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Articles de revues sur le sujet « Smart vehicle »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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1

Raut, Sonali P., and A. C. Pise. "Smart Vehicle." Journal of Electronics,Computer Networking and Applied Mathematics, no. 41 (December 1, 2023): 38–47. http://dx.doi.org/10.55529/jecnam.41.38.47.

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This article gives a summary of the existing state of affairs and potential developments for smart vehicles while taking into consideration social, technological, and transportation aspects. Additionally, it examines the strategies for turning the smart into a generic vehicle, potential future developments, 5G, ADAS, and power source characteristics. This will make it possible for linked automobiles to take center stage in smart cities. Information may be exchanged between vehicles and road infrastructures as well as from one vehicle to another thanks to the vehicle-to-infrastructure (V2I) and

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Bharathi, V. C. "Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1823–26. http://dx.doi.org/10.22214/ijraset.2021.36746.

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In the modern age, many people have vehicles. Vehicle is now a primary need. Every place is under process of urbanization. There are many supermarkets and shopping centers etc. There are many creative places where people used to go for refreshing and relaxation. All these places are full of with people so they need a parking space where people can park their vehicles safely and easily. Every parking area needs a website or system that records the detail of vehicles to give the parking facility. With the help of iot based system we can deliver a good service to users/people who wants to park th

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Sai Teja, Pendur, Nagireddy Shiva Smaran Reddy, Praveen Kumar Pandugu, and Pratheek Vangari. "Smart Vehicle Monitoring And Tracking System." E3S Web of Conferences 391 (2023): 01099. http://dx.doi.org/10.1051/e3sconf/202339101099.

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Nowadays tracking a theft vehicle or monitoring continuously vehicles, tracking systems have escalated quickly. The major concern of the proposed system is identifying vehicle theft and monitoring its status. We can use this in several ways such as delivering security to vehicles such as bikes or cars and many other vehicles and if there are any goods in the vehicle, with the help of this we can keep track of the vehicle in maps. This is very useful for tracking the movement of a vehicle from any location at any time. In this, we can make a tracking system that is modelled and executed for tra

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Fadhil, Ali Muayed, Norashidah Md Din, Norazizah Binti Mohd Aripin, and Ali Ahmed Abed. "Advanced Privacy Scheme to Improve Road Safety in Smart Transportation Systems." International journal of Computer Networks & Communications 16, no. 2 (2024): 71–86. http://dx.doi.org/10.5121/ijcnc.2024.16205.

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In -Vehicle Ad-Hoc Network (VANET), vehicles continuously transmit and receive spatiotemporal data with neighboring vehicles, thereby establishing a comprehensive 360-degree traffic awareness system. Vehicular Network safety applications facilitate the transmission of messages between vehicles that are near each other, at regular intervals, enhancing drivers' contextual understanding of the driving environment and significantly improving traffic safety. Privacy schemes in VANETs are vital to safeguard vehicles’ identities and their associated owners or drivers. Privacy schemes prevent unauthor

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K R, Suma. "Smart Vehicle Sensor System." International Journal for Research in Applied Science and Engineering Technology 9, no. VIII (2021): 4–7. http://dx.doi.org/10.22214/ijraset.2021.37004.

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Over recent years production of the vehicle around the world has increased rapidly, vehicle theft has become a shared concern for all citizens. Security and safety have always become a necessity. However, present anti-theft systems lack the tracking and monitoring function. The Wi-Fi module enabled cost-effective solution has been made to protect the vehicles. This paper attempts to utilize two physically disjoint units in conjunction with each other, to provide a fool-proof mechanism against vehicle theft. A prototype has been made using Arduino and Wi-Fi module. Android smartphones are used

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Pradnya, Kapadne, Mehetre Sumit, Garpal Athrav, Kankate Vaishanvi, and Koli Sanjay. "Smart Bike Using IoT." International Journal of Innovative Science and Research Technology 8, no. 5 (2023): 636–39. https://doi.org/10.5281/zenodo.7950995.

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People use different vehicles and mean for commuting around the world, but motorcycles are the craziest vehicle used by the young generation. Among different commuting vehicles, motorcycles dominate the roads in many low- and middle-income countries and at the same time, there is a rapid increase in the injuries and deaths of riders. Recentlyin October 2022, the World Health Organization [WHO] and itspartners launched an updated manual to help policymakers in ending the disaster of road traffic deaths and injuries involving motorcycles and other powered two- and three-wheelers. The report says

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M, Vidyashankar. "Enhancing Public Safety and Traffic Management: A Machine Learning Solution for Missing Vehicles and Smart Signaling." International Journal for Research in Applied Science and Engineering Technology 13, no. 2 (2025): 842–45. https://doi.org/10.22214/ijraset.2025.66978.

