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Journal articles on the topic 'Vehicle System'
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1
Mudda, Avinash, P. Sashi Kiran, Ashish Kumar, and Venkata Sreenivas. "Vehicle Allowance System." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (April 30, 2023): 1085–89. http://dx.doi.org/10.22214/ijraset.2023.50169.
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Abstract: License plate detection is an image processing technology that uses a license (number) plate for vehicle identification. The objective is to design and implement an efficient vehicle identification system that identifies the vehicle using the vehicle’s license plate. The system can be implemented at the entrance of parking lots, toll booths, or any private premises like colleges, etc. to keep records of ongoing and outgoing vehicles. It can be used to allow access to only permitted vehicles inside the premises. The developed system first captures the image of the vehicle’s front, then detects the license plate, and then reads the license plate. The vehicle license plate is extracted using image processing of the image. Optical character recognition (OCR) is used for character recognition. The system is implemented using OpenCV and its performance is tested on various images. It is observed that the developed system successfully detects and recognizes the vehicle license plate. To recognize License number plates using the Python programming language. We will utilize OpenCV for this project to identify the license number plates and the python py-tesseract for the characters and digits extraction from the plate. We will build a Python program that automatically recognizes the License Number Plate
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Vasiljević, S., B. Aleksandrović, J. Glišović, and M. Maslać. "Regenerative braking on electric vehicles: working principles and benefits of application." IOP Conference Series: Materials Science and Engineering 1271, no. 1 (December 1, 2022): 012025. http://dx.doi.org/10.1088/1757-899x/1271/1/012025.
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Abstract The application of electric vehicles leads to a change in the principle of operation and functioning of some systems in the vehicle, which also lead to a change in the concept of the vehicle itself. One of those systems that has a new concept, which differs from vehicles powered by IC engines, is the braking system. The previous function of the braking system was to stop the vehicle, i.e. to reduce the speed of the vehicle in a safe way. In the case of electric vehicles, the friction brakes were retained, with the addition of a regenerative braking system that has the role of replenishing the vehicle's batteries. The regenerative braking system has the role of converting the vehicle's kinetic energy into electrical energy that recharges the batteries. This system is already used today on full electric and hybrid vehicles, i.e. on vehicles powered by an electric motor. The benefits of regenerative braking are reflected on the fact that the vehicle batteries are recharged during braking, vehicle maintenance costs are reduced, the service life of discs and drum brakes on the vehicle is extended, brake non-exhaust emission is reduced, and heat energy emission is reduced, too.
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Bharathi, V. C. "Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 20, 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 their vehicles into organization’s premises. Present days in parking areas they just maintain the vehicles just with tokens and they have records of vehicle details in books so that during some critical situations like police enquiry of terrorist car or vehicle missing that case it is difficult to find the details of particular vehicle. But with our parking management system it is easy to find within 1 to 2 seconds. By parking the vehicle in public place the vehicle can be claimed by other person but in this case there is no such problem and no need to give fine for anything we can park our vehicle with securely.
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Abd Elrhman, Omer Ali Abubakr, Asim Mohammed Ahmed, Tarig Hyder Mekki, and Ghassan Mohammed Taha. "Android Based Vehicle Tracking System." ADVANCES IN BUSINESS RESEARCH INTERNATIONAL JOURNAL 1, no. 2 (December 31, 2015): 35. http://dx.doi.org/10.24191/abrij.v1i2.10062.
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Android, as an operating system, has provided users with great opportunity to innovate and get things done in a mobile device. This paper presents how to use the GPS technology in Android devices to complete an interactive application which can be used to monitor a fleet of vehicles and display their positions on Google Maps. By using SMS messages, this information can be transmitted to the server. It provides a telemonitoring system for distribution or transportation vehicles owned by a specific company. The whole system is made of two key parts. The first one is the client, which represents an Android application that is installed in the vehicle. During a vehicle’s motion, its location can be reported by SMS messages. The second is the server, which is a computer programme representing a map using Google Maps to show the last known locations of all tracked vehicles. The current system is able to provide the monitoring process from anywhere. The purpose of this system is to use the Android platform to provide the following features: i) Location information (longitude, latitude). ii) Real time tracking using SMS. iii) Map View of all vehicles’ locations. This system is needed by many companies to monitor illegal and unethical use of their vehicles. It also provides assurance that the location of the vehicle is known in the case of robbery.
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R, SathisKumar. "Enhanced Autonomous Speed Control System for Integrated Cars." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (May 11, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem33627.
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The Automated Vehicle Speed Control System (AVSCS) is an embedded framework that utilizes specialized hardware and software components to automatically regulate a vehicle's speed. This system is designed to be implemented in a variety of vehicles, including cars, trucks, and autonomous vehicles, to enhance safe and efficient driving. The AVSCS comprises several essential elements: sensors, a processor or microcontroller, a control calculation algorithm, and a user interface. The sensors gather real-time data about the vehicle's current speed, weather conditions, and surrounding road environment, including wheel speed, GPS, radar, LIDAR, and cameras. The microcontroller or processor processes the sensor data and employs control algorithms, such as PID (Proportional-Integral-Derivative) controllers or advanced Model Predictive Control (MPC) techniques, to calculate the optimal vehicle speed. This information is then used to adjust the throttle or braking mechanisms accordingly. Additionally, the user interface allows drivers to customize the system or set their desired speed preferences, providing a seamless and personalized driving experience. The integration of the AVSCS into various vehicle types can significantly increase security, streamline traffic,, and reduce energy consumption, making it a crucial component of the connected and autonomous vehicle ecosystem. Keywords: vehicle speed regulator, GPS, radar, LIDAR, and cameras
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Ma, Jiandong. "Design of Intelligent Vehicle Monitoring System Based on ZigBee." MATEC Web of Conferences 173 (2018): 02026. http://dx.doi.org/10.1051/matecconf/201817302026.
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In order to meet the needs of real-time positioning and remote dispatching of vehicle, this paper designs a ZigBee-based embedded vehicle terminal and the corresponding ZigBee-GPRS information communication network in hardware and software. With LPC2366 processor and CC2430 RF chip as core, the vehicle terminal acquires the vehicle‘s status in cycle, and completes the vehicle monitoring and scheduling by transmitting data to communication nodes by ZigBee and passing the data on to the monitoring center by GPRS. This vehicle terminal is characterized by small size, low energy consumption and ideal communication distance, which makes the monitoring center effectively monitor and schedule the vehicles.
