Relevant bibliographies by topics / Control vehicular

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Control vehicular'

Author: Grafiati
Published: 11 September 2021
Last updated: 11 February 2022

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Journal articles on the topic "Control vehicular"

1

Castrucci, P., and R. Godoy. "Vehicular traffic jam control." IEEE Latin America Transactions 4, no. 1 (March 2006): 21–26. http://dx.doi.org/10.1109/tla.2006.1642445.

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Kathuria, Vinish. "Vehicular pollution control in Delhi." Transportation Research Part D: Transport and Environment 7, no. 5 (September 2002): 373–87. http://dx.doi.org/10.1016/s1361-9209(02)00006-8.

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M, Jerinjose, Artheeswari A, Ashika R, Ayesha A, and Backiyalakshmi R. "Congestion Control in Vehicular Network with Fair Beaconing Rate Adaptation." SIJ Transactions on Computer Networks & Communication Engineering 05, no. 03 (June 9, 2017): 01–03. http://dx.doi.org/10.9756/sijcnce/v5i3/05010050101.

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Ikeda, Yuichi, Takashi Nakajima, and Yuichi Chida. "Vehicular slip ratio control using nonlinear control theory." IFAC Proceedings Volumes 44, no. 1 (January 2011): 8403–8. http://dx.doi.org/10.3182/20110828-6-it-1002.01325.

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IKEDA, Yuichi, Takashi NAKAJIMA, and Yuichi CHIDA. "Vehicular Slip Ratio Control Using Nonlinear Control Theory." Journal of System Design and Dynamics 6, no. 2 (2012): 145–57. http://dx.doi.org/10.1299/jsdd.6.145.

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Pedraza, Luis Fernando, César Augusto Hernández, and Danilo Alfonso López. "Control de tráfico vehicular usando ANFIS." Ingeniare. Revista chilena de ingeniería 20, no. 1 (April 2012): 79–88. http://dx.doi.org/10.4067/s0718-33052012000100008.

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Shia, Victor A., Yiqi Gao, Ramanarayan Vasudevan, Katherine Driggs Campbell, Theresa Lin, Francesco Borrelli, and Ruzena Bajcsy. "Semiautonomous Vehicular Control Using Driver Modeling." IEEE Transactions on Intelligent Transportation Systems 15, no. 6 (December 2014): 2696–709. http://dx.doi.org/10.1109/tits.2014.2325776.

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Orosz, Gábor, R. Eddie Wilson, and Gábor Stépán. "Traffic jams: dynamics and control." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368, no. 1928 (October 13, 2010): 4455–79. http://dx.doi.org/10.1098/rsta.2010.0205.

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This introductory paper reviews the current state-of-the-art scientific methods used for modelling, analysing and controlling the dynamics of vehicular traffic. Possible mechanisms underlying traffic jam formation and propagation are presented from a dynamical viewpoint. Stable and unstable motions are described that may give the skeleton of traffic dynamics, and the effects of driver behaviour are emphasized in determining the emergent state in a vehicular system. At appropriate points, references are provided to the papers published in the corresponding Theme Issue.
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Gupta, Suryakant, Nidhi Hiremath, Samiksha Raut, Gaurav Datkhile, and Prasiddh Trivedi. "Electronic Stability Control of Vehicles." ITM Web of Conferences 32 (2020): 01009. http://dx.doi.org/10.1051/itmconf/20203201009.

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The paper presents the Electronic Control Unit of vehicles with the main focus on Anti-lock braking system. ABS is used in traction control and to maintain vehicle stability. The paper describes the detail study of CarSim model and it gives us the most accurate and efficient method to simulate the performance of vehicle and how ABS can be used in different scenarios. The result of vehicular model without and with ABS for different test cases is presented in the paper. The vehicular model is implemented on MATLAB Simulink environment and the corresponding results are presented.
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Kayarga, Tanuja, and H. M. Navyashree. "A Novel Framework to Control and Optimize the Traffic Congestion Issue in VANET." International Journal of Engineering & Technology 7, no. 2.31 (August 24, 2018): 245. http://dx.doi.org/10.14419/ijet.v7i3.31.18234.

