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Relevant bibliographies by topics / Vehicle System

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Academic literature on the topic 'Vehicle System'

Author: Grafiati

Published: 8 February 2025

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Journal articles on the topic "Vehicle System"

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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 (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 (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 (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 (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 (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 (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 (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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Dissertations / Theses on the topic "Vehicle System"

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Deshpande, Anup S. "Computer Joystick Control and Vehicle Tracking System in Electric Vehicles." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282569869.

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Keshri, Ritesh Kumar. "Electric Vehicle Propulsion System." Doctoral thesis, Università degli studi di Padova, 2014. http://hdl.handle.net/11577/3423806.

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Electric vehicles are being considered as one of the pillar of eco-friendly solutions to overcome the problem of global pollution and radiations due to greenhouse gases. Present thesis work reports the improvement in overall performance of the propulsion system of an electric vehicle by improving autonomy and torque-speed characteristic. Electric vehicle propulsion system consists of supply and traction system, and are coordinated by the monitoring & control system. Case of light electric vehicle propulsion system with permanent-magnet (PM) brushless dc (BLDC) drive being used in electric scooters and electric-mini cars is considered for analytical study and the implementation of the proposed solutions. PM BLDC motor and voltage source inverter are considered as a part of traction system and electric energy source such as battery, fuel cell or photovoltaic panel are considered as a part of supply system. Available electric energy sources are capable of delivering higher current at lower terminal voltage, so are connected either in series or -more often- to the higher voltage dc-link through a circuital arrangement (boost topology) to achieve higher voltage. For the evaluation of boost topologies, traditional dc-to-dc boost converter with cascade VSI (DBI) and Z-source inverter (ZSI) are considered for fuel cell and battery as on-board energy sources. Evaluation of the convenience of the two supply topologies is carried out in terms of the factors defining transistor power utilization, and voltage and current transistor solicitation. In addition to mentioned defined factors, sizing of the passive components in terms of the power contribution factor of fuel cell is considered. In respect to the defined factors, DBI supply is found to be beneficial for PM BLDC drive whereas, with respect to the power contribution factor, ZSI supply is good to adopt for the cases were major contribution of power is from battery. For the improvement in torque-speed characteristics of the considered drive, issue of torque ripple due to non-ideal phase commutation in case of conventional square-wave phase current (SqPC) supply is studied analytically by establishing a correlation between the behavior of the commutating phase currents and motor torque. Behavior of the motor torque during commutation for low and high speed zone as a function motor speed and defined motor specific quantity are explained in detailed. The analytical results are used to explain the dropping torque-speed characteristic of the drive and are verified experimentally for a propulsion drive available in the laboratory. Dropping torque-speed characteristic limits the use of the drive up till the nominal speed. To overcome this issue sinusoidal phase current (SPC) supply is proposed. SPC offers constant motor torque. A detailed convenience analysis of SPC over SqPC is carried out. Strategy for the implementation of SPC supply is also discussed and the analytical results were verified by the experimentally. The study of the PM BLDC drive by means of the space phasor/vector approach has been executed. While such an approach is quite common for drives with motors with sinusoidal back-emf and phase currents, it is not explored in the literature for the present case, where back-emfs are trapezoidal and phase currents are square-wave in nature. Behavior of the PM BLDC drive has been revisited in stationary plane and the current commutation between the motor phases has been explained with the help of phase variable vectors. All the results obtained in a-b-c plane are cross verified in stationary plane showing the simplicity and potentialities of the vector approach for PM BLDC drive. To address the issue of the autonomy of electric vehicles, use of solar energy to assist the on-board batteries of an electric mini-car is considered. Photovoltaic Geographical Information Systems database provided by Joint Research Centre Europe, is used to estimate the solar irradiance available in Padova, Italy. Output of a 0.487 sq-meter, 20-cell multi-crystalline PV panel is estimated and accordingly a conventional dc-to-dc boost converter is designed to interface PV panel with dc-link of a mini-car available in the laboratory. Appropriate control is implemented through DSP to track maximum power point. Whole system was tested outside the laboratory and