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This paper presents a system for missing vehicle tracking and smart traffic signaling using machine learning, embedded systems, RFID, and OpenCV. The missing vehicle tracking component uses RFID tags and readers at strategic locations to identify and track vehicles. Upon a theft report, the system activates tracking, utilizing RFID data and potentially integrating with other tracking mechanisms (e.g., GPS if available) to locate the vehicle. The smart signaling system employs OpenCV and cameras to analyze real-time traffic flow. Machine learning algorithms process this visual data to predict c

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Leeks, Harry. "Smart Electric Vehicle Charging." ITNOW 61, no. 4 (2019): 12–13. http://dx.doi.org/10.1093/itnow/bwz092.

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Abstract What does IT have to do with the charging of electric vehicles? In this article, Harry Leeks, a graduate IT Analyst at National Grid, explains how IT plays a pivotal role in the electric vehicle charging market.

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Narmadha, R., R. Madhav, D. Barath, S. Kiruthika, and J. Keerthana. "Smart Moving Vehicle Detection System." Journal of Computational and Theoretical Nanoscience 17, no. 4 (2020): 1758–63. http://dx.doi.org/10.1166/jctn.2020.8438.

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In Vehicle detection is a computer skill that determines the locations, direction and speed of running vehicles in arbitrary (digital) images. Using vehicle features and ignores anything else, such as buildings, trees and bodies. Vehicle detection is currently an active research area in the computer vision community. Automobile localization and detection are frequently the primary step in bids such as face gratitude, video observation, vehicle computer interface and image database administration. Speed and tracking vehicle shapes is a prerequisite for recognition and/or vehicle features analys

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Phillips, Anthony M., Ryan A. McGee, Johannes G. Kristinsson, and Hai Yu. "Smart, Connected and Electric." Mechanical Engineering 135, no. 03 (2013): S4—S9. http://dx.doi.org/10.1115/1.2013-mar-4.

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This article introduces opportunities that are seen at the intersection of electrification, connectivity, and smart controls in the automobile industry. Computational Intelligence provides the vehicle the ability to reason, adapt, and learn based on historical usage data, the present operating conditions, and the predicted future states. Modern automobiles continue to grow in complexity and sophistication. Electrified powertrains now provide vastly improved fuel efficiency by utilizing high-voltage systems to overcome some of the shortcomings of traditional combustion engines. Smart controls h

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Gupta, Rajesh Kumar, L. N. Padhy, and Sanjay Kumar Padhi. "Smart Driving System for Improving Traffic Flow." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 7 (2017): 236. http://dx.doi.org/10.23956/ijarcsse/v7i7/0174.

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Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay. For th

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YAO, Yiwei, Yongjun WANG, Xiaoyan ZHANG, et al. "Smart vehicle for smart city." SCIENTIA SINICA Informationis 46, no. 5 (2016): 551–59. http://dx.doi.org/10.1360/n112015-00294.

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Ravi Kumar Palla, Chonika Molli, Gowthami Narayanasetti, Dwarakesh Malla, Sai kiran Katiki, and Venkata Mani Gopal. "Vehicle parking: A smart solution." Global Journal of Engineering and Technology Advances 13, no. 3 (2022): 066–71. http://dx.doi.org/10.30574/gjeta.2022.13.3.0209.

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The system proposed in this paper provides an effective solution in finding the vacant space and manages the vehicles entering in and out of parking area. The system consists of Arduino Uno, Liquid Crystal Display (LCD), Servo motor and Infrared (IR) Sensors. Two IR Sensors placed just before and after the entrance of the gate which detects the motion of the vehicle either entering or leaving the gate or slot area. The Arduino Uno, a microcontroller counts the number of available slots based on the entry or exit of the vehicle and the state of each slot i.e., either the slot is empty or full a

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Ravi, Kumar Palla, Molli Chonika, Narayanasetti Gowthami, Malla Dwarakesh, kiran Katiki Sai, and Mani Gopal Kammila Venkata. "Vehicle parking: A smart solution." Global Journal of Engineering and Technology Advances 13, no. 3 (2022): 066–71. https://doi.org/10.5281/zenodo.7680584.