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In the recent times due to the increase of vehicular nodes in a vehicular communication network, there is a need of developing efficient systems in order to optimize the vehicular traffic congestion issues in urban areas. The current research trends shows that most of the conventional studies focused on developing fuzzy inference systems based vehicular traffic congestion model which has gained lots of attention on detecting and minimizing the congestion levels.We have proposed a new approach towards detection and controlling of traffic congestion in VANET. The proposed system utilizes the communication channels very efficiently and irrespective of any kind of overload. This proposed system aims to introduce a novel framework for identifying traffic jam on Vehicular Ad-hoc Networks. In order to detect and minimize the level of congestion our approach will use a fuzzy logic based approach to notify the drivers about available routes during the traffic congestion. An experimental prototype will be set up to enable the graphical simulation.
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Dissertations / Theses on the topic "Control vehicular"

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Dadras, Soodeh. "Security of Vehicular Platooning." DigitalCommons@USU, 2019. https://digitalcommons.usu.edu/etd/7445.

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Platooning concept involves a group of vehicles acting as a single unit through coordination of movements. While Platooning as an evolving trend in mobility and transportation diminishes the individual and manual driving concerns, it creates new risks. New technologies and passenger’s safety and security further complicate matters and make platooning attractive target for the malicious minds. To improve the security of the vehicular platooning, threats and their potential impacts on vehicular platooning should be identified to protect the system against security risks. Furthermore, algorithms should be proposed to detect intrusions and mitigate the effects in case of attack. This dissertation introduces a new vulnerability in vehicular platooning from the control systems perspective and presents the detection and mitigation algorithms to protect vehicles and passengers in the event of the attack.
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Ruiz, de Somocurcio Salas Alvaro Enrique. "Control de Tráfico Vehicular Automatizado Utilizando Lógica Difusa." Bachelor's thesis, Universidad Ricardo Palma. Programa Cybertesis PERÚ, 2008. http://cybertesis.urp.edu.pe/urp/2008/ruiz_ae/html/index-frames.html.

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Goudarzi, Forough. "Non-cooperative beaconing control in vehicular ad hoc networks." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15608.

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The performance of many protocols and applications of Vehicular Ad hoc Networks (VANETs), depends on vehicles obtaining enough fresh information on the status of their neighbouring vehicles. This should be fulfilled by exchanging Basic Safety Messages (BSMs) also called beacons using a shared channel. In dense vehicular conditions, many of the beacons are lost due to channel congestion. Therefore, in such conditions, it is necessary to control channel load at a level that maximizes BSM dissemination. To address the problem, in this thesis algorithms for adaptation of beaconing to control channel load are proposed. First, a position-based routing protocol for VANETs is proposed and the requirement of adaptive beaconing to increase the performance of the protocol is indicated. The routing protocol is traffic-aware and suitable for city environments and obtains real-time traffic information in a completely ad hoc manner without any central or dedicated control, such as traffic sensors, roadside units, or information obtained from outside the network. The protocol uses an ant-based algorithm to find a route that has optimum network connectivity. Using information included in small control packets called ants, vehicles calculate a weight for every street segment that is proportional to the network connectivity of that segment. Ant packets are launched by vehicles in junction areas. To find the optimal route between a source and destination, a source vehicle determines the path on a street map with the minimum total weight for the complete route. The correct functionality of the protocol design has been verified and its performance has been evaluated in a simulation environment. Moreover, the performance of the protocol in different vehicular densities has been studied and indicated that in dense vehicular conditions the performance of the protocol degrades due to channel load created by uncontrolled periodic beaconing. Then, the problem of beaconing congestion control has been formulated as non-cooperative games, and algorithms for finding the equilibrium point of the games have been presented. Vehicles as players of the games adjust their beacon rate or power or both, based on the proposed algorithms so that channel load is controlled at a desired level. The algorithms are overhead free and fairness in rate or power or both rate and power allocation are achieved without exchanging excess information in beacons. Every vehicle just needs local information on channel load while good fairness is achieved globally. In addition, the protocols have per-vehicle parameters, which makes them capable of meeting application requirements. Every vehicle can control its share of bandwidth individually based on its dynamics or requirements, while the whole usage of the bandwidth is controlled at an acceptable level. The algorithms are stable, computationally inexpensive and converge in a short time, which makes them suitable for the dynamic environment of VANETs. The correct functionality of the algorithms has been validated in several high density scenarios using simulations.
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Bani, Younes Maram Younis Saleh. "Efficient Traffic Control Protocols for Vehicular Ad-Hoc Networks." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32060.

