database of Russian road signs. An important feature of

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Zhao, Jianwei, and Yushuo Liu. "Research on Road Sign Detection and Visual Depth Perception Technology for Mobile Robots." Electronics 12, no. 14 (2023): 3202. http://dx.doi.org/10.3390/electronics12143202.

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To accomplish the task of detecting and avoiding road signs by mobile robots for autonomous running, in this paper, we propose a method of road sign detection and visual depth perception based on improved Yolov5 and improved centroid depth value filtering. First, the Yolov5 model has a large number of parameters, a large computational volume, and a large model size, which is difficult to deploy to the CPU side (industrial control computer) of the robot mobile platform. To solve this problem, the study proposes a lightweight Yolov5-SC3FB model. Compared with the original Yolov5n model, the Yolo

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Yuan, Jing, Xin Chen, Min Zhang, and Pengfei Zhang. "An MPF Based Aerial Platform Tracking Method for Road Network Targets." Journal of Physics: Conference Series 2216, no. 1 (2022): 012088. http://dx.doi.org/10.1088/1742-6596/2216/1/012088.

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Abstract This paper presents a new algorithm to improve the tracking accuracy of the aerial mobile observation platform by using road information constraints. Combined with the road information and Mixed Particle Filter(MPF) algorithm, the Road Constrained Mixed Particle Filter(RCMPF) algorithm is proposed. RCMPF algorithm can effectively solve the problem of non-linear observation equation of aerial observation platform and realize the tracking of ground targets. The simulation results show that the algorithm improves the tracking accuracy of the target.

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Fang, Lanting, Ze Kou, Yuzhang Zhou, Yudong Zhang, and George Y. Yuan. "In Search of the Max Coverage Region in Road Networks." Remote Sensing 15, no. 5 (2023): 1289. http://dx.doi.org/10.3390/rs15051289.

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The widespread use of mobile devices has resulted in the generation of vast amounts of spatial data. The availability of such large-scale spatial data facilitates the development of data-driven approaches to address real-life problems. This paper introduces the max coverage region (MCR) problem in road networks and provides efficient solutions. Given a set of spatial objects and a coverage radius, the MCR problem aims to identify a location from the road network, so that we can reach as many spatial objects as possible within the given coverage radius from the location. This problem is fundame

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Huang, He, Yizhou Xue, and Dean Luo. "Camera Rapid Calibration Method for Mobile Road Measurement System." Journal of Imaging Science and Technology 64, no. 4 (2020): 40406–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2020.64.4.040406.

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Abstract In recent years, a variety of mobile road measurement equipment has emerged and become an important means of collecting spatial information. As an important part of the mobile road measurement system, a camera’s function implementation and data accuracy largely depend on its internal parameters and the rotation and translation parameters corresponding to the world coordinate system. Based on this and on the traditional camera calibration method, radial and tangential distortion for monocular camera calibration is introduced in this article to establish a calibration model, and the non

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Frej, Damian, Marek Jaśkiewicz, and Milos Poliak. "Pedestrian and driver safety problems caused by the use of a mobile phone - pilot studies." Archives of Transport 70, no. 2 (2024): 97–115. http://dx.doi.org/10.61089/aot2024.crcsm333.

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The use of hand-held mobile phones by drivers and pedestrians is common and is becoming more common every year. Mobile phones have become an integral part of our everyday life, accompanying us in almost every respect. Modern smartphones perform functions that go far beyond their original purpose as devices for making telephone calls. We use them for GPS navigation and electronic banking. Moreover, using mobile applications, we can make purchases and sales of products quickly and safely. The number of people owning mobile phones is growing all over the world, and access to the Internet, which i

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Mykhailenko, Vladyslav, and Tamerlan Safranov. "THE PROBLEM OF EVALUATION OF INDIVIDUAL PERSISTENT ORGANIC POLLUTANTS EMISSIONS FROM ROAD TRANSPORT (ILLUSTRATED BY THE CASE OF ODESSA INDUSTRIAL-AND-URBAN AGGLOMERATION)." Environmental Problems 7, no. 1 (2022): 39–46. http://dx.doi.org/10.23939/ep2022.01.039.