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The system proposed in this paper provides an effective solution in finding the vacant space and manages the vehicles entering in and out of parking area. The system consists of Arduino Uno, Liquid Crystal Display (LCD), Servo motor and Infrared (IR) Sensors. Two IR Sensors placed just before and after the entrance of the gate which detects the motion of the vehicle either entering or leaving the gate or slot area. The Arduino Uno, a microcontroller counts the number of available slots based on the entry or exit of the vehicle and the state of each slot i.e., either the slot is empty or full a

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Youcef, BOT, YOUSFI Abdelkader, and ALLALI Ahmed. "Smart Control of the Bidirectional Energy Exchange of Electric Vehicles With the Electrical Network." INTERNATIONAL JOURNAL OF ADVANCED STUDIES IN COMPUTER SCIENCE AND ENGINEERING (IJASCSE) Vol.11, No.12 (2022): 29–35. https://doi.org/10.5281/zenodo.7598791.

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<strong>INTERNATIONAL JOURNAL OF ADVANCED STUDIES IN COMPUTER SCIENCE AND ENGINEERING (IJASCSE)</strong> VOLUME 11 ISSUE 12, 2022 <em><strong>Abstract:</strong> The democratization of plug-in hybrid vehicles as well as purely electric vehicles implies a surplus of demand on the distribution networks. Vehicle-to-Grid aims to meet this increased demand by using vehicles no longer as simple loads for the electricity network but as players carrying out two-way energy exchanges. The work presented in this article proposes a real-time “Grid-to-Vehicle/Vehicle-to-Grid” control algori

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Roseline, Dr S. "Resolving Complexities in the Integration of Autonomous Vehicle." International Scientific Journal of Engineering and Management 03, no. 04 (2024): 1–9. http://dx.doi.org/10.55041/isjem01660.

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Smart vehicles become increasingly prevalent, there is a growing need for sophisticated monitoring systems that go beyond basic parameters. Current Smart EV monitoring systems often lack features that address critical aspects such as engine temperature, drunk and drive prevention, and immediate accident response. There is a pressing need for an all-encompassing monitoring system that enhances both vehicle performance and user safety. This project introduces an advanced Smart E-Vehicle Monitoring System designed to offer a comprehensive suite of features, including engine temperature monitoring

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Ansari, t. Shamaila. "Smart Vehicle Assistant." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43302.

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Driver safety is a prime challenge in present day transportation systems, in which factors inclusive of sleep, sur- roundings, and vehicle dynamics considerably have an impact on site visitors accidents. This paper provides an incorporated machine, with AI and includes a proposal that integrates superior pc imaginative and prescient, system studying algorithms and real-time for statistics processing In addition to dates detected through landmark evaluation, vehicles that detection using latest object detection models inclusive of YOLO and lane departure warnings the usage of convolutional neur

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RAM VARA PRASAD, B., CH PRASANTHI, G. JYOTHIKA SANTHOSHINI, K. J. S. V. KRANTI KUMAR, and K. YERNAIDU. "SMART ELECTRICAL VEHICLE." i-manager's Journal on Digital Signal Processing 8, no. 1 (2020): 7. http://dx.doi.org/10.26634/jdp.8.1.17347.

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Balog, Michal, Žofia Šimeková, and Pavol Semančo. "Smart Vehicle Railroad." Applied Mechanics and Materials 708 (December 2014): 148–52. http://dx.doi.org/10.4028/www.scientific.net/amm.708.148.

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Radio Frequency Identification (RFID) technology introduces the way of automated data collection, and processing to improve accuracy of processed data. In the present time possibilities in development and application of RFID technologies are almost limitless. Increasing expansion of RFID technology in almost any industry, where the RFID tag can be put on any product or material or component is an evidence of the previous assertion. Apart from technical aspects, i.e. security, the financial effect of the RFID technology implementation is also relevant in rail freight transport. Using this techn

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S.Bharath, Ram. "SMART VEHICLE PARKING." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 3 (2016): 420–23. https://doi.org/10.5281/zenodo.47572.

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The goal of this project is to count the number of empty car parking areas and to display them in a Website. This system consists of sensors attached to several parking areas. These sensors located in different parking area’s detects the presence of vehicle and sends information to Microcontroller, which calculates the number of available empty parking areas and  uploads them in a website. This basically works on the principle of Internet of Things here the sensors are connected to internet.