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Traffic efficiency applications over road networks have been investigated recently using VANETs. This area of research is primarily concerned with increasing the traffic fluency over road networks. In this thesis, we first propose an efficient and accurate protocol to detect congested road segments in a downtown area using VANETs. We refer to this protocol as the Efficient COngestion DEtection (ECODE) protocol. ECODE evaluates three different traffic characteristics of each road segment including traffic speed, traffic density, and the time required to travel the segment. Moreover, ECODE evaluates traffic characteristics and detects the congestion level in each direction of the road segment. In addition, we propose an intelligent, dynamic, distributed, and real-time path recommendations protocol. We refer to this protocol as Intelligent path reCOmenDation (ICOD) protocol. ICOD is the first path recommendation protocol that does not rely on a central database of gathered traffic data for each area of interest. Eliminating centralized behavior resolves bottleneck as well as single point of failure problems, which in turn minimizes congestion and collision problems in VANETs. Furthermore, ICOD selects the path towards each destination in a hop-by-hop manner, which makes the turn decision at each road intersection more accurate and real-time. Different variants of ICOD are introduced that consider travel time, travel distance, fuel consumption, gas emissions, and context-awareness of each road segment parameters. Moreover, two traffic balancing mechanisms are proposed in this thesis to distribute traffic over the road network evenly, namely Bal-Traf and Abs-Bal. These mechanisms eliminate the highly congested road segment scenarios that are caused by the path recommendation protocol. Bal-Traf detects and eliminates the highly congested output road segment at each road intersection. However, Abs-Bal aims to keep the traffic density balanced among all output road segments at each road intersection. Finally, we propose an Intelligent Traffic Light Controlling (ITLC) algorithm to schedule the phases of each traffic light at isolated road intersections. This algorithm aims to decrease the queuing delay time of competing traffic flows and to increase the throughput of each signalized road intersection. ITLC has also been adapted in this thesis to the Arterial Traffic Lights (ATLs) algorithm for arterial road network scenarios. In ATLs the expected platoons on the arterial street are considered in the scheduling algorithm of each traffic light located on the arterial street coordinates. Transmitting packets among these traffic lights report the main characteristics of each predicted platoon.
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Ghias, Nezhad Omran Nima. "Power grid planning for vehicular demand: forecasting and decentralized control." IEEE Transactions on Smart Grid, 2014. http://hdl.handle.net/1993/23891.

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Temporal and spatial distribution of incoming vehicular charging demand is a significant challenge for the future planning of power systems. In this thesis the vehicular loading is-sue is categorized into two classes of stationary and mobile; they are then addressed in two phases. The mobile vehicular load is investigated first; a location-based forecasting algorithm for the charging demand of plug-in electric vehicles at potential off-home charging stations is proposed and implemented for real-world case-studies. The result of this part of the re-search is essential to realize the scale of fortification required for a power grid to handle vehicular charging demand at public charging stations. In the second phase of the thesis, a novel decentralized control strategy for scheduling vehicular charging demand at residential distribution networks is developed. The per-formance of the proposed algorithm is then evaluated on a sample test feeder employing real-world driving data. The proposed charging scheduling algorithm will significantly postpone the necessity for upgrading the assets of the network while effectively fulfilling customers’ transportation requirements and preferences.
October 2014
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Kalogiannis, Konstantinos. "Investigating Attacks on Vehicular Platooning and Cooperative Adaptive Cruise Control." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-292951.