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One of the main environmental polluters, especially in large cities of Ukraine, is road transport. In particular, road transport is one of the main sources of persistent organic pollutants in the environment. Therefore, monitoring of air pollution by road transport is one of the most relevant questions in Ukraine, especially considering its intentions to join the European Union. Analysis of the regulatory and legislative frameworks of Ukraine shows that, unfortunately, today, there are no regulatory documents that motivate to reduce the load of mobile sources, including road transport, on the

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Korenevsky, V. V., and E. A. Mordik. "ASSESSMENT OF THE GEOMETRIC PARAMETERS OF THE ROAD USING A MOBILE ROAD LABORATORY." Construction and Geotechnics 10, no. 2 (2019): 116–25. http://dx.doi.org/10.15593/2224-9826/2019.4.11.

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The relevance of the study is due to the fact that any complex laboratory equipment requires the appropriate qualifications of staff. A successfully mastered operator training course is sufficient for most standard situations, but does not provide comprehensive ideas about the features of the equipment and software in difficult field conditions, which in turn can cause difficulties in the operation of the device and an increase in the share of subjective decisions in the result. A more complete study of the operation of complex equipment is possible only having practical experience in its oper

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Xu, Qing, Shisheng Feng, Qun Sun, et al. "A Method of Planning Disaster Emergency Rescue Paths in Road-Free Environment." Computational Intelligence and Neuroscience 2022 (January 31, 2022): 1–13. http://dx.doi.org/10.1155/2022/2987852.

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The occurrence of natural disasters has caused great loss of lives and properties that affected many people. To improve the efficiency of the emergency rescue efforts, the problem of road planning for emergency workers, vehicles, and other mobile objects should be overcome. Due to the characteristics of the emergency planning for rescue paths, timely, effective, and rapid efforts should be taken into effect based on geographical data in the road-free environment. This paper analyzes trafficability, researches both access ability and traffic efficiency, and uses traffic efficiency concerning th

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Li, Yongqiang, Jiale Wu, Huiyun Liu, et al. "Classification of Typical Static Objects in Road Scenes Based on LO-Net." Remote Sensing 16, no. 4 (2024): 663. http://dx.doi.org/10.3390/rs16040663.

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Mobile LiDAR technology is a powerful tool that accurately captures spatial information about typical static objects in road scenes. However, the precise extraction and classification of these objects pose persistent technical challenges. In this paper, we employ a deep learning approach to tackle the point cloud classification problem. Despite the popularity of the PointNet++ network for direct point cloud processing, it encounters issues related to insufficient feature learning and low accuracy. To address these limitations, we introduce a novel layer-wise optimization network, LO-Net. Initi

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Van, Tran Thi Thuy, S. Yu Gridnev, and I. V. Ravodin. "Verification of the Finite Element Model of a Moving Load Passing Over a Single Irregular Suspended Load in the Dynamic Analysis of a Beam System." Engineering, Technology & Applied Science Research 15, no. 1 (2025): 19501–5. https://doi.org/10.48084/etasr.9352.

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This article compares the variants of dynamic models of mobile load to describe the joint oscillations of span structures and vehicles on road bridges, taking into account the irregularities of the road surface. Using a known solution to the beam system oscillation problem, when the sprung load moves through a single unevenness, the joint modeling application of an inert mobile load and a span structure in the LS-Dyna FE complex using contacts is considered. The proposed method eliminates the need to use special plugins to describe the car dynamics and allows considering the the separation of

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Han, Xiao, Huiqiang Wang, Guoliang Yang, and Chengbo Wang. "Efficient Task Offloading for Mobile Edge Computing in Vehicular Networks." International Journal of Digital Crime and Forensics 16, no. 1 (2024): 1–23. http://dx.doi.org/10.4018/ijdcf.349133.

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In vechcular networks, a promising approach to enhance vehicle task processing capabilities involves using a combination of roadside base stations or vehicles, there are two challenges when integrating the two offloading modeth: 1) the high mobility of vehicles can easily lead to connectivity interruptions between nodes, which in turn affects the processing of the tasks that are being offloaded; and 2) vehicles on the road are not completely trustworthy, and vehicle tasks that contain private information may suffer from result errors or privacy leakage and other problems. This paper investigat

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Gouasmia, Karima, Wafa Mefteh, and Faiez Gargouri. "Self-design mobile agent based approach for road traffic data collection." Multiagent and Grid Systems: An International Journal of Data Science and Artificial Intelligence 20, no. 3-4 (2024): 219–30. https://doi.org/10.1177/15741702241296433.