measurements were carried out. Analytical loss model of the dc-to-dc boost converter is developed to explain the variations in gain, efficiency and loss components of the converter under varying solar irradiance. The thesis work has been carried out at the Laboratory of “Electric systems for automation and automotive” headed by Prof. Giuseppe Buja. The laboratory belongs to the Department of Industrial Engineering of the University of Padova<br>I veicoli elettrici sono considerati uno dei pilastri tra le soluzioni ecosostenibili per superare il problema dell’inquinamento globale dovuto ai gas serra. Questo lavoro di tesi tratta del miglioramento delle prestazioni complessive di un sistema di propulsione di un veicolo elettrico mediante l’aumento dell’autonomia e della caratteristica coppia-velocità. Il sistema di propulsione di un veicolo elettrico consiste in un sistema di alimentazione e di un sistema di trazione, coordinati da un sistema di monitoraggio e controllo. Lo studio analitico e l’implementazione della soluzione proposta per il sistema di propulsione sono stati svolti con riferimento ad un motore brushless a magneti permanenti con fem trapezoidale (PM BLDC), utilizzato comunemente in veicoli elettrici leggeri come gli scooter e le mini-car. Il sistema di propulsione è costituito dal motore PM BLDC e dall’invertitore di tensione, mentre il sistema di alimentazione è formato da sorgenti energia elettrica come le batterie, le celle a combustibile o i pannelli fotovoltaici. Le sorgenti di energia elettrica disponibili sul mercato consentono di raggiungere elevati valori di corrente ma con bassi valori di tensione. Al fine di ottenere i valori di tensioni richiesti dal bus in continua, esse sono collegate in serie tra loro o sono connesse mediante convertitori innalzatori di tensione. Ciò può avvenire o attraverso un tradizionale convertitore dc/dc innalzatore con in cascata un invertitore di tensione (DBI) o attraverso un invertitore di tipo Z-source (ZSI). La valutazione di convenienza delle due modalità di alimentazione è basata sul fattore di utilizzazione e sulle sollecitazioni in termini di corrente e tensione dei transistor di potenza. Oltre ai fattori menzionati in precedenza, sono stati dimensionati gli elementi passivi in funzione della quota parte di potenza fornita dalla cella a combustibile. In relazione ai parametri definiti, la migliore soluzione risulta essere l’alimentazione con DBI, mentre quella con ZSI appare conveniente quando la maggior parte della potenza assorbita dal carico sia fornita dalle batterie. Al fine di migliorare le prestazioni di coppia, il ripple di coppia dovuto alla non ideale commutazione del convertitore ad onda quadra (SqPC) è stato studiato analiticamente, stabilendo la correlazione tra le correnti durante la fase di commutazione e la coppia del motore. Il comportamento di coppia a basse ed ad alte velocità è stato esaminato in dettaglio utilizzando specifiche grandezze del motore. I risultati analitici sono stati utilizzati per spiegare la caduta della coppia sviluppata dal motore ad alte velocità; essi sono stati verificati sperimentalmente su un azionamento di propulsione disponibile in laboratorio. La non costanza della caratteristica coppia-velocità limita l’uso del motore nei pressi della velocità nominale. Per superare questo limite è stata altresi utilizzata un’alimentazione con corrente sinusoidale (SPC). Essa permette di fornire al motore una coppia costante. E’ stata quindi eseguita un’analisi dettagliata al fine di vedere quale sia il metodo di alimentazione più conveniente tra SqPC e SPC. È stata altresì descritta la strategia d’implementazione dell’alimentazione SPC, e i risultati analitici sono stati verificati sperimentalmente. E’ stato eseguito lo studio degli azionamenti con motori PM BLDC con l’approccio dei fasori spaziali. Mentre questo approccio è abbastanza comune nel caso di azionamenti con motori con forza contro-elettromotrice e correnti di sinusoidali, esso non è trattato in letteratura per gli azionamenti con motori PM BLDC, in quanto la forza contro-elettromotrice è trapezoidale e il profilo delle correnti di fase è un onda quadra. Il comportamento del motore PM BLDC è stato rivisitato sul piano stazionario e la commutazione della corrente tra le fasi è stata descritta con l’ausilio dei vettori delle grandezze di fase. Tutti i risultati ottenuti nel piano a-b-c sono stati verificati nel piano stazionario, mostrando la semplicità e le potenzialità dell’approccio vettoriale. Al fine di estendere l’autonomia del veicolo sono stati utilizzati dei pannelli fotovoltaici. Il Sistema Geografico di Informazioni Fotovoltaico sviluppato dal Joint Research Center Europe è stato utilizzato per stimare il valore d’irraggiamento solare disponibile a Padova. È stata stimata la potenza generata da un pannello fotovoltaico di superficie 0.487 m2, formato da 20 celle multi-cristalline, e in relazione ad essa, è stato progettato il convertitore dc-dc elevatore per interfacciare il pannello fotovoltaico al bus in continua di una mini-car disponibile in laboratorio. Un appropriato controllo è stato implementato in un processore DSP al fine di inseguire il punto di massima potenza. L’intero sistema è stato provato all’esterno del laboratorio, facendo le misure necessarie per le verifiche. Un modello analitico delle perdite del convertitore dc-dc elevatore è stato sviluppato per descrivere la variazione di guadagno, rendimento e perdite del convertitore al variare dell’irraggiamento solare. Il lavoro di tesi è stato sviluppato presso il Laboratorio di “Sistemi elettrici per l’automazione e la veicolistica” diretto dal Prof. Giuseppe Buja. Il laboratorio afferisce al Dipartimento di Ingegneria Industriale dell’Università di Padova