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Autonomous vehicles are a rising technology that aims to change the way people think about mobility in the future. A crucial step towards that goal is the assurance that malicious actors cannot instigate accidents that could lead to damages or loss of life. Currently, vehicle platoons, that is vehicles cooperating together to increase fuel saving and driver comfort, are used in limited environments and are the focus of research aimed to make them suitable for real-world wide usage. In that regard, guaranteeing that the vehicle is able to operate alongside other entities, autonomous or not, in the traditional sense is not adequate. The computer systems involved can be the target or the source of a malicious act without the knowledge of the operator in either case. In the context of platooning, these acts can have devastating effects and can originate either from other vehicles on the road or from within, from compromised vehicles that are part of the formation. In this thesis, the focus is centered around the latter. We investigate jamming and data falsification attacks that aim to either destabilize the platoon, thus, reducing its benefits or provoke an accident. These attacks are more difficult to discern and will range from simple falsification attacks to more complex ones that aim to bypass defensive mechanisms. In that sense, we direct our experiments against the platoon maneuvers that are a core functionality of platooning and are required for its nominal operation. The results of this analysis show that several attacks can lead to accidents with position falsification being the most productive. It is also demonstrated that a malicious leader can pose a serious threat to the viability of the platoon because of his unique capability of interacting with all the platoon members. Attacks during the platoon maneuvers are demonstrated to pose a threat, not only to the stability of the formation but also the nature of the platooning application itself. This is achieved by effectively isolating the platoon from potential joiners.
Självkörande fordon är en framväxande teknologi med mål att ändra människors framtida inställning till mobilitet. Ett kritiskt steg mot målet är att försäkra sig om att aktörer med ont uppsåt inte kan orsaka olyckor som kan leda till skador eller dödsfall. För närvarande används fordonståg, alltså fordon som samarbetar för att minska bränsleförbrukning och öka körkomfort, i avgränsade miljöer med fokus på att anpassa dessa för verklig användning. Att garantera att fordonet kan köras tillsammans med andra enheter är då inte tillräckligt eftersom dessa system kan bli mål för externa och interna attacker som kan ha förödande konsekvenser. Denna uppsats fokuserar på det senare fallet och undersöker interna datafalsifierings- och frekvensstörningsattacker avsedda att destabilisera fordonståg i syfte att minska deras fördelar eller provocera fram en olycka. Dessa attacker är svåra att urskilja och inkluderar allt från enkla falsifikationsattacker till komplexa attacker som syftar till att kringgå specifika försvarsmekanismer. Med det i åtanke inriktar vi våra experiment mot de manövrar som är en del av fordonstågens grundfunktionalitet och krävs för deras nominella drift. Resultaten av arbetet visar att under fordonstågmanövrar så kan flertalet av de utvärderade attackerna orsaka olyckor och att attacker genom förfalskning av position var speciellt förödande. Vi har även påvisat att en fordonstågsledare med ont uppsåt utgör ett speciellt allvarligt hot mot fordonstågets funktionalitet på grund av dennes unika möjlighet att interagera med alla medlemmar. Attacker under manövrar har visats utgöra ett hot, inte bara mot stabiliteten av formationen, men även mot de grundläggande egenskaperna hos systemet själv såsom att isolera fordonståget från nya medlemmar.
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Maslekar, Nitin. "Adaptive Traffic Signal Control System Based on Inter-Vehicular Communication." Rouen, 2011. http://www.theses.fr/2011ROUES046.