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Koppisetti, Harshit Surya. "Number Plate Recognition System using MATLAB." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 4851–54. http://dx.doi.org/10.22214/ijraset.2021.35983.
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This paper presents a system called NPR (Number Plate Recognition) which is based on image processing and is used to detect the number plates of vehicles and process them to record the information. In a fast-growing world, it has become almost impossible to track illegal vehicles and store vehicle information. This is eventually leading to a rise in the crime rate, especially due to manual errors. The proposed system first captures the vehicle image and the vehicle number plate region is extracted using Image Segmentation in an image. The resulting data is then used to compare with the records on a database to come up with specific information like the vehicle's owner, place of registration, address, etc. Further, the system is implemented and simulated in MATLAB for studying feasibility and accuracy on a real image.
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Nag, Shantanu. "Vehicle Renting System." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (April 30, 2024): 4507–14. http://dx.doi.org/10.22214/ijraset.2024.60989.
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Abstract: The development of a vehicle rental system aims to provide customers worldwide with the convenience of booking vehicles online. This integrated system automates manual processes, allowing customers to easily input their vehicle preferences and location. The user-friendly interface of the Super vehicle Rental System enhances user experience, making it simple for customers to interact with the platform. Administrators have the capability to manage rentals, bookings, customer inquiries, and vehicle information efficiently. Customers can access vehicle models, descriptions, and prices, register, and view rental plans through a responsive website accessible on various devices. The system, built using PHP, DBMS, and XAMPP, offers a comprehensive solution for vehicle rental services, ensuring a seamless experience for both customers and administrators.
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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 technologies. The system is tested by applying different scenarios and observing vehicle behaviors. The results show that the smart system is able to make the appropriate decision based on both the vehicle's current condition and sensor readings. The developed system is able to operate effectively in a noisy environment in an excellent manner.
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Chen, Xuewen, Huaqing Chen, and Huan Xu. "Vehicle Detection Based on Multifeature Extraction and Recognition Adopting RBF Neural Network on ADAS System." Complexity 2020 (October 6, 2020): 1–11. http://dx.doi.org/10.1155/2020/8842297.
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A region of interest (ROI) that may contain vehicles is extracted based on the composite features on vehicle’s bottom shadow and taillights by setting a gray threshold on vehicle shadow region and a series of constraints on taillights. In order to identify the existence of target vehicle in front of Advanced Driver Assistance System (ADAS) for the extracted ROI, a neural network recognizer of the Radial Basis Function (RBF) is found by extracting a series of parameters on the vehicle’s edge and region features. Using a large amount of collected images, the ROI that may contain vehicles is verified to be effective by extracting composite features of the shadow at the bottom of vehicle and taillights. Based on the positive and negative sample base of vehicles, the neural network recognizer is trained and learned, which can quickly realize network convergence. Furthermore, the vehicle can be effectively identified in the region of interest using the trained network. Test results show that the vehicle detection method based on multifeature extraction and recognition method based on RBF network have stable performance and high recognition accuracy.
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R, Tejashwini, and Dr Subodh Kumar Panda. "Design and Development of Vehicle Theft Detection, Tracking and Accident Identifier System using IoT." Journal of University of Shanghai for Science and Technology 23, no. 07 (July 8, 2021): 420–25. http://dx.doi.org/10.51201/jusst/21/07168.
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Vehicle security is one of the major concerns that the entire world is currently experiencing. People generally own automobiles, yet these automobiles are not always secure. Vehicle theft occurs in parking lots, public places, and other unsafe areas. The vehicle’s manufacturer does not consider the vehicle security system to be a factor in the overall cost of the vehicle. Nowadays, only a few vehicles come equipped with high-priced security systems. Door locking, alarm system, GSM, GPS, and other security features are built into high-end vehicles only. There is a necessity to build a low-cost security system for vehicles that common people can afford it and the manufacture can built-in the security system in a wide range of automobiles. This paper proposed a method for vehicle theft detection, tracking, and accident identification using the Internet of Things.
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Mustafa, Ali, Mohammed I. Aal-Nouman, and Osama A. Awad. "Cloud-Based Vehicle Tracking System." Iraqi Journal of Information & Communications Technology 2, no. 4 (February 23, 2020): 21–30. http://dx.doi.org/10.31987/ijict.2.4.81.
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The need for vehicle tracking system in real time is growth continues due to increase the cases of theft. This type of system in real time needs to transmit large data with huge number of HTTP request to the server to keep tracking and monitoring in real time, thus causes spend extremely high cost every month for transportation the information on tracking vehicles to server therefor the needs for reducing the number of transportation and data size that transmits in each HTTP request to save expenses. This paper designed and implement an integrated vehicle tracking system in real time to track vehicle anywhere and anytime. This system is divided into two parts: vehicle tracking part and monitoring part. Tracking part is represented by installation the electronic devices in the vehicle using modern Global Positioning System (GPS), microcontroller Arduino UNO R3 and SIM800L GSM/GPRS modem. GPS is determined location of the vehicle via received coordinates from satellites such as latitude and latitude with accuracy ranging approximately 2.5 meters; the coordinates faked to add a type of protection to information on vehicles without effecting on characterizing real time tracking before sending it via a General Packet Radio service (GPRS). The monitoring part is in the cloud and will receive the coordinates and displays it on a map in a web page. The main contribution of this system is it reduced data size that sent from in-vehicle device via selected only necessary data for tracking vehicle from NEMA sentences of GPS and reduced number of HTTP request that sent to remote server via constrain the transmission of information with the movement of vehicles, since when vehicle moved the coordinates each 10s and did not send anything when the vehicle stopped thus will reduce the cost of expenses every month. This system can be utilized to track and monitoring the vehicles of large universities, companies, organization and also can be used in army vehicles and police vehicles.
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Pushpakanth, Abhishek, and Mangesh N. Dhavalikar. "Development of Steering Control System for Autonomous Vehicle." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 2 (July 30, 2022): 50–53. http://dx.doi.org/10.35940/ijrte.b7105.0711222.
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Automation can help us to reduce the number of crashes on our roads. Through research it is identified that 94 percent of the accidents that occur are because of driver behavior or error as a factor and self-driving vehicles can help reduce driver error. High levels of automation have the potential to reduce risky and dangerous driver behavior and prevent accidents. The main aim is to convert the manual operated steering of the vehicle into fully autonomous steering. The objective of Steering Control System is to control the vehicle’s steering while the vehicle is in motion and also to take accurate decisions while making a turn from the given inputs. The main purpose to develop a steering system for the autonomous vehicle is to replace the manual steering of the vehicle into driverless steering. The steering control is responsible for the vehicle’s steering i.e., at what desired angle the vehicle need to turn. A PID (Proportional Integral Derivative) controller and an encoder is basically used to control the system based on the necessary conditions and requirement’s. For the vehicle’s steering the encoder is used to generate pulses when the steering wheel is turned so that those pulse values can be sent to the DC Motor which is attached to the front axle which is responsible for the vehicle to turn. This autonomous vehicle is a Level-4 automation system and the benefit of this automation is that the vehicle can be even operated in manual mode whenever it’s necessary.