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Weston, Leigh, and Reyes Javier Marrero. "Driver Safety Alert System - An Alternative to Vehicle-to-Vehicle Communication-based Systems." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20172.

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Automotive transport unavoidably raises safety concerns for drivers, passengers, and indeed, all road users alike. Advancements in vehicle safety technologies have come a long way, and have had a major impact on the reduction of road-related accidents and fatalities. However, as the push towards autonomous vehicle systems gains momentum, assumptions must be avoided about the global application of such technologies.This paper proposes an idea for a road safety alert system, which is realized in the form of small-scale prototype, subsequently tested and evaluated to study its theoretical application to real world scenarios. The system is geared towards developing regions of the world where a reduction in road-related accidents and death is needed most. Reviews of various existing and proposed safety systems within the realm of Intelligent Transportation Systems (ITS) are conducted, with a focus on Vehicle-to-Vehicle (V2V) and non-V2V applications, which are compared to and contrasted with our proposal.We hope to foster further discussion and research into suitable technologies and their application, in regions of the world that require a different approach when trying to realistically reduce the consistent destructive trend of accidents and fatalities when humans are still behind the wheel.

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Kim, Hoe Kyoung. "Development and evaluation of advanced traveler information system (ATIS) using vehicle-to-vehicle (V2V) communication system." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33828.

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This research develops and evaluates an Advanced Traveler Information System (ATIS) model using a Vehicle-to-Vehicle (V2V) communication system (referred to as the GATIS-V2V model) with the off-the-shelf microscopic simulation model, VISSIM. The GATIS-V2V model is tested on notional small traffic networks (non-signalized and signalized) and a 6X6 typical urban grid network (signalized traffic network). The GATIS-V2V model consists of three key modules: vehicle communication, on-board travel time database management, and a Dynamic Route Guidance System (DRGS). In addition, the system performance has been enhanced by applying three complementary functions: Autonomous Automatic Incident Detection (AAID), a minimum sample size algorithm, and a simple driver behavior model. To select appropriate parameter ranges for the complementary functions a sensitivity analysis has been conducted. The GATIS-V2V performance has been investigated relative to three underlying system parameters: traffic flow, communication radio range, and penetration ratio of participating vehicles. Lastly, the enhanced GATIS-V2V model is compared with the centralized traffic information system. This research found that the enhanced GATIS-V2V model outperforms the basic model in terms of travel time savings and produces more consistent and robust system output under non-recurrent traffic states (i.e., traffic incident) in the simple traffic network. This research also identified that the traffic incident detection time and driver's route choice rule are the most crucial factors influencing the system performance. As expected, as traffic flow and penetration ratio increase, the system becomes more efficient, with non-participating vehicles also benefiting from the re-routing of participating vehicles. The communication radio ranges considered were found not to significantly influence system operations in the studied traffic network. Finally, it is found that the decentralized GATIS-V2V model has similar performance to the centralized model even under low flow, short radio range, and low penetration ratio cases. This implies that a dynamic infrastructure-based traffic information system could replace a fixed infrastructure-based traffic information system, allowing for considerable savings in fixed costs and ready expansion of the system off of the main network corridors.