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Traffic signal control, which is an integral part of Intelligent Transportation System (ITS), plays an important role in regulating vehicular flow at road intersections. With the increase of vehicular traffic, there has been a significant degradation in the functional efficiency of signal systems. Traditional systems are not capable of adjusting the timing pattern in accordance with vehicular demand. This results in excessive delays for road users. Hence it is necessary to develop dynamic systems that can adjust the timing patterns according to traffic demand. Of the various available techniques, Vehicular Adhoc Networks (VANETs) are attracting considerable attention from the research community and the automotive industry to implement dynamic systems. In this context, exchanging data among vehicles is one of the key technological enablers through which the density of vehicles approaching the intersection can be predicted. This requires extensive collaboration between vehicles. Inherent properties and limitations of VANETs, distributing information among the vehicles is a very challenging task. In this thesis, an adaptive traffic signal control system based on car-to-car communication (VANETs) is proposed. To achieve this, a data dissemination technique titled, Clustering in DiRectIon in Vehicular Environment (C-DRIVE) is implemented. In C-DRIVE, the formation of clusters is based on the direction metric. Precisely this metric defines the direction a vehicle will travel after crossing the intersection. To attain stability within the clusters and to have accurate estimation of the density of vehicles, two policies are adapted. In the first policy, a clusterhead switching mechanism is defined. In the second method, termed as Modified C-DRIVE (MC-DRIVE), the clusterhead election policy is modified. In this modification the election policy is based on the stable cluster length. Once the clusters are formed, the elected cluster head will compute the density in its clusters and transmits the information to the traffic signal controller (TSC). With the density information of different lanes approaching the intersection, at the TSC an optimal cycle length is computed using the modified Webster’s model and based on the demand, required green splits are allotted to the various phase. The efficiency of this method is advocated through simulation results which show that the waiting time for vehicles and queue length at intersections are considerably reduced. It is also shown that the proposed solution is collision free at intersections. The proposed system is compared with a classic pre-timed system and an adaptive fuzzy logic system. The simulations also show that the data convergence time and the communication delay between vehicles and traffic signals do not compromise the efficiency of the system.
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MANZO, CRUZ FRANCISCO, and HERNÁNDEZ LUIS ARZATE. "Sistema de Semáforos Inteligentes para el Control de Tráfico Vehicular." Tesis de Licenciatura, Universidad Autónoma del Estado de México, 2019. http://hdl.handle.net/20.500.11799/99060.

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Mediante del diseño y la programación se logró desarrollar un sistema de semáforos inteligentes con procesamiento y algoritmos aplicados a secuencias de imágenes que controla el funcionamiento de los semáforos simulando la inteligencia humana. Este desarrollo brinda la oportunidad de conjugar la tecnología con servicios para la sociedad.
Actualmente, el congestionamiento de tráfico vehicular es un problema que afecta directamente a los diferentes sectores de la población específicamente con pérdida de tiempo, obstrucción de avenidas por largas filas, acumulación de vehículos e incapacidad para definir la duración de viajes. En los últimos años los sistemas inteligentes han adquirido una gran trascendencia en el uso de tecnologías para la solución de problemas en zonas urbanas. Con ayuda de un sistema de semáforos inteligentes para el control de tráfico se puede disminuir considerablemente el congestionamiento en las intersecciones de avenidas que presentan una mayor afluencia vehicular. El desarrollo de un sistema de semáforos inteligentes para el control de tráfico vehicular es posible mediante la implementación de tecnologías que involucran técnicas de procesamiento de imágenes y visión artificial. Tecnologías de uso libre que permiten un desarrollo a bajo costo como “Python” (Lenguaje de programación) y librerías como “OPEN CV”. Las técnicas de visión artificial simulan la observación de los seres humanos.
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Tusset, Ângelo Marcelo. "Controle ótimo aplicado em modelo de suspensão veicular não-linear controlada através de amortecedor magneto-reológico." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2008. http://hdl.handle.net/10183/15395.