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Jung, In Hwan, Jae Moon Lee, and Kitae Hwang. "Smart Parking Management System Using AI." Webology 19, no. 1 (2022): 4629–38. http://dx.doi.org/10.14704/web/v19i1/web19307.

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This paper is aimed to introduce a smart parking lot management system using multiple cameras and artificial intelligence technique. When a vehicle enters a parking lot, it recognizes the vehicle number using embedded camera, tracks which parking space the vehicle is parked in, and updates parking space information. In addition, using a surveillance camera images, it has been also implemented to detect collision accidents that may occur while the vehicle is moving in the parking lot. Vehicle number recognition system uses OCR technique and is implemented on a Raspberry system. By managing the

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Tu, Haoran. "An overview of the development of intelligent materials and active vibration isolation systems for vehicles." Journal of Physics: Conference Series 2649, no. 1 (2023): 012020. http://dx.doi.org/10.1088/1742-6596/2649/1/012020.

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Abstract Intend to reduce the impact of external vibrations on the smoothness of automotive precision instruments and vehicles and to improve the operational accuracy of automotive precision instruments and the comfort of passenger vehicles, vibration isolation technologies are used and active control systems are applied to vibration isolation systems. The extensive use of smart materials in vibration isolation systems has enabled the design of vehicle structures based on smart materials to meet the suppression of vehicle vibrations well. This paper reviews the application of commonly used sma

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Tarulescu, Radu, Stelian Tarulescu, Cristian Leahu, and Marius Olaru. "Photovoltaic system for E-Smart electric vehicle." IOP Conference Series: Materials Science and Engineering 1220, no. 1 (2022): 012009. http://dx.doi.org/10.1088/1757-899x/1220/1/012009.

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Abstract The vehicles relied on fossil fuels are rapidly being replaced by electric and plug-in hybrid vehicles. But these types of vehicles are still faced with the problem of energy availability. The abundance of solar radiation and its use as the power source in electric vehicles is a necessary condition for environmental pollution limitation. In this study, the authors present photovoltaic systems used as an electricity supply for E-Smart electric vehicles. E-Smart is an electric vehicle obtained through conversion, of a Smart ForTwo City vehicle, from the internal combustion propulsion sy

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Chopra, Varun. "Cyber Intelligence in Smart Vehicles." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 3 (2021): 144–51. http://dx.doi.org/10.35940/ijrte.c6464.0910321.

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In the embryonic stage, the usage of vehicle tracking systems were primarily restricted to getting the geographical location of the vehicular units. This scenario, however, was not perennial and with the escalation from a rudimentary stage to a highly complex archi- tecture for vehicular administration that we witness today, the standards for the vehicles security have also become monumental. With the development of V2X communications, the gamut of facilities provided by smart vehicle services has expanded prodigiously. These technological advancements, however have come at a cost. The gargant

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Varun, Chopra. "Cyber Intelligence in Smart Vehicles." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 3 (2021): 144–51. https://doi.org/10.35940/ijrte.C6464.0910321.

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In the embryonic stage, the usage of vehicle tracking systems were primarily restricted to getting the geographical location of the vehicular units. This scenario, however, was not perennial and with the escalation from a rudimentary stage to a highly complex archi- tecture for vehicular administration that we witness today, the standards for the vehicles security have also become monumental. With the development of V2X communications, the gamut of facilities provided by smart vehicle services has expanded prodigiously. These technological advancements, however have come at a cost. The gargant

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B, Sandeep, Dr K. S. Keerthiprasad, Manuraj D C, Rakshith Gowda M, and B. L. Manohara. "Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 11, no. 7 (2023): 589–99. http://dx.doi.org/10.22214/ijraset.2023.54718.

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Abstract: In many situations, the people owning vehicles should leave their vehicles parked for couple of days to travel by other means of transportation (Flights from International Air ports). Sometimes the vehicles get damaged and they even get stolen. The vehicles needed to be parked in specified area safety. Keeping the above problem in mind, our research work proposes an idea of smart parking system. The user shall be given a slot and an admin card of the parking lot after making the online payments. The user can use the admin card to access the parking lot. The door opens if the admin ca

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Shrishail Hatti. "A Study on Latest trends in Automobile Industries with Reference to Electric Vehicles and Smart Grids." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 08 (2024): 2779–85. http://dx.doi.org/10.47392/irjaem.2024.0404.