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Wu, Tahchang Jimmy. "Simulation and analysis of the control system of the hybrid vehicle." Ohio : Ohio University, 1989. http://www.ohiolink.edu/etd/view.cgi?ohiou1182180337.

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Kjellgren, Andreas. "Graphics System in Vehicle Electronics." Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-103104.

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<p>In this thesis three problems areas are studied related to embedded system and device driver programming: a GPS driver, the CAN Bus and study of graphics libraries suitable for embedded systems. The thesis has two parts: an academic study and an implementation phase based on the academic study. The Freescale i.MX31ADS development board together with ENEA's operating system OSE is used as a basis for the study and it is shown that OpenGL ES is best suited for the platform. Further the system can be complemented by the use of Mobile 3D Graphics, a Java based solution. A driver for the graphics port is implemented for Linux and OpenGL ES works using a graphics accelerator on the hardware. In the field of CAN communication an analysis of an existing driver is made. The driver has two shortcomings that lead to an incorrect priority order when multiple messages are sent simultaneously on the CAN bus. The main problem is that the bit, which tells if the data field of the CAN message fits in a single message, has the greatest impact on a CAN message priority. Another problem is that the signal numbers have not been assigned in a consistent manner. A design proposal and an implementation are made. The work with GPS is limited to theory and design in terms of creating the basis for the future creation of the driver. A survey of the interfaces that exist between the GPS module and other hardware is done and additional requirements from the rest of the system are highlighted.</p>

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Brierley, Scott, and Roy Lothringer. "EXPENDABLE LAUNCH VEHICLE VIDEO SYSTEM." International Foundation for Telemetering, 2003. http://hdl.handle.net/10150/607452.

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International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>The Delta expendable launch vehicle has been flying onboard video cameras. The camera is an NTSC analog camera that directly modulates an FM transmitter. A standard FM deviation is used to maximize link performance while minimizing transmitted bandwidth. Pre-emphasis per CCIR recommendation 405 is used to improve the video signal-to-noise ratio. The camera and transmitter obtain power from either a separate battery or the vehicle power system. Lighting is provided by sunlight, or a light may be added when sunlight is unavailable. Multiple cameras are accommodated by either using multiple transmitters or by switching the individual cameras in flight. IRIG-B timing is used to correlate the video with other vehicle telemetry.

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Zulkanthiwar, Amey. "VEHICLE INFORMATION SYSTEM USING BLOCKCHAIN." CSUSB ScholarWorks, 2019. https://scholarworks.lib.csusb.edu/etd/899.

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The main purpose of a vehicle information system using blockchain is to create a transparent and reliable information system which will help consumers buy a vehicle; it is a vehicle information system. The blockchain system will create a time sequence chain of events database for each vehicle from the original sale. It will include insurance, vehicle repair, and vehicle resale. This project is mainly divided into three parts. Part one is used by the administration who will create the blockchain and will give authentication to a different organization to create the blockchain. Part two will be used by the Organization to create a block in the blockchain. Part three will be used by customers who want to get information about the vehicle.

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Kang, Yong Suk. "Development of Predictive Vehicle Control System using Driving Environment Data for Autonomous Vehicles and Advanced Driver Assistance Systems." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/85106.