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Este trabalho apresenta uma proposta para o controle da suspensão veicular utilizando o amortecedor magneto-reológico, sendo o controle proposto composto pela associação de duas estratégias de controle, o controle ótimo e o controle fuzzy. O Controle ótimo é utilizado para determinar a força a ser utilizada pelo amortecedor magneto-reológico, e o controle fuzzy é utilizado para determinar a corrente elétrica, a ser utilizada no amortecedor magento-reológico e é obtido considerando o modelo de Mandani. Para o controle fuzzy, são consideradas duas entradas, a velocidade de deslocamento do pistão do amortecedor e a força prevista pelo controle ótimo, e uma saída, a corrente elétrica [A]. Para demonstrar a eficiência do controle proposto são consideradas simulações computacionais, utilizando um modelo matemático não-linear de um quarto de veículo. A análise do desempenho do controle é realizada, considerando excitações provocadas por irregularidades na pista, as irregularidades são representadas por entradas tipo degrau, impulso e senoidal. As simulações computacionais são realizadas, utilizando o Matlab® e o Simulink. Os resultados das simulações demonstram que o controle proposto aumenta a segurança do veículo e melhora sua dirigibilidade, reduzindo o deslocamento vertical do conjunto eixo e roda e o espaço de trabalho do amortecedor, quando comparado como o sistema passivo. Também contribui com o conforto dos passageiros, reduzindo as oscilações da carroceria, mantendo os níveis de aceleração abaixo dos considerados desconfortáveis pela norma BS 6841, 1987. Para verificar o comportamento do controle proposto, diante de incertezas, são realizadas simulações computacionais, considerando a possibilidade de erros paramétricos. As simulações, considerando os erros paramétricos, demonstram que o controle ótimo, mesmo quando sujeito a incertezas, permanece sendo estável e ótimo.
This work presents a proposal for control of vehicular suspension using the magneto-rheological damper, the proposed control is composed by association of two control strategy, the optimal control and the fuzzy control. The optimal control is used to determine the power to be applied by the magneto-rheological damper, and the fuzzy control is used to determine the electric current to be used in the magneto-rheological damper and is obtained considering the Mandani's model. For the fuzzy control two inputs are considered, the velocity of the piston's damper and the force provided by the optimal control, and one output, the electric current [A]. To demonstrate the efficiency of the proposed control, computational simulations are considered using a nonlinear mathematical model for a quarter-car. The performance of the control is analyzed considering excitements provoked by irregularities in the track, the irregularities are represented by entrances step type, pulse and sinusoidal. The computational simulations are performed using the Matlab® and the Simulink. The results of simulations show that the proposed control increases the vehicle security and improves the drive ability by reducing the vertical wheel displacement and the workspace to be used by the damper when compared to the passive system. It also helps with the comfort of passengers, reducing the bodywork oscillations, maintaining levels of accelerating below considered uncomfortable by standard BS 6841, 1987. To verify the behavior of the proposed control, in the face of uncertainty, computational simulations are carried out, considering the possibility of parametric errors. The simulations, show that the Optimal Control, even when subject to uncertainties, remains stable and optimal.
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Giang, Anh Tuan. "Capacity of vehicular Ad-hoc NETwork." Phd thesis, Université Paris Sud - Paris XI, 2014. http://tel.archives-ouvertes.fr/tel-00989836.

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In recent years, Inter Vehicle Communication (IVC) has become an intensive research area, as part of Intelligent Transportation Systems. It supposes that all, or a subset of the vehicles is equipped with radio devices, enabling communication between them. IEEE 802.11p (standardized for vehicular communication) shows a great deal of promise. By using ad hoc mode, this radio technology allows vehicles to extend their scopes of communication and thus forming a Multi-hop wireless Ad-hoc NETwork, also called Vehicular Ad-hoc NETwork (VANET). This thesis addresses a fundamental problem of VANET: the network capacity. Two simple theoretical models to estimate this capacity have been proposed: a packing model and a Markovian point process model. They offer simple and closed formulae on the maximum number of simultaneous transmitters, and on the distribution of the distance between them. An accurate upper bound on the maximum capacity had been derived. An analytical formula on distribution of the transmitters had been presented. This distribution allows us to optimize Clear Channel Assessment (CCA) parameters that leads to an optimization of the network capacity.In order to validate the approach of this thesis, results from the analytical models are compared to simulations performed with the network simulator NS-3. Simulation parameters was estimated from real experimentation. Impact of different traffic distributions (traffic of vehicles) on the network capacity is also studied. This thesis also focuses on extended perception map applications, which use information from local and distant sensors to offer driving assistance (autonomous driving, collision warning, etc.). Extended perception requires a high bandwidth that might not be available in practice in classical IEEE 802.11p ad hoc networks. Therefore, this thesis proposes an adaptive power control algorithm optimized for this particular application. It shows through an analytical model and a large set of simulations that the network capacity is then significantly increased.
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Books on the topic "Control vehicular"

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Status of the vehicular pollution control programme in India. Delhi: Central Pollution Control Board, Ministry of Environment & Forests, 2010.