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AL - SMADI, Adnan, Sara AL - ESSA, Shaima MOMANI, and Haneen BANI - SALAMEH. "Vehicle Autonomous Driving System." Eurasia Proceedings of Science Technology Engineering and Mathematics 28 (August 15, 2024): 408–16. http://dx.doi.org/10.55549/epstem.1523618.
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Autonomous vehicles or self-driving cars industry and technology have played an important role in research industry and automotive industry. Autonomous cars are those vehicles have the ability to sense there surrounding and navigate and drive themselves on roads through traffic without human interventions. In other words, they can move from one location to another one without human interaction. In this paper, an autonomous vehicle system prototype is proposed. The vehicle is able to sense its surrounding and keep going on the road on its own through traffic and other barriers such as people and traffic lights. That is, the vehicles are able to drive and detect the road signals and take decision accordingly, whether to continue or to make a turn. The proposed system uses raspberry pi microcontroller and ultrasonic sensors to detect any object, obstacle, or pedestrians in front of the vehicle and to measure the distance. In addition, a raspberry pi camera is connected to the raspberry pi to continuously take pictures of the road. These pictures will be analyzed by the raspberry pi microcontroller. The vehicle is able to reach its destination safely. A self-driving car prototype has been designed and implemented. The porotype autonomous vehicle system was tested and performed as expected.
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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 tracking the signal of any enabled vehicle from any geographical location.
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Alzhrani, Seraj, Mohammed Abdulla, Khalid A. Juhany, and Ibraheem AlQadi. "Effect of Maglev Suspension on the Aerodynamics of Multiple Vehicles Moving in a Low-Pressure Tube." Journal of Physics: Conference Series 2772, no. 1 (June 1, 2024): 012013. http://dx.doi.org/10.1088/1742-6596/2772/1/012013.
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Abstract The concept of high-speed vehicles traveling in a low-pressure closed system has attracted global attention as an innovative, efficient, and safe mode of transport. So far, most the studies on Hyperloop aerodynamics has considered a single vehicle moving in a confined space, but limited work has been devoted to the succession of vehicles system. This paper deals with the analysis of vehicle suspension gap for multiple vehicles system running in a low-pressure environment. The vehicle’s system is traveling at Mach number = 0.7 in a low operating pressure of 10,000 Pa and blockage ratio of 0.36. Each vehicle is equipped with a compressor and jet exit to provide the thrust force. Three running vehicles at various vehicle-to-vehicle distances, Xv (0.25, 0.5, 1, 2Lv), were numerically investigated using RANS. The analysis was carried out at a gap distance of 75 mm. The obtained results showed that the suspension gap significantly impacts the aerodynamic performance of the entire system. The flow structure behind each vehicle was investigated, and its influence on thrust was presented. It was observed that the drag on the trailing vehicle is approximately six times the drag on the leading vehicle. The high drag on the trailing vehicle is attributed to the development of shock waves at its rear part.
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Shekhar, Shashank, Mustafa Kamal, Anurag Joshi, and Ravi Kumar. "Antitheft System in Vehicle with Automatic Headlights." International Journal of Advance Research and Innovation 3, no. 2 (2015): 88–91. http://dx.doi.org/10.51976/ijari.321520.
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Now a day’s we see that vehicles stolen are on the rise and police has registered so many cases of vehicle stolen every day. Ironically, most of the stolen vehicles are not recovered. Hence it has become a serious issue over years. Besides this world has facing a very serious problem due to accidents of vehicles on roads, it causes loss of life and property. Therefore I have come up with a concept of developing a wireless technology based vehicle theft information system to provide security to vehicles from theft. In this concept if someone tries to steal the vehicle then a SMS is send to the owner mobile through GSM technology that your vehicle has been stolen. An added advantage of this system is that the owner can disable the ignition of the vehicle and prevent theft of the vehicle. Also it protects the vehicle from accidents due to glare of eyes of driver by high beam headlights on roads. Since this system contain automatic head light system which can automatically judge when the headlight beam needs to be lowered when some vehicle approaching in front of our vehicle and prevent accidents.
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Topilkin, Pavel. "STUDY OF VEHICLE ELECTRICAL SYSTEM FIRE HAZARD." Problems of risk management in the technosphere 2024, no. 1 (April 26, 2024): 174–81. http://dx.doi.org/10.61260/1998-8990-2024-1-174-181.
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The article examines the change of the probability of an emergency mode (failure) of the vehicle's electrical wiring depending on the time of its operation. We revealed necessity of establishing the wear and operation time of electrical wiring in a vehicle. Emergency modes in the vehicle electrical network have been identified and analyzed. The behavior of some contact connections of a vehicle was studied for an increase in contact resistance. It is concluded that it is necessary to develop deterministic and stochastic mathematical models that describe the state of the vehicle’s electrical network in order to assess its fire hazard.
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R, Lalitha. "Vehicle Number Plate Recognition System to Identify the Authenticated Owner of Vehicles." International Journal of Psychosocial Rehabilitation 24, no. 5 (May 25, 2020): 7102–7. http://dx.doi.org/10.37200/ijpr/v24i5/pr2020719.
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Ali, Farah M., and Nizar H. Abbas. "Adaptive Cruise Control System: A Literature Survey." Journal of Engineering 30, no. 9 (September 1, 2024): 239–72. http://dx.doi.org/10.31026/j.eng.2024.09.12.