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Today, the collection of high-quality data serves as the basis for precise and complex analysis, facilitating the formulation of answers to relevant questions, improving decision-making processes and evaluating results. In this regard, the importance of data continues to grow in various aspects of our society and daily lives. Despite its importance, data collection poses challenges inherent to the massive quantity of data, the heterogeneity and the sources of distributed data. In recent years, several research projects have addressed this type of problem, relying on the use of advanced tools a

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Rashid, Sami Abduljabbar, Lukman Audah, Mustafa Maad Hamdi, Mohammed Salah Abood, and Sameer Alani. "Reliable and efficient data dissemination schemein VANET: a review." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 6423. http://dx.doi.org/10.11591/ijece.v10i6.pp6423-6434.

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Vehicular ad-hoc network (VANET), identified as a mobile ad hoc network MANETs with several added constraints. Basically, in VANETs, the network is established on the fly based on the availability of vehicles on roads and supporting infrastructures along the roads, such as base stations. Vehicles and road-side infrastructures are required to provide communication facilities, particularly when enough vehicles are not available on the roads for effective communication. VANETs are crucial for providing a wide range of safety and non-safety applications to road users. However, the specific fundame

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Sami, Abduljabbar Rashid, Audah Lukman, Maad Hamdi Mustafa, Salah Abood Mohammed, and Alani Sameer. "Reliable and efficient data dissemination scheme in VANET: a review." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 6423–34. https://doi.org/10.11591/ijece.v10i6.pp6423-6434.

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Vehicular ad-hoc network (VANET), identified as a mobile ad hoc network MANETs with several added constraints. Basically, in VANETs, the network is established on the fly based on the availability of vehicles on roads and supporting infrastructures along the roads, such as base stations. Vehicles and road-side infrastructures are required to provide communication facilities, particularly when enough vehicles are not available on the roads for effective communication. VANETs are crucial for providing a wide range of safety and non-safety applications to road users. However, the specific fundame

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Uparkar, Swati. "Road Damage Assessment." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30054.

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In this research, the emphasis is placed on the vital function of roadway systems in spurring economic growth, connecting different communities, and ensuring access to crucial services like education and healthcare. The study identifies several key factors contributing to the wear and tear of road infrastructures, such as extreme weather conditions, high traffic volumes, suboptimal construction techniques, and lack of regular upkeep. Specifically, the occurrence of potholes is highlighted as a major concern, leading to not only discomfort for commuters but also potential vehicle damage and inc

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Yin, Guang Li. "The Analysis and Design of the Dynamic Information Service System Network Architecture of the SOA Based on WAVE Technology." Advanced Materials Research 1044-1045 (October 2014): 1380–83. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1380.

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Safety problem is one of the most attention and concern of driving. This paper in the high-speed on the road cars and car, car and road communications, vehicle real-time status, through the network information service system integration on a platform, on the use of related technologies are analyzed, the design of the software system based on SOA architecture.Keywords: network, GPS module, SOA cross platformI. IntorductionWith the development of science and technology and the improvement of people's living standard, Car popularity rate is high, it's hard to believe, families has two or three ca

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Maciołek, Tadeusz. "A mobile catenary power supply system for automotive vehicles." MATEC Web of Conferences 180 (2018): 01001. http://dx.doi.org/10.1051/matecconf/201818001001.

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Trolleybus type power supply using a two-pole overhead catenary system has been used for over one hundred years. However, energy demand in this type of road transport is the lowest. The main disadvantage of this type of transport is the lack of flexibility. Road electric vehicles equipped with batteries, which are now more and more often being put into service, allow for autonomous run on the roads without overhead contact wires. Therefore, it is possible to use them in a more flexible manner. The main problem is a limited range of autonomous run and long charge time of batteries. The paper pr

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Frej, Damian Paweł. "Phone use by pedestrians - pilot studies." Archives of Automotive Engineering – Archiwum Motoryzacji 104, no. 2 (2024): 5–18. http://dx.doi.org/10.14669/am/175257.

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People use mobile phones for almost all activities throughout the day. Phones are used to perform activities such as running, cycling and walking on the sidewalk. Most often we listen to music, browse the Internet or just talk. Unfortunately, it should be noted that the use of a mobile phone is not always safe, as it can distract the attention of a pedestrian or driver, which can lead to a road accident. The topic of using mobile phones at pedestrian crossings is much less frequently discussed compared to using a mobile phone while driving a passenger vehicle. The phenomenon of distracting ped

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Raiyn, Jamal. "Developing Vehicle Locations Strategy on Urban Road." Transport and Telecommunication Journal 18, no. 4 (2017): 253–62. http://dx.doi.org/10.1515/ttj-2017-0022.