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In the field of modern automotive engineering, many researchers are focusing on the development of advanced vehicle control systems such as autonomous vehicle systems and Advanced Driver Assistance Systems (ADAS). Furthermore, Driver Assistance Systems (DAS) such as cruise control, Anti-Lock Braking Systems (ABS), and Electronic Stability Control (ESC) have become widely popular in the automotive industry. Therefore, vehicle control research attracts attention from both academia and industry, and has been an active area of vehicle research for over 30 years, resulting in impressive DAS contributions. Although current vehicle control systems have improved vehicle safety and performance, there is room for improvement for dealing with various situations. The objective of the research is to develop a predictive vehicle control system for improving vehicle safety and performance for autonomous vehicles and ADAS. In order to improve the vehicle control system, the proposed system utilizes information about the upcoming local driving environment such as terrain roughness, elevation grade, bank angle, curvature, and friction. The local driving environment is measured in advance with a terrain measurement system to provide terrain data. Furthermore, in order to obtain the information about road conditions that cannot be measured in advance, this work begins by analyzing the response measurements of a preceding vehicle. The response measurements of a preceding vehicle are acquired through Vehicle-to-Vehicle (V2V) or Vehicle-to-Infrastructure (V2I) communication. The identification method analyzes the response measurements of a preceding vehicle to estimate road data. The estimated road data or the pre-measured road data is used as the upcoming driving environment information for the developed vehicle control system. The metric that objectively quantifies vehicle performance, the Performance Margin, is developed to accomplish the control objectives in an efficient manner. The metric is used as a control reference input and continuously estimated to predict current and future vehicle performance. Next, the predictive control algorithm is developed based on the upcoming driving environment and the performance metric. The developed system predicts future vehicle dynamics states using the upcoming driving environment and the Performance Margin. If the algorithm detects the risks of future vehicle dynamics, the control system intervenes between the driver's input commands based on estimated future vehicle states. The developed control system maintains vehicle handling capabilities based on the results of the prediction by regulating the metric into an acceptable range. By these processes, the developed control system ensures that the vehicle maintains stability consistently, and improves vehicle performance for the near future even if there are undesirable and unexpected driving circumstances. To implement and evaluate the integrated systems of this work, the real-time driving simulator, which uses precise real-world driving environment data, has been developed for advanced high computational vehicle control systems. The developed vehicle control system is implemented in the driving simulator, and the results show that the proposed system is a clear improvement on autonomous vehicle systems and ADAS.<br>Ph. D.

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Kirsch, Patricia Jean. "Autonomous swarms of unmanned vehicles software control system and ground vehicle testing /." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2993.

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Thesis (M.S.) -- University of Maryland, College Park, 2005.<br>Thesis research directed by: Dept. of Electrical and Computer Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Books on the topic "Vehicle System"

1

Zhao, Youqun, and Fen Lin. Vehicle System Dynamics. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2019-4.

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Engineers, Society of Automotive, and SAE International Congress & Exposition (1994 : Detroit, Mich.), eds. Vehicle suspension system advancements. Society of Automotive Engineers, 1994.

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Kaliske, Michael, Markus Oeser, Lutz Eckstein, Sabine Leischner, Wolfram Ressel, and Frohmut Wellner, eds. Coupled System Pavement - Tire - Vehicle. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75486-0.

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Cope, D. Vehicle emissions control system tampering. Environment Canada, 1988.

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Wang, Shuo, Yu Wang, Min Tan, et al. Underwater Biomimetic Vehicle-Manipulator System. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0655-0.

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Easley, Wesley C. Transport systems research vehicle color display system operations manual. National Aeronautics and Space Administration, Langley Research Center, 1989.

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Goodarzi, Avesta, and Amir Khajepour. Vehicle Suspension System Technology and Design. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-01494-9.

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Yang, Shaopu, Liqun Chen, and Shaohua Li. Dynamics of Vehicle-Road Coupled System. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45957-7.

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Goodarzi, Avesta, Yukun Lu, and Amir Khajepour. Vehicle Suspension System Technology and Design. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21804-0.

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Ballard, Robert D. The JASON remotely operated vehicle system. Woods Hole Oceanographic Institution, 1993.

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Book chapters on the topic "Vehicle System"

1

Spiryagin, Maksym, Stefano Bruni, Christopher Bosomworth, Peter Wolfs, and Colin Cole. "System Integration." In Rail Vehicle Mechatronics. CRC Press, 2021. http://dx.doi.org/10.1201/9781003028994-13.

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Kashem, Saad, Romesh Nagarajah, and Mehran Ektesabi. "Vehicle Suspension System." In Springer Tracts in Mechanical Engineering. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5478-5_3.

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Weik, Martin H. "vehicle highway system." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_20710.

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Wu, Xiaodong. "Vehicle Steering System." In Advanced Chassis Control Technology for Steer-by-Wire Vehicles. CRC Press, 2024. http://dx.doi.org/10.1201/9781003481669-1.