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Automobile is trending now a day because every use personal vehicle for travelling and this paper reveals some of the aspects about the one of the personal vehicles i.e Electric Vehicle and further about Smart grids for that electric vehicle. This is about how Electrical Vehicles can contribute to grid stabilization, simulation-based research for smart charging, grid communication, block chain based technology for Electric Vehicles with the purpose of achieving the international environmental and sustainable goals. Smart grid and future electric vehicle is the most emerging issues that are int

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Memon, Nisar, Shahzad Memon, Khalil Khoumbati, and Mudasir Ahmed Memon. "A Comprehensive Security Risk Assesment Framework SRAF_IoV for Internet of Vehicles." Asian Bulletin of Big Data Management 4, no. 3 (2024): 130–42. http://dx.doi.org/10.62019/abbdm.v4i3.227.

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The advancement in digital world have led to the development of smart vehicles that connect to the Internet of Vehicles (IoV) Infrastructure. These smart vehicle also connects and communicate with other vehicles, and their connected components. Once connected, they can share information such as speed, direction, and distance between vehicles.IoV enhances traffic infrastructure by reducing congestion and incidents, ultimately improving road safety within highways and metropolitan cities. However, when smart vehicles use IoV to share data through vehicle-to-vehicle (V2V), Vehicle to Infrastructu

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Rathod, Nirmit. "Traffi: Smart Surveillance for Roads." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 2242–48. https://doi.org/10.22214/ijraset.2025.67767.

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Vehicle detection and counting play a crucial role in intelligent transportation systems, traffic monitoring, and urban planning. Traditional methods for vehicle detection often struggle with accuracy and real-time performance, especially in dynamic environments. With the advancement of deep learning, object detection models like YOLOv4 (You Only Look Once) have significantly improved detection speed and accuracy. Coupled with OpenCV, a powerful computer vision library, YOLOv4 enables efficient vehicle detection and tracking in real-world scenarios. In this work, we implement a vehicle detecti

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Chen, Yuchu, Chang Liu, and Ruicong Wang. "Smart Design of Modern Electric Vehicles." Highlights in Science, Engineering and Technology 37 (March 18, 2023): 55–63. http://dx.doi.org/10.54097/hset.v37i.6039.

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This article is about the battery of electric vehicles since the battery is the power of the electric vehicle, which is the heart of the electric vehicles. The battery takes an important place in electric vehicles, also the main difference between gasoline vehicles is one has gasoline another one has a battery. Battery control almost all the things on the electric vehicles, it also included the speed and continuation which SUVs, that kind of vehicles can run far away than the normal internal combustion vehicles; Noise reducing using the Model Y materials for the electric vehicles to reduce the

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S, Thylashri, Manikandaprabu N, Jayakumar T, Vijayachitra S, and Kiruthiga G. "Effective Techniques for Pedestrian Detection in Smart Autonomous Vehicles." Webology 18, no. 05 (2021): 1176–83. http://dx.doi.org/10.14704/web/v18si05/web18298.

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Pedestrians are essential objects in computer vision. Pedestrian detection in images or videos plays an important role in many applications such as real-time monitoring, counting pedestrians at various events, detecting falls of the elderly, etc. It is formulated as a problem of the automatic identification and location of pedestrians in pictures or videos. In real images, the art of pedestrian detection is an important task for major applications such as video surveillance, autonomous driving systems, etc. Pedestrian detection is also an important feature of the autonomous vehicle driving sys

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Selden, Pema, Dechen Wangmo, Kinley Tenzin, Bijay Kumar Darjee, and Tsheten Dorji. "Smart Vehicle Identification System using RFID Technology." Zorig Melong | A Technical Journal of Science, Engineering and Technology 5, no. 1 (2021): 13–17. https://doi.org/10.17102/zmv5.i1.003.

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With increase in number of vehicles in Bhutan, some of the major problems faced are the waste of the time and effort of drivers and concern officials on duty for doing manual registration of the vehicle details at the checkpoints and also it is difficult to keep track of the records related to vehicles passing through these entry points for national security reasons. This report presents the development of a prototype of a Smart Vehicle Identification System using RFID technology and its key functionalities. This smart system is proposed as a solution to be used for providing effective and eff

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Wan, Liangtian, Mingyue Zhang, Lu Sun, and Xianpeng Wang. "Machine Learning Empowered IoT for Intelligent Vehicle Location in Smart Cities." ACM Transactions on Internet Technology 21, no. 3 (2021): 1–25. http://dx.doi.org/10.1145/3448612.