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Adaptive cruise control (ACC) assists automobiles in preserving a safe following distance and adhering to speed limits. This advanced driver-assistance system (ADAS) modifies the car's speed to keep a safe gap from oncoming traffic. All vehicle types include combustion engines, pure electric vehicles, hybrid electric vehicles, and methods of operation; controllers are designed to react to cruise control signals and provide an efficient route profile according to the surrounding environment and instantaneous vehicle performance characteristics. ACC uses a perception system to measure the forward vehicle's current distance, speed, and acceleration relative to the host vehicle. Some of these systems use lasers, radar, cameras, or a combination of these sensors to determine the distance and speed of the leading vehicle. Other systems even use wireless communication to collect data from surrounding vehicles. ACC can help reduce stress on long drives, increase road safety, prevent accidents, and enhance traffic flow energy efficiency. This paper aims to introduce a comprehensive study of the research on ACC and mention different controlling techniques used to deal with the problem. Furthermore, a discussion of each method with its cons and pros is mentioned too. First, an introduction to the ACC system and control approaches with a brief discussion of their main principle is presented. Next, various application cases of ACC are presented. These applications include lateral dynamics, wireless technology, energy vehicles, navigation data, and practical experimental tests. At last, future guidance and challenges are discussed.
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Singh, Sanjay Kumar, Sanjay Kumar Sharma, and Akhilesh Kumar Verma. "All Wheel Steering System." SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology 7, no. 02 (December 25, 2015): 105–8. http://dx.doi.org/10.18090/samriddhi.v7i2.8634.
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Now a days most of the vehicles are use the two wheel steering system mechanism as their main handling system but, the efficiency of two wheel steering vehicle is proven to be low compared to all wheel steering vehicles. All wheel steering system can be employed in some vehicles to improve vehicle response, increase vehicle stability while moving at certain speed, or to decrease turning radius at low speed. All wheel steering is a technologically, tremendous effort on heavy loaded vehicles. Hence, there is a requirement of a mechanism which result in less turning radius and it can be achieved by implementing all wheel steering mechanism instead of regular two wheel steering.
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Satav, Aalhad, and Nishigandha Patel. "User Interface and AI Navigation System for Autonomous Vehicle." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 2 (July 30, 2022): 122–27. http://dx.doi.org/10.35940/ijrte.b7151.0711222.
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The issue of vehicle accidents due to human error and behavior (rash driving, drink and drive, etc.) is on rising resulting into fatality and economical loss. In order to overcome these issues, the autonomous vehicle is being explored as a probable solution. Driver will be replaced by AI based autonomous system; The main objective is to convert the manual operated EV into autonomous vehicle. The project work is divided into three main parts i.e., Control System for Vehicle Control, AI (Artificial Intelligence) and UI (User Interface). The main objective of User Interface is to give information regarding vehicles health i.e. battery remaining, charging time, distance to be covered, etc. AI will be use as decision making system or we can say brain of the autonomous vehicle. System Control or Vehicle Control System is to control the vehicle’s steering, acceleration and braking system with the help of PID controller while the vehicle is being operated in autonomous mode. The main purpose is to make an autonomous EV for the passengers to go to their selected destination with a single click by selecting destination on display (UI). So the vehicle control is responsible for the vehicle’s steering i.e., at what desired angle the vehicle need to turn, during acceleration the factors that are considered are; at what speed the vehicle needs to move in an straight path or during a turn and the braking system is operated with the help of LIDAR where if it detects an object at what distance it needs to apply the brakes and when to release the brakes. All the factors and conditions required in developing the autonomous vehicle will be considered, as use cases to improve the accuracy of autonomous vehicle, resulting into achieving desired objective of safe travel.
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Ming, Guo. "Exploration of the intelligent control system of autonomous vehicles based on edge computing." PLOS ONE 18, no. 2 (February 2, 2023): e0281294. http://dx.doi.org/10.1371/journal.pone.0281294.
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The development of science and technology continues to promote the progress of society. The current intelligence and automation technology has become widely used in society. To this end, this study proposes a vehicle intelligent control system based on edge computing and deep learning to promote the far-reaching development of intelligent technology and automation technology. First, control algorithms are used to design a switch control strategy combining accelerator and brake. Second, a fuzzy control algorithm based on vehicle tracking and trajectory deviation is designed to enhance the vehicle’s stability during steering. A Convolutional Neural Network (CNN) is used to recognize the car’s surroundings as it drives. In addition, accelerator and brake controllers and vehicle tracking and trajectory deviation controllers are connected to the vehicle’s wiring. Then, the data transmission function based on edge computing is applied to the vehicle’s intelligent control system. Finally, trajectory tracking and emergency braking experiments are carried out on the control system to verify the practicability and reliability of the method and the effectiveness of CNN. The simulation experiments are carried out on two states of medium speed and high speed to verify the effectiveness of the longitudinal anti-collision system of the test vehicle when the target vehicle suddenly decelerates. The results demonstrate that the driving speed of the experimental vehicle is set to 50km/h, the distance between the experimental vehicle and the target vehicle is 40m, and the target vehicle in front drives at a constant speed of 50km/h. The target vehicle in front of the car suddenly decelerates in 5 seconds, and the speed drops to 0 after 5 seconds. The actual distance between the experimental vehicle and the target vehicle is very close to the expected safe space, and the experimental vehicle is in a safe state during this process. When the experimental vehicle starts to decelerate, the experimental vehicle adopts emergency deceleration to ensure a safe distance between the two vehicles. At this time, the car enters the second-level early warning state, but driving safety can still be guaranteed. It is advisable to maintain low-speed emergency braking in this state. This study provides creative research ideas for the follow-up research on the intelligent control system of uncrewed vehicles and contributes to the development of intelligence and automation technology.
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Roy, Arnab Nilanjan. "Report on Automatic Vehicle Control System Using IR Technology." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 4293–96. http://dx.doi.org/10.22214/ijraset.2022.44908.
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Abstract: The purpose of this idea is to control the speed of vehicles in relation to the different areas in which they are operating. Areas are generally classified into three types, namely, local narrow roads in a city, heavy traffic wide roads, and outlying roads. The speed limit of vehicles varies depending on the area. By setting special types of transmitters at a frequency of 38 kHz, which are mounted in each area, the speed control task is accomplished. An Infrared Signal (IR) receiving unit is set up in the vehicle which gets activated once it comes into the radiation zone of the transmitters that continuously radiate IR coded signals. The vehicle receives IR radiation whenever the vehicle's speed is not within the prescribed speed range and then the speed is controlled either by a control unit or manually. Speed is maintained until the vehicle receives another IR signal. This idea has the potential to be very useful in preventing vehicular accidents. It can also protect pedestrians from overspeed vehicles in slowmoving areas as they cross the road. Consequently, it can be implemented to monitor and control the speed of vehicles in various areas.
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Mallouk, Issam, Badr Abou El Majd, and Yves Sallez. "Optimization of the maintenance planning of a multi-component system." MATEC Web of Conferences 200 (2018): 00011. http://dx.doi.org/10.1051/matecconf/201820000011.