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Popp, Karl, and Werner Schiehlen. "System Definition and Modeling." In Ground Vehicle Dynamics. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68553-1_1.

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Du, Mingfang. "Vehicle Borne Radar System." In Autonomous Vehicle Technology. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4143-6_3.

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Du, Mingfang. "Energy and Power System." In Autonomous Vehicle Technology. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4143-6_7.

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Zhao, Youqun, and Fen Lin. "Introduction." In Vehicle System Dynamics. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2019-4_1.

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Zhao, Youqun, and Fen Lin. "Evaluation of Active Safety Based on Driver-Vehicle Closed-Loop Control System Dynamics." In Vehicle System Dynamics. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2019-4_5.

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Zhao, Youqun, and Fen Lin. "States and Parameters Estimation in the Vehicle System Dynamics." In Vehicle System Dynamics. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2019-4_7.

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Conference papers on the topic "Vehicle System"

1

Sahu, Ayush, Avani Katlana, Arpita Sharma, Maya Yadav Baniya, Sumitra Sureliya, and Shubhrata Kanungo. "Vehicle Rental Management System: OnDemand Vehicle Ride." In 2024 International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET). IEEE, 2024. http://dx.doi.org/10.1109/acroset62108.2024.10743592.

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Vantsevich, Vladimir, David Gorsich, Jesse Paldan, Jordan Whitson, Brian Butrico, and Oleg Sapunkov. "Vehicle Dynamic Factor Characterized by Actual Velocity and Combined Influence of the Transmission and Driveline System." In 11th Asia-Pacific Regional Conference of the ISTVS. International Society for Terrain-Vehicle Systems, 2022. http://dx.doi.org/10.56884/arao9883.

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A vehicle’s dynamic factor characterizes the potential that can be created by the powertrain that may be utilized to overcome the rolling resistance, grade resistance, and accelerate the vehicle. The dynamic factor is commonly given as a function of the vehicle's theoretical velocity and computed using the powertrain characteristics without taking into account the effect of the driveline configuration which can impact the tire slippages and vehicle’s actual velocity. The velocity reduction due to tire slip can considerably impact the vehicle speed for off-road vehicles operating with large traction requirements. In this paper, a new approach to interpretation of the dynamic factor is presented which is based on the vehicle's actual velocity and driveline characteristics. The computation of the actual velocity accounts for the individual tire slippages of vehicles with multiple driving axles, which is influenced by the ground condition and power splitting characteristics of the driveline. A comparison of the conventional and proposed approach is given for a 4x4 off-road vehicle. A set of factors for vehicle design are proposed based on integral qualities of the ideal and actual dynamic factor to characterize the combined influence of the transmission and driveline system to utilize the engine power for vehicle acceleration performance.

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Kassem, Abdallah, Rabih Jabr, Ghady Salamouni, and Ziad Khairallah Maalouf. "Vehicle Black Box System." In 2008 2nd Annual IEEE Systems Conference. IEEE, 2008. http://dx.doi.org/10.1109/systems.2008.4519050.

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Che, Judy, and Mark Jennings. "Vehicle System Modeling for HEV Systems Development." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34650.

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The sheer complexity of engineering propulsion systems for hybrid electric vehicles (HEV) demands the use of model-based development processes supported by comprehensive, robust vehicle system models. A Vehicle System Modeling (VSM) process has been developed to provide high-quality, application-appropriate vehicle system models in time to support critical HEV engineering activities. The process seeks to manage the complexity of the large number of model variants that are required to support a vehicle program. Additionally, it drives model development and aligns modeling activities with program timing. This paper describes the key elements of the VSM process and presents an application example. The application example illustrates the process by which a highly detailed HEV system model is created from an initial, base conventional vehicle system model via integration of high fidelity component models into a re-usable vehicle system modeling framework. The component models come from a variety of modeling tools and environments, which introduces additional complexity that must be managed. Results generated from the model show the complex system interactions that must be addressed by the vehicle control strategy. This re-enforces the notion that such modeling is required to achieve robust system designs.