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Intelligent Transportation System (ITS) can boost the development of smart cities, and artificial intelligence and edge computing are key technologies that support the implementation of ITS. Vehicle localization is critical for ITS since the safety driving and location-aware serves highly depend on the accurate location information. In this article, we construct a vehicle localization system architecture composed of multiple Internet of Things (IoT) with arbitrary array configuration and a large amount of vehicles in smart cities. In order to deal with the coexisting of circular and non-circul

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N, Shalini. "Smart Remote Transit Vehicle Monitoring with Emission Alert and Secured Access Using IOT." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 4192–95. http://dx.doi.org/10.22214/ijraset.2023.54104.

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Abstract: The research paper focuses on addressing automobile theft by proposing a framework utilizing the Internet of Things (IoT), GPS, and GSM technologies. This system allows vehicle owners to track and monitor their vehicles at any time from anywhere, improving security against professional thieves. The IoT sends information about the vehicle's status to the guardian or owner, while GPS provides the vehicle's current location. In case of theft, the fuel supply can be gradually cut off by sending a message, disabling the vehicle, and updating data to the Google Firebase server. An RFID car

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Mansour, Ayman M. "Cooperative Multi-Agent Vehicle-to-Vehicle Wireless Network in a Noisy Environment." International Journal of Circuits, Systems and Signal Processing 15 (February 22, 2021): 135–48. http://dx.doi.org/10.46300/9106.2021.15.15.

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With the rapid development of vehicle communication and the goal of self-driving vehicle, research in this area is still ongoing, as car companies aspire for more studies and effective communication methods between vehicles. In this research, we have developed an intelligent, innovative and fully integrated multi agent model, which is used for vehicle-to-vehicle communications. The developed model is supported by an intelligent system based on a Nonlinear External Neural Network (NARX) and signal estimation theory. The system is built using real vehicles sensors, Arduino, GSM and RF technologi

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Allam, Mohammed Shaibaz. "Smart Vehicle Service Management System Using IoT." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 3872–77. http://dx.doi.org/10.22214/ijraset.2022.44767.

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Abstract: To ensure the proper operation and efficient operation of the vehicle, regular vehicle service is necessary to monitor various parts of the vehicle. This paper “Smart Vehicle Service Management System using IoT” is being proposed to detect some problems in vehicle and also it provides a platform to book online service to the vehicles. It sends an alert message in form of SMS to the user if any problem is detected and suggests that servicing to vehicle is now required. The system is integrated with different sensors like FSR, adxl, DHT11, level etc to detect problem in vehicle and bei

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SMART, ROAD SYSTEM FOR ELECTRIC VEHICLE. "SMART ROAD SYSTEM FOR ELECTRIC VEHICLE." Electric vehicle, Battery, Roller, Dynamo, Led. 5, no. 4 (2018): 72–76. https://doi.org/10.5281/zenodo.1234917.

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The main objective of Smart Road for Electric Vehicle System is to charge the battery of electrical vehicle running on Smart road by using wireless charging. The term refers to the ability to charge a vehicle while it is in motion.  The objective is to demonstrate charging of electric and plug-in vehicle batteries, taking into account infrastructure challenges and communication requirements between the vehicles and charging sources with the purpose to extend the range of the vehicle. In 2012, the US Energy Information Administration reported that the US imported about 45% of the petroleum

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S, Shahanas. "Smart Parking Your Parking Assistant." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46338.

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Abstract—Smart Park It is a software solution designed to enhance the parking experience in locations with a high volume of vehicles, such as airports, shopping malls, and other busy venues. Upon entering a mall, drivers must find a parking space for their motorcycles or cars, often relying on security personnel to assist in locating an available slot. Retrieving a vehicle from a crowded parking area can be challenging, as it requires remembering the exact location of the parked vehicle. While this task may be manageable in smaller facilities, it becomes increasingly difficult in larger enviro

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V., Geetha, Gomathy C.K., Pavan Manikanta Kiran Maddu, and Rajesh Gandikota. "The Implementation of Fleet Monitoring System using Mobile based Software." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 2264–68. https://doi.org/10.35940/ijeat.D9033.049420.