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The vehicle’s maintenance costs, uptime and security are the most important goals for owners and transport companies, but these goals are conflictual and the major cause for delays is related to the maintenance policies. The main objective of transporters is to respond properly to their customer’s demands. In order to deal with this competitiveness, transport companies are working to improve the management of their fleets by focusing in particular on vehicle maintenance, which impact the vehicles uptime, and generate the most important cost. In addition, a vehicle maintenance policy aims to avoid failures and keep the vehicle up and safe. This objective is reached by ensuring a high reliability; otherwise, an unexpected failure of a component can cause vehicle down and can affect the entire sub-system while generating costs. In this paper, we propose a new maintenance policy based on multi-objective optimization. This problem is solved using the Speed-Constrained Multiobjective Particle Swarm Optimization (SMPSO) for an instance of 18 components and 20 vehicles. First, we give an overview of the existing techniques used for vehicle’s maintenance policy, then we present the mathematical model that describes the cost of maintenance and the level of safety. Numerical experiments are presented to demonstrate the efficiency of our approach.
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Abu-Ein, Suleiman Qasim. "Wireless Vehicle Deceleration Speed System (WVDSS)." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 17 (October 6, 2022): 409–17. http://dx.doi.org/10.37394/23203.2022.17.45.
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This work presents an analysis of the problem related to road safety, the idea is to introduce the importance of obtaining more seriousness with committing the traffic rules, and more safety for roads and vehicles. This work provides a system, which replaces the systematic road bump with a transmitter that sends a signal to the coming vehicle’s Electronic Control Unit (ECU). Wireless connection will be between the vehicle and the transmitter placed at the bump's supposed position, to send signals or waves to be received by the receiver in the vehicle’s ECU. It was found that this system will increase the commitment of drivers to traffic signals which control the speed of cars and limit their speed at the allowable speed limits.
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Dong, Guo Liang, Fu Jia Liu, and Xue Li Zhang. "The Implementation and Application of Information Management System of Commercial Vehicle Technical Performance Database Based on J2EE." Applied Mechanics and Materials 268-270 (December 2012): 1710–13. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.1710.
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The article introduces implementation and application of management software of commercial vehicle’s technical performance database. This system orients to 4 types of user (commercial vehicles management departments, test stations of multiple performance, vehicle repair enterprises, and vehicle transportation enterprises). The system has imported many thousands of records and realized 3 provinces of technical conditions database’s interconnection and also has been applied in the 3 provinces for months. Vehicle model database can solve the problems which troubles test stations and repair enterprises for many years. The system can raise safety of vehicles and reduce the probability of occurrence of traffic accidents.
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A. Jayanth, A. Jayanth, S. Hemachandra S. Hemachandra, B. Suneetha B. Suneetha, and B. Gowri Prasad B. Gowri Prasad. "Vehicle Tracking System Using GPS." International Journal of Scientific Research 2, no. 5 (June 1, 2012): 104–5. http://dx.doi.org/10.15373/22778179/may2013/38.
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Zhang, Chunying. "Braking performance test of portable underground light trackless special rubber tyred vehicle Development of equipment." Journal of Physics: Conference Series 2202, no. 1 (June 1, 2022): 012030. http://dx.doi.org/10.1088/1742-6596/2202/1/012030.
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Abstract The braking system of trackless rubber tyred vehicles used underground in China is mostly composed of parking brake and service brake. The parking brake can effectively prevent the vehicle from sliding after the driver leaves. The service brake mainly reduces the speed or stops during driving. China’s relevant standards require the parking braking system of underground trackless rubber tyred vehicles to be inspected regularly to provide safety guarantee for underground operation. At present, the underground trackless rubber tyred vehicles can only be operated by driving them to the fixed Laboratory of the test center regularly (once a year). It is necessary to inspect the vehicle’s braking system and check whether the vehicle’s braking system is normal, Operation and production can only be carried out when it is determined that the vehicle is in good condition. The current inspection methods are not only related to the work efficiency of vehicle inspection, but also affect the safety of operators and production. In view of the above situation, the development of a set of advanced portable detection equipment for braking performance test of underground light trackless special rubber tyred vehicle is very necessary to improve vehicle inspection efficiency and ensure scientific detection.
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Mishra, Nikhil. "Vehicle Theft Detection and Tracking Based on GSM and GPS." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (March 31, 2024): 1423–28. http://dx.doi.org/10.22214/ijraset.2024.58872.
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Abstract: The increasing incidence of vehicle theft poses a significant challenge to vehicle owners and law enforcement agencies worldwide. This paper presents a comprehensive solution for addressing this issue through the integration of Global System for Mobile Communications (GSM) and Global Positioning System (GPS) technologies. The proposed system aims to enhance the security of vehicles by providing real-time theft detection and efficient tracking capabilities. The GSM module facilitates communication between the vehicle and a centralized monitoring system, allowing forseamless data transmission. The system leverages the widespread coverage and reliability of GSM networks to ensure that alerts are promptly delivered to relevant stakeholders, irrespective of the vehicle's location. Furthermore, the GPS technology enables real-time tracking of the stolen vehicle, assisting law enforcement agencies in swiftly responding to the incident. The system's tracking feature provides continuous updates on the vehicle's location, allowing for efficient recovery operations. Additionally, the integration of geofencing capabilities allows users to define virtual boundaries, triggering alerts if the vehicle deviates from the predefined geographical area. The proposed system offers a multi-layered security approach, combining GPS-based tracking with GSMenabled theft detection, making it a robust and effective solution for combating vehicle theft. The integration of these technologies not only enhances the chances of recovering stolen vehicles but also acts as a deterrent, discouraging potential thieves. In conclusion, the Vehicle Theft Detection and Tracking System presented in this paper showcases a technologically advanced and practical solution to mitigate the impact of vehicle theft. The integration of GSM and GPS technologies provides a comprehensive and reliable framework that addresses the security concerns associated with vehicle ownership in today's dynamic environment.
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Arockia Jaya J and Mahalakshmi K. "Cloud based tracking system for smart cities transport systems." international journal of engineering technology and management sciences 8, no. 1 (2024): 153–58. http://dx.doi.org/10.46647/ijetms.2024.v08i01.019.