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Abstract Various forecasting schemes have been proposed to manage urban road traffic data, which is collected by different sources such as, videos cameras, sensors and mobile phone services. However, these are not sufficient for the purpose because of their limited coverage and high costs of installation and maintenance. This paper describes urban road congestion as a resource assignment problem in urban areas, in which vehicles are assigned to available sections of road. In order to accomplish this and reduce road congestion, an estimation of the vehicle location is needed. Different strategi

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A L, Deepa. "Pothole Detection Using Yolo V3: A Deep Learning Approach." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1989–93. http://dx.doi.org/10.22214/ijraset.2021.36796.

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Potholes on roads constitute a serious problem for citizens acting as pedestrians furthermore as vehicular drivers. Government bodies which carries with it engineers and workers are responsible to detect damages on roads. Manually assessing every single a part of the road is very time- consuming, requires lots of manpower and hence it cannot be done efficiently. the tactic to repair this issue by automating the detection. The study focuses on collecting and analyzing the dataset of potholes to coach a convolutional neural network. the thing detection system tiny YOLOv3 is employed for detectin

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Et. al., Meet Mineshbhai Shah,. "Crowdsensing using Geofencing for Smart Parking." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 11 (2021): 791–96. http://dx.doi.org/10.17762/turcomat.v12i11.5964.

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Finding a parking spot for a car is a practical problem faced by millions of drivers daily. Most of the times it involves anxiety and uncertainty, also considering a threat to environment, it wastes limited resources which includes time, road space, and fuel. Also drivers roam around in search of free parking spaces. These problems could be minimized if drivers had advance information of vacant parking spots. This information can be gathered with dedicated sensor systems keeping track of the reservation status of parking areas. New devices such as mobile phones come with a variable number of s

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Hidayat, Syahdan, Setiabudi Sakaria, and Bagus Kristomoyo Kristanto. "Aplikasi Berbasis Crowdsourcing Guna Mengetahui Kondisi Jalan Di Kota Malang." J-INTECH 9, no. 01 (2021): 42–46. http://dx.doi.org/10.32664/j-intech.v9i01.591.

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The city of Malang as a city of education and tourism has seen an increase in the number of vehicles that can cause, among others, road congestion, air pollution, waste of fuel and road damage. The road that is often jammed if left unchecked will have an impact on the smooth journey and satisfaction of road users. Along with the development of information technology, this can be overcome with applications based on Geographic Information Systems and crowdsourcing, where road users can see road congestion through their mobile devices in real time. Research related to the Design of a Geographic I

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Guan, H., S. Cao, Y. Yu, et al. "STREET-SCENE TREE SEGMENTATION FROM MOBILE LASER SCANNING DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 221–25. http://dx.doi.org/10.5194/isprs-archives-xli-b3-221-2016.

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Our work addresses the problem of extracting trees from mobile laser scanning data. The work is a two step-wise strategy, including terrain point removal and tree segmentation. First, a voxel-based upward growing filtering is proposed to remove terrain points from the mobile laser scanning data. Then, a tree segmentation is presented to extract individual trees via a Euclidean distance clustering approach and Voxel-based Normalized Cut (VNCut) segmentation approach. A road section data acquired by a RIEGL VMX-450 system are selected for evaluating the proposed tree segmentation method. Qualita

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Guan, H., S. Cao, Y. Yu, et al. "STREET-SCENE TREE SEGMENTATION FROM MOBILE LASER SCANNING DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 221–25. http://dx.doi.org/10.5194/isprsarchives-xli-b3-221-2016.

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Our work addresses the problem of extracting trees from mobile laser scanning data. The work is a two step-wise strategy, including terrain point removal and tree segmentation. First, a voxel-based upward growing filtering is proposed to remove terrain points from the mobile laser scanning data. Then, a tree segmentation is presented to extract individual trees via a Euclidean distance clustering approach and Voxel-based Normalized Cut (VNCut) segmentation approach. A road section data acquired by a RIEGL VMX-450 system are selected for evaluating the proposed tree segmentation method. Qualita

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Gao, Yang, Da Wei Hu, Lai Jun Wang, and Jing Shuai Yang. "An Entry Point Based Local Path Planning for Mobile Robot with Blind Zone." Applied Mechanics and Materials 373-375 (August 2013): 197–200. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.197.