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Fleet management is an emerging area in analysis and development nowadays. Large scale Companies, emergency forces must to keep track of their trucks and cars and finding out where the vehicle is at the current timing. Our system includes two mobile applications one for organization head i.e., Smart Fleet and other for the driver of the vehicle (smart driver). This system enables the organization to keep track of their vehicles all the time. This is done by the geolocation of the mobile phone in which smart driver application is installed is shared to the mobile phone in which smart fleet appl

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Zhang, Cong, Peiqian Liu, and Shan Ao. "Vehicle reputation value management scheme based on data uplink rules." Journal of Computing and Electronic Information Management 16, no. 3 (2025): 96–104. https://doi.org/10.54097/94c6gm03.

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Aiming at the security problems caused by the long-standing lack of trust between vehicles in the Internet of vehicles, a vehicle reputation-value management scheme based on data uplink rules is designed. value management scheme based on data uplink rules is designed. First, users release specific tasks according to their needs. First, users release specific tasks according to their needs. The blockchain generates smart contracts and conducts broadcast transactions within the scope of RSU to find vehicles to complete the tasks. The blockchain generates smart contracts and conducts broadcast tr

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Savale, Prof Vaishali. "IoT based Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 11–13. http://dx.doi.org/10.22214/ijraset.2023.52579.

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Abstract: The number of vehicles keeps increasing each passing day and due to the limited parking space, parking has been a real nuisance. Our project which is based on the technology of “Internet of things”, aims to make parking vehicle easy and efficient. The benefit of our approach is that it allows us to find a parking space in parking area efficiently. Our project can also collect useful data like the amount of vehicle in the parking area, peak parking time etc. Parking will be digitalized and human efforts can be greatly reduced.

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Ismail, Ahsiah, Amelia Ritahani Ismail, Nur Azri Shaharuddin, et al. "Vision-Based Vehicle Classification for Smart City." Aptisi Transactions on Technopreneurship (ATT) 7, no. 2 (2025): 441–53. https://doi.org/10.34306/att.v7i2.446.

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Vehicle detection systems are essential for improving traffic management, enhancing safety, supporting law enforcement, facilitating toll collection, and contributing to smart city initiatives through real-time monitoring and data analysis. With the rapid growth of smart city technologies, the need for efficient, scalable, and high-accuracy vehicle detection models has become increasingly critical. This study aims to propose an advanced vehicle detection system using Convolutional Neural Networks (CNNs) in combination with the YOLOv5 model, which is known for its high-speed performance and sup

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Parwateeswar Gollapalli, Neha Muthyala, Prashanth Godugu, Nikitha Didikadi, and Pavan Kumar Ankem. "Speed sense: Smart traffic analysis with deep learning and machine learning." World Journal of Advanced Research and Reviews 21, no. 3 (2023): 2240–47. http://dx.doi.org/10.30574/wjarr.2024.21.3.0896.

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The main reason for many road accidents in modern times is speeding and negligent driving. This project aims to identify vehicles that exceed the speed limit and employs a machine learning algorithm for this purpose. It eliminates the need for manual checks by the police to identify speeding vehicles. The project involves vehicle detection and tracking as key steps, enabling us to classify the type of vehicle, their respective speeds, and the count of vehicles passing through given region. Counting the number of vehicles helps manage traffic, allowing us to identify peak traffic times and take

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Parwateeswar, Gollapalli, Muthyala Neha, Godugu Prashanth, Didikadi Nikitha, and Kumar Ankem Pavan. "Speed sense: Smart traffic analysis with deep learning and machine learning." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 2240–47. https://doi.org/10.5281/zenodo.14176162.

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The main reason for many road accidents in modern times is speeding and negligent driving. This project aims to identify vehicles that exceed the speed limit and employs a machine learning algorithm for this purpose. It eliminates the need for manual checks by the police to identify speeding vehicles. The project involves vehicle detection and tracking as key steps, enabling us to classify the type of vehicle, their respective speeds, and the count of vehicles passing through given region. Counting the number of vehicles helps manage traffic, allowing us to identify peak traffic times and take

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Niture, Deeplaxmi V., Vivekanand Dhakane, Piyush Jawalkar, and Ankit Bamnote. "Smart Transportation System using IOT." International Journal of Engineering and Advanced Technology 10, no. 5 (2021): 434–38. http://dx.doi.org/10.35940/ijeat.e2870.0610521.