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The advancement of satellite communication technology has made it simple to locate vehicles. The common man now uses this technology in his daily life thanks to vehicle tracking systems. These days, GPS-equipped fleets, police cars and ambulances are common sights on the roads of developed nations. The location and status of the vehicle can only be tracked using the available technology. The use of cloud computing and centralised web services has not produced such a tracking system. The proposed technology is based on cloud computing infrastructure, GSM, and GPS technology. Specialised embedded devices, GPS, and GSM-capable devices are all installed in the vehicles. A GSM-capable device is used to send this stimulus data to the cloud server. The GPS system used to track the locations of the vehicles A centralised server that is kept in the cloud houses all of the data. Each owner of a registered vehicle can use a web portal to access the cloud. The user can access all the real-time data from the web portal. The suggested system might enable a tracking system to be stable, balanced, resource-efficient and usable.
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K R, Suma. "Smart Vehicle Sensor System." International Journal for Research in Applied Science and Engineering Technology 9, no. VIII (August 5, 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 to design for the user interface that allows access of the vehicle to an intended person only.
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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 (July 30, 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 this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.
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Zheng, Minghua, Heng Zhou, and Jingtang Zheng. "Pure Electric Vehicle Power System Matching Design and Simulation." Journal of Physics: Conference Series 2418, no. 1 (February 1, 2023): 012050. http://dx.doi.org/10.1088/1742-6596/2418/1/012050.
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Abstract According to the design requirements of pure electric drive modification of a certain A-class car and the vehicle’s fundamental parameters, the longitudinal dynamics theory of the vehicle is used to analyze the driving motor, power battery and fixed speed ratio transmission, and other key components. With the help of Cruise simulation software, a pure electric vehicle powertrain model was established and simulation tests were carried out on the New European Driving Cycle, 60km/h isokinetic range cruise, 100km/h acceleration time, and hill-climbing degree and other operating conditions. The results show that the parameters of the power system of pure electric vehicles are reasonably selected, and the power indicators, driving range, and power consumption per 100 kilometers meet the performance design requirements of the whole vehicle, which have theoretical guiding significance for the development of the whole vehicle.
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Lashin, Yehia A., Ahmed M. Ali, Ahmed F. Aiad, and Mostafa Sh Asfoor. "A centralized fleet management system for electrified transportation." Journal of Physics: Conference Series 2811, no. 1 (July 1, 2024): 012025. http://dx.doi.org/10.1088/1742-6596/2811/1/012025.
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Abstract Hybrid Electric Vehicles are a promising alternative to Conventional and Electric Vehicles, as they offer better fuel economy, lower emissions, and long drive range without requiring extensive charging infrastructure. Limited driving range and battery degradation in electric vehicles are the main challenges in electrified fleets working in large metropolitan. For these challenges, the hybrid electric vehicle fleet management system is an effective solution to optimize power consumption and mitigate electric vehicle and conventional vehicle challenges. This paper proposes a hybrid electric vehicle fleet management system for public transportation, to analyze and investigate the performance and energy consumption rate of conventional, electric, and hybrid electric vehicles on different routes using representative driving cycles. The hybrid electric vehicle fleet management system enhances operational efficiency for the fleet management system and reduces power consumption in transportation. The proposed work comprises a hybrid electric vehicle model that is based on object-oriented programming. The proposed work offers the ability to add the input of the initial state of charge, power split ratio, and route data for each bus, and the hybrid electric vehicle model computes the state of charge and fuel consumption rate along the road. Finally, The proposed work shows how a hybrid electric vehicle fleet management system has a significant potential to be a solution for public transportation in Egyptian urban areas at this time compared with conventional vehicle and electric vehicle fleet management systems.
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Yogarayan, Sumendra, Afizan Azman, Siti Fatimah Abdul Razak, Kirbana Jai Raman, Mohd Fikri Azli Abdullah, Siti Zainab Ibrahim, and Kalaiarasi Sonai Muthu. "A Study of Connected Vehicle for Vehicle Maintenance." International Journal of Engineering & Technology 7, no. 4.40 (December 16, 2018): 11–14. http://dx.doi.org/10.14419/ijet.v7i4.40.24024.
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Connected Vehicle Maintenance System is a system that is developed to assist car owners from facing problems especially when there is a vehicle breakdown. Vehicles in Malaysia do not have any available platform system that can provide assistance, diagnostic and telematics services to car owners. As vehicles are connected with various components of vehicle control unit, huge number of data are generated. Gathering this data has become a part of the connected vehicle research scope. However, car owners do not understand raw vehicle data unless their vehicles are brought to a service center. Thus, enabling in-vehicle system to interpret and monitor this data is an advancement of technology and provides a convenient driving environment for car owners. Â
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Babu, Md Ashraful, Md Mortuza Ahmmed, Mir Kaosar Ahamed, and M. Mostafizur Rahman. "A Cluster Based Feasible Time Interval for Tracking Lost or Stolen Vehicle." AIUB Journal of Science and Engineering (AJSE) 21, no. 1 (October 12, 2022): 63–67. http://dx.doi.org/10.53799/ajse.v21i1.201.
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The system for tracking and monitoring lost or stolen vehicle is challenging. This device is widely used to assess the vehicle's location using GPS technology. It can be used to track a vehicle or vehicle fleet and to obtain information about the vehicle's current location. There are various challenges for tracking and monitoring vehicles and finding lost vehicles due to the lack of proper real-time vehicle location and hence it is difficult to take necessary action in the immediate proper time after the vehicle has lost or stolen. In this paper a Cluster Based Feasible Time Interval for Vehicle Tracking (CFTVT) algorithm for measuring the minimum time interval for taking action after the vehicle has lost or stolen is proposed. This proposed model helps to imply any appropriate vehicle tracking algorithm in the exact proper time after the vehicle has been lost or stolen.
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Nagarajan Krishnamurthy, Et al. "Heavy Vehicles: Distributed Hybrid Power System and Vehicle." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 1 (January 31, 2023): 185–88. http://dx.doi.org/10.17762/ijritcc.v11i1.9802.
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This research focuses on the development of a distributed hybrid power system and vehicle for heavy vehicles. The dynamical system comprises a power plant module, a drive module, an energy-storage module, and an entire car controller. The power plant module consists of one or more auxiliary power units that provide power to the heavy vehicle's power system. The drive module includes multiple driver elements responsible for directly driving the heavy vehicle's drive axles or operating individual wheels through direct drive. The energy-storage module serves as an energy reserve. The entire car controller is connected to the power plant module, drive module, and energy-storage module, enabling control over the activation of driver elements and the output of these elements to manage the heavy vehicle's transportation conditions. The novel approach eliminates the need for mechanical power transmission systems found in conventional engines and drive axles, allowing for flexible arrangement of auxiliary power units and driver elements on heavy vehicles.