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Yadav, Amrendra Singh, Aditi Tripathi, Ashutosh Kumar, and Dharmendra Singh Kushwaha. "Vehicle-to-Vehicle Energy Trading Blockchain System for Electric Vehicles." In 2024 16th International Conference on Knowledge and Smart Technology (KST). IEEE, 2024. http://dx.doi.org/10.1109/kst61284.2024.10499695.

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S. L., Sini, Thenmozhy P, and Abisha Jey J. B. "Vehicle Overload Detection System Using Pic Microcontroller." In The International Conference on scientific innovations in Science, Technology, and Management. International Journal of Advanced Trends in Engineering and Management, 2023. http://dx.doi.org/10.59544/sash1478/ngcesi23p121.

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Most of the road accidents in the present era are due to overloading the vehicles. Highways are where most accidents occur due to vehicle overloading. Most of the overloaded vehicles are truck/lorries and other vehicles are buses, car and bikes. Overloaded vehicles also damage to the road. Overloaded buses can cause passengers a variety of injuries in a crash, such as broken bones, herniated disc, organ damage etc. Nowadays there are very few systems to detect vehicle overloading in real time. The main purposeof this project realizes real-time detection of vehicle load.

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Kang, Namwoo, Fred M. Feinberg, and Panos Y. Papalambros. "Autonomous Electric Vehicle Sharing System Design." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46491.

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Car-sharing services promise “green” transportation systems. Two vehicle technologies offer marketable, sustainable sharing: Autonomous vehicles eliminate customer requirements for car pick-up and return, and battery electric vehicles entail zero-emissions. Designing an Autonomous Electric Vehicle (AEV) fleet must account for the relationships among fleet operations, charging station operations, electric powertrain performance, and consumer demand. This paper presents a system design optimization framework integrating four sub-system problems: Fleet size and assignment schedule; number and locations of charging stations; vehicle powertrain requirements; and service fees. A case study for an autonomous fleet operating in Ann Arbor, Michigan, is used to examine AEV sharing system profitability and feasibility for a variety of market scenarios.

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Lee, Ungki, Sunghyun Jeon, and Ikjin Lee. "Shared Autonomous Vehicle System Design for Battery Electric Vehicle (BEV) and Fuel Cell Electric Vehicle (FCEV)." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-67734.

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Abstract Shared autonomous vehicles (SAVs) encompassing autonomous driving technology and car-sharing service are expected to become an essential part of transportation system in the near future. Although many studies related to SAV system design and optimization have been conducted, most of them are focused on shared autonomous battery electric vehicle (SABEV) systems, which employ battery electric vehicles (BEVs) as SAVs. As fuel cell electric vehicles (FCEVs) emerge as alternative fuel vehicles along with BEVs, the need for research on shared autonomous fuel cell electric vehicle (SAFCEV) systems employing FCEVs as SAVs is increasing. Therefore, this study newly presents a design framework of SAFCEV system by developing an SAFCEV design model based on a proton-exchange membrane fuel cell (PEMFC) model. The test bed for SAV system design is Seoul, and optimization is conducted for SABEV and SAFCEV systems to minimize the total cost while satisfying the customer wait time constraint, and the optimization results of both systems are compared. From the results, it is verified that the SAFCEV system is feasible and the total cost of the SAFCEV system is even lower compared to the SABEV system. In addition, several observations on various operating environments of SABEV and SAFCEV systems are obtained from parametric studies.

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Ishida, Takaharu. "Feasible Study for the Availability of Electric Vehicles for the Stable Operation in Power System Network." In 1st International Electric Vehicle Technology Conference. Society of Automotive Engineers of Japan, 2011. http://dx.doi.org/10.4271/2011-39-7248.