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In this paper a Smart Vehicle Assistance and Monitoring system (SVAMS) is presented. SVAMS is an intelligent transportation system (ITS), developed to tackle various traffic related issues. It is a traffic management, monitoring and optimization solution in which all the vehicles are interconnected through Zigbee and are monitored and assisted centrally, by a data center. The system has two parts; one part is mounted in/on the vehicle and the other part is at the data centre. Part one collects data from various sensors and transmits it to central data centre. All the data will be stored on clo

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Deeplaxmi, V. Niture, Dhakane Vivekanand, Jawalkar Piyush, and Bamnote Ankit. "Smart Transportation System using IOT." International Journal of Engineering and Advanced Technology (IJEAT) 10, no. 5 (2021): 434–38. https://doi.org/10.35940/ijeat.E2870.0610521.

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In this paper a Smart Vehicle Assistance and Monitoring system (SVAMS) is presented. SVAMS is an intelligent transportation system (ITS), developed to tackle various traffic related issues. It is a traffic management, monitoring and optimization solution in which all the vehicles are interconnected through Zigbee and are monitored and assisted centrally, by a data center. The system has two parts; one part is mounted in/on the vehicle and the other part is at the data centre. Part one collects data from various sensors and transmits it to central data centre. All the data will be stored on clo

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Barth, Matthew, Michael Todd, and Susan Shaheen. "Intelligent Transportation Technology Elements and Operational Methodologies for Shared-Use Vehicle Systems." Transportation Research Record: Journal of the Transportation Research Board 1841, no. 1 (2003): 99–108. http://dx.doi.org/10.3141/1841-11.

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There has been significant interest and activity in shared-use vehicle systems as an innovative mobility solution. Shared-use vehicle systems, that is, carsharing and station cars, consist of a fleet of vehicles used by several different individuals throughout the day. Shared-use vehicles offer the convenience of a private automobile and more flexibility than public transportation alone. From the 1990s to today, varying degrees of intelligent transportation system technologies have been applied to shared-used systems, providing better manageability and customer service. Many shared-use vehicle

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Souissi, Ahmed Saad Eddine, Habib Kraiem, Aymen Flah, and Amjad El Madani. "Improving Electric Vehicle Autonomy in the Smart City Concept." Engineering, Technology & Applied Science Research 14, no. 2 (2024): 13299–304. http://dx.doi.org/10.48084/etasr.6941.

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Organizing automobiles in a city is challenging due to the sensitive data that need to be disclosed. Information that can be utilized to identify a car and provide some useful characteristics about it is among the large amount of data that can be collected from an automobile. This operation will be easier if the vehicles are placed on a specific platform based on the smart city concept. Even if sensors and cameras are installed around the roads and the city, having the vehicle information will be more useful. The current study tries to demonstrate how it is feasible to improve vehicle autonomy

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Andrian, Taufan Zandy, and Uke Kurniawan Usman. "Vehicle Monitoring with Web-Based Applications Utilizing High-Precision Positioning." International Conference on Information Science and Technology Innovation (ICoSTEC) 2, no. 1 (2023): 134–37. http://dx.doi.org/10.35842/icostec.v2i1.51.

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Motorized vehicles have facilitated various human activities in everyday life. As technology develops, various features in driving have been added to the vehicle itself. Starting with the aim of adding comfort, even to increase the safety in the use of vehicles. In the current digital era, the vehicle monitoring process has been widely applied, especially in a number of smart vehicles that are integrated with a monitoring system from various vendors. A web-based application or commonly known as webapp, designed by PT. Telkom Indonesia, Tbk. named IndiCar, is an example of a monitoring system,

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Babar, Prof Madhuri, Sanket Meshram, Dhanashri Gulhane, Jagdish Kore, Harshad Nikhare, and Aditi Salodkar. "ANTI-THEFT ALERT SYSTEM FOR SMART VEHICLES USING MOBILE APP." International Journal of Engineering Applied Sciences and Technology 6, no. 6 (2021): 330–35. http://dx.doi.org/10.33564/ijeast.2021.v06i06.048.

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Theft security of vehicle in common parking places has become a matter to concern. To overcome this problem, we have an idea. There is a system that doesn’t allow tampering with ignition systems of vehicles, it captures the picture of a thief and also shares the location. The system will warn the mobile-phone about the tampering of the vehicles ignition key knob etc. when the parking mode is ON in our app. There is mobile application for warning the owner/mobile-phone. If the vehicle is lifted during parking mode, the app will alert the owner/mobile-phone through the app and also track the veh

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