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Lv, Xueying, Yanju Ji, Huanyu Zhao, Jiabao Zhang, Guanyu Zhang, and Liu Zhang. "Research Review of a Vehicle Energy-Regenerative Suspension System." Energies 13, no. 2 (January 16, 2020): 441. http://dx.doi.org/10.3390/en13020441.
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Vehicles are developing in the direction of energy-saving and electrification. suspension has been widely developed in the field of vehicles as a key component. Traditional hydraulic energy-supply suspensions dissipate vibration energy as waste heat to suppress vibration. This part of the energy is mainly generated by the vehicle engine. In order to effectively utilize the energy of this part, the energy-regenerative suspension with energy recovery converts the vibrational energy into electrical energy as the vehicle’s energy supply equipment. This article reviews the hydraulically powered suspension of vehicles with energy recovery. The importance of such suspension in vehicle energy recovery is analyzed. The main categories of energy-regenerative suspension are illustrated from different energy recovery methods, and the research status of hydraulic energy-regenerative suspension is comprehensively analyzed. Important factors that affect the shock-absorbing and regenerative characteristics of the suspension system are studied. In addition, some unresolved challenges are also proposed, which provides a reference value for the development of energy-regenerative suspension systems for hybrid new energy vehicles
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M, Mr Rohith, Nirmal L, Suresh Chandra Bose K, and Stephen Sagayaraj A. "IOT BASED BATTERY MONITORING SYSTEM FOR ELECTRIC VEHICLE." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (October 1, 2023): 1–11. http://dx.doi.org/10.55041/ijsrem26040.
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The rapid adoption of electric vehicles (EVs) represents a critical step towards reducing greenhouse gas emissions and achieving sustainable transportation solutions. One of the key components in an EV is its battery, which plays a pivotal role in determining the vehicle's performance, range, and overall efficiency. Ensuring the health and longevity of EV batteries is essential for promoting EV adoption and optimizing their operational capabilities. This project presents an IoT-based Battery Monitoring System (BMS) designed to address the challenges associated with monitoring and managing the batteries in electric vehicles. The system leverages the power of Internet of Things (IoT) technology to continuously gather real-time data from the EV's battery pack. The IoT-based BMS consists of various components, including battery sensors, microcontrollers, wireless communication modules, and cloud-based data analytics. Battery sensors collect data on parameters such as voltage, current, temperature, and state of charge (SoC) from individual cells within the battery pack. In conclusion, this project presents an innovative IoT-based Battery Monitoring System that has the potential to revolutionize the way we manage and maintain electric vehicle batteries. Key Words: Battery pack, Electric vehicle Voltage, State of charge, Vehicle performance.
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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 (April 1, 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 analysis, although it is often assumed that a normalized moving vehicle image is available. Machine Learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. In this paper, a machine learning algorithm created for analyzing vehicle detection, travel direction and speed measurement.
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Kuroda, Yoji, and Tamaki Ura. "Vehicle Management System for Operating Multiple Vehicles." Journal of the Society of Naval Architects of Japan 1995, no. 177 (1995): 447–55. http://dx.doi.org/10.2534/jjasnaoe1968.1995.447.
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Ayteki̇n, Ahmet. "Determining criteria weights for vehicle tracking system selection using PIPRECIA-S." Journal of Process Management and New Technologies 10, no. 1-2 (2022): 115–24. http://dx.doi.org/10.5937/jouproman2201115a.
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Vehicle tracking systems are generally used to determine the location of vehicles, monitor them, and guide them when appropriate. This study aims to define the criteria that logistics companies consider when selecting a vehicle tracking system, as well as the relative importance of these criteria. PIPRECIA-S, a multi-criteria decision analysis method, was used in this context. According to the analysis results, the most important criterion in the selection of a vehicle tracking system is real-time tracking of the vehicle's location. When it comes to selecting a vehicle tracking system, logistics firms should prioritize instant vehicle tracking, compliance with local rules, compatibility with new technologies and software, quality certification, and compatibility with external systems-devices over other criteria. Other important criteria to consider when selecting a vehicle tracking system are system maintenance and technical support, providing statistical data collection and effective reporting, allowing the vehicle to be diverted, comprehension, simplicity of implementation and visual geo-information presentation for users, design and quality of hardware, system cost, communication infrastructure, and reducing the operating costs of companies. Also, when developing vehicle tracking systems, system developers can prioritize the aforementioned criteria.
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Aytekin, Ahmet. "DETERMINING CRITERIA WEIGHTS FOR VEHICLE TRACKING SYSTEM SELECTION USING PIPRECIA-S." Journal of process management and new technologies 10, no. 1-2 (June 22, 2022): 115–24. http://dx.doi.org/10.5937/jpmnt10-38145.
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Vehicle tracking systems are generally used to determine the location of vehicles, monitor them, and guide them when appropriate. This study aims to define the criteria that logistics companies consider when selecting a vehicle tracking system, as well as the relative importance of these criteria. PIPRECIA-S, a multi-criteria decision analysis method, was used in this context. According to the analysis results, the most important criterion in the selection of a vehicle tracking system is real-time tracking of the vehicle's location. When it comes to selecting a vehicle tracking system, logistics firms should prioritize instant vehicle tracking, compliance with local rules, compatibility with new technologies and software, quality certification, and compatibility with external systems-devices over other criteria. Other important criteria to consider when selecting a vehicle tracking system are system maintenance and technical support, providing statistical data collection and effective reporting, allowing the vehicle to be diverted, comprehension, simplicity of implementation and visual geo-information presentation for users, design and quality of hardware, system cost, communication infrastructure, and reducing the operating costs of companies. Also, when developing vehicle tracking systems, system developers can prioritize the aforementioned criteria.
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Xu, Dawei, Yunfan Yang, Liehuang Zhu, Cheng Dai, Tianxin Chen, and Jian Zhao. "Vehicle Re-Identification System Based on Appearance Features." Security and Communication Networks 2022 (May 5, 2022): 1–12. http://dx.doi.org/10.1155/2022/1833362.
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Aiming at the low recognition accuracy caused by the problems of angle, illumination, and occlusion in vehicle re-identification based on deep learning, a vehicle re-identification method based on multibranch network feature extraction and two-stage retrieval feature is proposed. The multibranch feature extraction module uses ResNet-50 as the backbone network to extract the vehicle’s attribute features and apparent features, respectively, and uses the attribute features for rough retrieval. On this basis, the attribute features and apparent features are fused for fine retrieval. Through experiments, the accuracy of vehicle re-identification on Veri-776 data set and VehicleID datasets is significantly improved. In addition, based on the improved algorithm, this paper designs and develops a vehicle re-identification system, which realizes the functions of inputting file directory, selecting target image, and querying result image, and provides a visual technical scheme for vehicle re-identification and retrieval in the real scene.