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<div class="section abstract"><div class="htmlview paragraph">Electric vehicle will come into wide use in worldwide with the arrival of the Low-carbon society in the next twenty years. And total capacity of the battery on the electric vehicle in the power system network amounts for several Giga Watts, which corresponds to the capacity of several nuclear power plants. It is difficult for power system operator to forecast of the amount of the charging power because there is much uncertainty of using power on electric vehicles compared to the electric facility like air conditioner and so on. In order to operate the power system network stable, it is necessary for power system operator to control charging power of electric vehicle independently as controllable facilities.</div><div class="htmlview paragraph">We propose a “Smart Charging” concept based on the index for the security monitoring of power system network which makes power system operation more efficiently and makes electric vehicle owners more conveniently. A load dispatch system, like distribution energy management systems or community energy management systems can take care of the voltage control considering the charging schedule of the electric vehicle's owner in advance and the result of power system state estimation or load flow calculation.</div><div class="htmlview paragraph">In this paper, based on the hypothesis of spreading electric vehicle in a power system, a evaluation of charging that the electric vehicles starts simultaneously in the evening, a system structure of smart charging on electric vehicle based on voltage stability evaluation of power system, which distributes the charging power with more stable, and the test results of the smart power with the IEEJ standard data are explained.</div></div>

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Hamersma, Herman, and Schalk Els. "The Development of a Longitudinal Control System for a Sports-Utility-Vehicle." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12048.

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A common problem with sports-utility-vehicles is the low rollover threshold, due to a high center of gravity. Instead of modifying the vehicle to increase the rollover threshold, the aim of the control system is to prevent the vehicle from exceeding speeds that would cause the vehicle to reach its rollover threshold. The aim of the autonomous longitudinal control system, discussed here, is to improve the vehicle’s safety by controlling the vehicle’s longitudinal behavior. In order to develop a control system that autonomously controls the longitudinal degree of freedom, an experimentally validated mathematical model of the test vehicle (a 1997 Land Rover Defender 110 Wagon) was used — the model was developed in MSC.ADAMS/View. The control system was developed by generating a reference speed that the vehicle must track. This reference speed was formulated by taking into account the vehicle’s limits due to lateral acceleration, combined lateral and longitudinal acceleration and the vehicle’s performance capabilities. The MSC.ADAMS/View model of the test vehicle was used to evaluate the performance of the control system on various racetracks for which the GPS coordinates were available. The simulation results indicate that the control system performed as expected by limiting the vehicle’s acceleration vector to the prescribed limits.

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Reports on the topic "Vehicle System"

1

D'Onofrio, L. Combat Vehicle Identification System (CVIS). Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada219184.

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Pegau, W. S., Timothy Boyd, and Hemantha Wijesekera. Autonomous Underwater Vehicle Sampling System. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada622172.

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Ashmore, Colin. Logistic Vehicle System (LVS) Mod Demo Vehicle Armour Protection Kit Installation. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada401565.

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Papatheofanis, B. J., M. L. Hasenack, R. T. Teller, and G. F. Ramsey. Global positioning automatic vehicle location system. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/444037.

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Stinson, Margaret, Dawn Garmenn, and Chris Harris. Logistic Vehicle System Replacement Cost Estimate. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada401488.

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Ballard, Robert D. The JASON Remotely Operated Vehicle System. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada277885.

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Contreras, Ulysses, Guangbu Li, Ahmed A. Shabana, Paramsothy Jayakumar, Michael D. Letherwood, and Craig D. Foster. Soil Models and Vehicle System Dynamics. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada578850.

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Mahyuddin, Andi Isra, and Pulung Nurprasetio. Design Calculation of Vehicle Suspension System. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0181.

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Lord, Carter K. Concept Study - Vehicle Waste Disposal System. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada169045.

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Chien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu, and Wei Lin. Origin-Destination Vehicle Counts in Weaving Area Utilizing Existing Field Data. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317719.

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Vehicle weaving describes the vehicle lane changes in areas between consecutive merge and diverge ramp junctions. During heavy traffic, vehicle weaving will slow down traffic, cause congestion, and increase the possibility of crashes. It is desirable to automatically capture the weaving information using camera videos in the weaving areas. The currently existing weaving area analysis is very tedious and labor-intensive. This report describes a novel system that uses the videos simultaneously captured at the entry and exit of the weaving area to find the number and percentage of vehicles from each lane on the entry to each lane on the exit. The system provides a convenient user interface, uses AI techniques to detect vehicles from camera videos, uses vehicle motion to identify the lanes, tracks and matches the vehicles at the entry and exit in the lane level, and presents the weaving analysis result in a user-friendly Sankey diagram. Compared to the other existing weaving analysis methods, this system can reduce the human work hours by at least 90%.

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