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India. Central Pollution Control Board. PR Division, ed. "Assessment of vehicular pollution problems due to devotees/tourists at religious/tourist places & development of vehicular pollution control & ambient air quality management plan" & Kumbh Mela, 2010: Peak & lean season : Haridwar & Mussoorie. Delhi: PR Division, Central Pollution Control Board, Ministry of Environment & Forests, 2012.

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Nicaragua. Ley no. 431: Ley para el régimen de circulación vehicular e infracciones de tránsito ; Decreto no. 32-97 : Reglamento general para el control de emisiones de los vehículos automotores de Nicaragua. Nicaragua: Editorial Jurídica, 2003.

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author, Gordon-Harris Tory, ed. Vehiculos de emergencia. New York: Scholastic, 2013.

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Vernon, McDonald P., and Lyndon B. Johnson Space Center., eds. Multimodal perception and multicriterion control of nested systems: I. Coordination of postural control and vehicular control. Houston, Tex: National Aeronautics and Space Administration, Lyndon B. Johnson Space Center, 1997.

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Vernon, McDonald P., and Lyndon B. Johnson Space Center., eds. Multimodal perception and multicriterion control of nested systems: I. Coordination of postural control and vehicular control. Houston, Tex: National Aeronautics and Space Administration, Lyndon B. Johnson Space Center, 1997.

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Wassim, Najm, and John A. Volpe National Transportation Systems Center (U.S.), eds. Synthesis report: Examination of target vehicular crashes and potential ITS countermeasures. [Washington, D.C.]: National Highway Traffic Safety Administration, 1995.

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Khare, Mukesh, and S. M. Shiva Nagendra. Artificial Neural Networks in Vehicular Pollution Modelling (Studies in Computational Intelligence). Springer, 2006.

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Parker, Philip M. The 2007-2012 World Outlook for Vehicular and Pedestrian Traffic Control Equipment and Electric Railway Signals. ICON Group International, Inc., 2006.

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Limebeer, D. J. N., and Matteo Massaro. Dynamics and Optimal Control of Road Vehicles. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198825715.001.0001.

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The broad aim of this book is to provide a comprehensive coverage of the modelling and optimal control of both two‐ and four‐wheeled road vehicles. The first focus of this book is a review of classical mechanics and its use in building vehicle and tyre dynamic models. The second is nonlinear optimal control, which is used to solve a range of minimum‐time, minimum‐fuel, and track curvature reconstruction problems. As is known classically, all thismaterial is bound together by the calculus of variations and stationary principles. The treatment of this material is supplemented with a large number of examples that highlight obscurities and subtleties in the theory. A particular strength of the book is its unified treatment of tyre, car, and motorcycle dynamics and the application of nonlinear optimal control to vehicle‐related problems within a single text. These topics are usually treated independently, and can only be found in disparate texts and journal articles. It is our contention that presentday vehicle dynamicists should be familiar with all of these topic areas. The aim in writing this book is to provide a comprehensive and yet accessible text that emphasizes particularly the theoretical aspects of vehicular modelling and control.
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Book chapters on the topic "Control vehicular"

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Jovanović, Mihailo R. "Vehicular Chains." In Encyclopedia of Systems and Control, 1524–31. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5058-9_221.

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Jovanović, Mihailo R. "Vehicular Chains." In Encyclopedia of Systems and Control, 1–10. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5102-9_221-1.

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Jovanović, Mihailo R. "Vehicular Chains." In Encyclopedia of Systems and Control, 2418–25. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-44184-5_221.

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Stanica, Razvan, Emmanuel Chaput, and André-Luc Beylot. "Congestion Control for Safety VehicularAd HocNetworks." In Vehicular Networks, 1–38. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118648759.ch1.

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Hartong, Mark, Rajni Goel, and Duminda Wijesekera. "Security and Dependability in Train Control Systems." In Vehicular Networking, 129–48. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470661314.ch6.