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P, Mrs Smitha. "Vehicle Theft Authentication System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (May 16, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem34089.
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This thesis presents a robust security system designed to tackle the escalating issue of vehicle theft and unlicensed driving. By integrating a suite of cutting-edge technologies including Arduino, driver's permit card (DL),radio-frequency ID scanner (RFID),biometric fingerprint sensor (FP), Face Recognition (FR), and Global System for Mobile Communication modem (GSM), the system aims to fortify vehicles against unauthorized access. At its core, Arduino serves as the central intelligence, capable of storing and processing authorized driver data such as facial recognition and fingerprint records. When a driver inserts their license into the RFID reader, the system cross-references the information with stored data. If the license is validated, the system proceeds to authenticate the driver's identity through facial recognition and fingerprint scanning. Successful verification enables the ignition system, granting access to the vehicle. However, any discrepancy triggers an immediate SMS alert via the GSM modem to the vehicle owner, while simultaneously disabling the ignition to thwart unauthorized use. Additionally, an alcohol detection module further enhances safety by preventing vehicle ignition if alcohol is detected in the driver's system. This comprehensive approach not only safeguards vehicles from theft but also promotes responsible driving practices, exemplified by timely license renewal reminders and the enforcement of alcohol-free driving. Key Words: Vehicle security system,Arduino integration,Driver's license card (DL), radio-frequency ID scanner (RFID),Fingerprint module (FP) Face Recognition (FR), GSM-enabled mobile communication device, Unauthorized access prevention,Facial recognition,Fingerprint scanning SMS alerts,Alcohol detection module,Responsible driving practices,License renewal reminders,Alcohol-free driving enforcement.
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Nambiar, E. P. Meghana, and Shilpa Kharche. "Review on Vehicle Identification System." Journal of Electronics and Communication Systems 8, no. 3 (2023): 9–23. http://dx.doi.org/10.46610/joecs.2023.v08i03.002.
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In our daily lives, the crime rate continues to rise, and security is increasingly compromised, leading to an upsurge in criminal activities. Various crimes, including kidnappings, acts of terrorism, and homicides, often occur due to the use of unauthorized or untraceable vehicles. To counter the presence of unauthorized vehicles on the roads, several technologies, such as RFID and camera-based identification systems, have been developed. This paper aims to explore research into the different technologies employed in vehicle identification that are user-friendly for authorized individuals. The primary objective of this paper is to offer insights into the various technologies used for vehicle identification. It intends to delve deeper into the technologies described in existing research and advance the state of vehicle identification systems to a level where compromise becomes increasingly difficult.
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Gopadi, Mr Harish Kumar, E Samanvitha, G Deepthi, and G sahithi. "VEHICLE ANTI-THEFT SECURITY SYSTEM WITH IGNITION LOCKING USING EMBEDDED SYSTEM." Industrial Engineering Journal 54, no. 01 (2024): 70–76. https://doi.org/10.36893/iej.2024.v54i1.010.
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The Vehicle Anti-Theft Security System is an advanced embedded solution designed to prevent unauthorized access and safeguard vehicles. This system integrates multiple technologies, including GSM communication, fingerprint authentication, and a password keypad, to provide a robust, multi-layered security framework. At its core, the system is powered by an Arduino microcontroller, which interfaces with various components: a fingerprint sensor for biometric verification, a password keypad for additional security, an LCD display for user interaction and status updates, and a GSM module for real-time notifications. A DC motor simulates the vehicle’s ignition system, locking or unlocking based on successful authentication. To access the vehicle, users must authenticate their identity via fingerprint scanning or password entry. In the event of unauthorized attempts, the system triggers an alarm and sends an SMS alert to the owner, ensuring prompt action. The LCD provides clear feedback during the authentication process, enhancing the user experience. Additionally, the GSMmodule enables remote monitoring and control, allowing the owner to lock or unlock the ignition via SMS in emergencies. This solution is costeffective, scalable, and highly versatile, making it suitable for both individual vehicle owners and commercial applications.
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Gheres, M. I., N. Cordos, and A. Todorut. "Numerical analysis and evaluation of a semi-heavy guardrail system." IOP Conference Series: Materials Science and Engineering 1303, no. 1 (March 1, 2024): 012036. http://dx.doi.org/10.1088/1757-899x/1303/1/012036.
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Abstract The continuous increase in traffic accidents, following the rise in the number of vehicles in traffic and their speed, requires the development of research on the design of active and passive safety systems. This research mainly aims to compare the performance of commonly used passive safety systems (semi-heavy W-beam guardrails) mounted on roadside and pedestrian bridges to protect vehicles and pedestrians. It is intended to reduce the deformations of the vehicle upon impact with the protective device mounted between the roadside and the pedestrian area for the protection of the vehicle occupants; reduce the parapet working width for the pedestrian’s safety; and maintain the vehicle’s trajectory from the moment of impact to the final movement, between the guardrail and the median axis of the road, to ensure the protection of other road users. A CAD model of the vehicle-guardrail scenario was developed to achieve these objectives. Load simulation cases are performed using the finite element method according to the European standards SR EN 1317 for impact tests of vehicles - TB 42, recommended for semi-heavy guardrails.
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Abhale, Aniket, Amol Pathare, Anupama Indapure, Joshan Wadekar, and Dr Priya Shelke. "Blockchain Based used Vehicle Tracking System." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 6986–94. http://dx.doi.org/10.22214/ijraset.2023.53333.
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Abstract: The used vehicle market has long been in India, but due to the danger involved in buying an old vehicle without a guarantee and the fact that it lacks certification, it has not been able to make a significant vehicle in the vehicle sector. Purchasing a second-hand vehicle is a risky decision since it is impossible to judge a vehicle just on the basis of appearance if you don't know anything about its history. Many individuals buy vehicles without looking into their past, which frequently results in them getting into legal difficulties. Some people offer vehicles that have been reported stolen with no prior history. Due to them, consumers who wish to purchase a quality used car are duped, which puts them in legal trouble. A solution to this problem is to use a platform that offers the consumer a reliable approach to looking up information about a vehicle, where all vehicle-related data is added in a safe, unchangeable manner. Thus, this issue may be solved via blockchain technology. We are trying to create an Android app that will use blockchain technology to store previous owner data in such a way that it cannot be altered.