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Path planning for mobile robot with blind zone is a difficult and practical problem. To decrease the influence of blind zone. The path planning approach in this paper has introduced entry point to represent the free road which may guide the robot to find the gaps between obstacles. By estimating the entry point in blind zone and estimating the probability it exist there using uncented kalman filter, the historical sensor information is used. All entry points are then evaluated using a evaluate function. So that both the current sensor information and the historical sensor information are used.

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Yan, Xiaocan. "IT Based Business Transformation Research of XLY." Advances in Economics, Management and Political Sciences 67, no. 1 (2024): 266–77. http://dx.doi.org/10.54254/2754-1169/67/20241319.

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Under the impact of mobile e-commerce, traditional supermarket operations are facing greater competitive pressure. Many traditional supermarkets are looking for a way out, relying on their accumulated supply chain, customer base, and brand capabilities to transform into e-commerce channels. XYL is a department store retailing company, has also followed the needs of the times and embarked on the road of digital transformation, opening an online store, and realizing online and offline integration. However, XYL is still in the early stage of transformation and still faces many problems such as lo

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Andriievskyi, Denys, Viktor Shevchenko, and Volodymyr Petrivskyi. "MOBILE APPLICATION DEVELOPMENT FOR BLIND PEDESTRIANS TO PREVENT ROAD DANGERS." Information systems and technologies security, no. 1 (5) (2021): 63–69. http://dx.doi.org/10.17721/ists.2021.1.61-67.

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According to the last statistic researches approximately more than one billion people worldwide live with some form of visual impairment. In turn, visual impairments limit people's ability to perform daily functions and affect their quality of life and ability to interact with the world around them. In the article mobile application development for blind pedestrians to prevent road dangers is presented. Short overviews of similar applications like Alexa, Via Opta Nav, and Object Detector are described. Each of described programs has disadvantages like limited use area, real-time object detecti

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Pharo, Emma. "Extent of mobile phone use by pedestrians on controlled crossings in central Hobart, Tasmania." Journal of the Australasian College of Road Safety – Volume 30, Issue 1, 2019 30, no. 1 (2019): 14–19. http://dx.doi.org/10.33492/jacrs-d-18-00005.

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Distracted walking is one way that pedestrians increase their risk of injury, but little is known about the extent of the problem. I quantified the extent of phone use by pedestrians over seven hours at each of the 10 signalised crossings in central Hobart. Of the 16,032 people counted, 12.4% of pedestrians were using phones: 4.6% were reading or typing on their phone, 2.3% were talking and another 5.5% were listening to headphones. The latter figure will be an underestimate because of the difficulty of seeing headphones obscured by hats and long hair. At the busiest sites at two ends of a ped

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Jameel, Abeer, and Harry T. Evdorides. "REVIEW OF MODIFYING THE INDICATORS OF ROAD SAFETY SYSTEM." Journal of Engineering and Sustainable Development 27, no. 2 (2023): 149–70. http://dx.doi.org/10.31272/jeasd.27.2.1.

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The new vision of road safety issue is based on a systematic approach called a “safe system’. This approach has been applied recently in some developed countries and resulted in a significant reduction in road fatalities. Alternatively, it is necessary to develop an index to use not only in assessing the size of the road safety problem but also to monitor the intermediate outcome of its operational performance. This paper aims to review the modified indicators of the operational performance of road safety systems based on the fundamentals of the ‘safe system’ vision. A methodology is presented

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Wang, Yanjun, Yunhao Lin, Hengfan Cai, and Shaochun Li. "Hierarchical Fine Extraction Method of Street Tree Information from Mobile LiDAR Point Cloud Data." Applied Sciences 13, no. 1 (2022): 276. http://dx.doi.org/10.3390/app13010276.

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The classification and extraction of street tree geometry information in road scenes is crucial in urban forest biomass statistics and road safety. To address the problem of 3D fine extraction of street trees in complex road scenes, this paper designs and investigates a method for extracting street tree geometry and forest parameters from vehicle-mounted LiDAR point clouds in road scenes based on a Gaussian distributed regional growth algorithm and Voronoi range constraints. Firstly, a large number of non-tree and other noise points, such as ground points, buildings, shrubs and vehicle points,

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