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Boussedjra, Mounir, Nitin Maslekar, Joseph Mouzna, and Houda Labiod. "Traffic Signal Control Systems and Car-to-Car Communications." In Vehicular Networks, 247–77. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118648759.ch7.

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Emmelmann, Marc. "System Design and Proof-of-Concept Implementation of Seamless Handover Support for Communication-Based Train Control." In Vehicular Networking, 227–56. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470661314.ch10.

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Smely, Dieter, Stefan Rührup, Robert K. Schmidt, John Kenney, and Katrin Sjöberg. "Decentralized Congestion Control Techniques for VANETs." In Vehicular ad hoc Networks, 165–91. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15497-8_6.

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Appaji, Impana, and P. Raviraj. "Vehicular Monitoring Using RFID." In Advances in Automation, Signal Processing, Instrumentation, and Control, 341–50. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8221-9_32.

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Chen, Lei, Ping Cui, Yun Chen, Kailiang Zhang, and Yuan An. "Remote Vehicular Control Network Test Platform." In Simulation Tools and Techniques, 246–55. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72795-6_19.

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Conference papers on the topic "Control vehicular"

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Subramanian, Sundar, Marc Werner, Shihuan Liu, Jubin Jose, Radu Lupoaie, and Xinzhou Wu. "Congestion control for vehicular safety." In the ninth ACM international workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2307888.2307900.

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Delle Monache, M. L., J. Sprinkle, R. Vasudevan, and D. Work. "Autonomous vehicles: From vehicular control to traffic contro." In 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, 2019. http://dx.doi.org/10.1109/cdc40024.2019.9029535.

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Wragge-Morley, Robert, Guido Herrmann, Phil Barber, and Stuart Burgess. "Information fusion for vehicular systems parameter estimation using an extended regressor in a finite time estimation algorithm." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915174.

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Martinec, Dan, and Zdenek Hurak. "Vehicular platooning experiments with LEGO MINDSTORMS NXT." In Control (MSC). IEEE, 2011. http://dx.doi.org/10.1109/cca.2011.6044393.

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Akinsanya, Akinsola, Manish Nair, Huiling Zhu, and Jiangzhou Wang. "Adaptive Power Control with Vehicular Trellis Architecture for Vehicular Communication Systems." In 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). IEEE, 2020. http://dx.doi.org/10.1109/vtc2020-spring48590.2020.9129488.

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Lazar, Silviu-Andrei, and Carmen-Elenea Stefan. "Future Vehicular networks: What control technologies?" In 2016 International Conference on Communications (COMM). IEEE, 2016. http://dx.doi.org/10.1109/iccomm.2016.7528203.

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Miroshnik and Lyamin. "Nonlinear control of multidrive vehicular robots." In Proceedings of IEEE International Conference on Control and Applications CCA-94. IEEE, 1994. http://dx.doi.org/10.1109/cca.1994.381246.

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Teng Liu, Alhussein A. Abouzeid, and A. Agung Julius. "Traffic flow control in vehicular communication networks." In 2017 American Control Conference (ACC). IEEE, 2017. http://dx.doi.org/10.23919/acc.2017.7963812.

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Yue Liu, Jun Bi, and Ju Yang. "Research on Vehicular Ad Hoc Networks." In 2009 Chinese Control and Decision Conference (CCDC). IEEE, 2009. http://dx.doi.org/10.1109/ccdc.2009.5192343.

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Ramotsoela, T. D., and J. D. le Roux. "An offline autonomous vehicular actuator control system." In 2016 IEEE 14th International Conference on Industrial Informatics (INDIN). IEEE, 2016. http://dx.doi.org/10.1109/indin.2016.7819343.

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Reports on the topic "Control vehicular"

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Lewis, P. S., and S. Ellis. Active noise and vibration control for vehicular applications. Office of Scientific and Technical Information (OSTI), December 1998. http://dx.doi.org/10.2172/562543.

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Prévost, C., R. Fernandes, and F. Canisius. Ground control point acquisition for Acadia Forest, New Brunswick, during winter 2016, in support of Canada Centre for Mapping and Earth Observation snow depth from unmanned aerial vehicule activities. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/299101.

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