Relevant bibliographies by topics / Simulation vehicle model

Academic literature on the topic 'Simulation vehicle model'

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Published: 10 December 2022
Last updated: 19 February 2023

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Journal articles on the topic "Simulation vehicle model"

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He, Yinglong, Michail Makridis, Konstantinos Mattas, Georgios Fontaras, Biagio Ciuffo, and Hongming Xu. "Introducing Electrified Vehicle Dynamics in Traffic Simulation." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 9 (July 7, 2020): 776–91. http://dx.doi.org/10.1177/0361198120931842.

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Many studies have highlighted the added value of incorporating vehicle dynamics into microsimulation. Such models usually focus on simulation of conventional vehicles, failing to account for the acceleration dynamics of electrified vehicles that have different power characteristics from those of internal combustion engine vehicles (ICEV). In addition, none of them have explicitly dealt with the vehicle’s deceleration characteristics. Although it is not commonly considered critical how a vehicle decelerates, unrealistic behaviors in simulations can distort both traffic flow and emissions results. The present work builds on the lightweight microsimulation free-flow acceleration (MFC) model and proposes an extension, marking the first attempt to address these research gaps. First, a comprehensive review of dynamics-based car-following (including free-flow) models is conducted. Second, the methodology of the MFC model to capture the dynamics of electrified vehicles is described. Then, the experimental setup in different dimensions is introduced for the model validation and implementation. Finally, the results of this study indicate that: (1) the acceleration and deceleration potential curves underlying the MFC model can accurately represent real dynamics of electrified vehicles tested on the chassis dynamometer; (2) smooth transitions can be guaranteed after implementing the MFC model in microsimulation; (3) when reproducing the on-road driving trajectories, the MFC model can deliver significant reductions in root mean square error (RMSE) of speed (by ∼69%) and acceleration (by ∼50%) compared with benchmarks; (4) the MFC model can accurately predict the vehicle 0–100 km/h acceleration specifications, with RMSE 49.4% and 56.8% lower than those of the Gipps model and the intelligent driver model (IDM), respectively.
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Na, Liu. "MATHEMATICAL MODELING OF HYBRID VEHICLE’S RECUPERATION BRAKING MODE." Management of Development of Complex Systems, no. 44 (November 30, 2020): 182–87. http://dx.doi.org/10.32347/2412-9933.2020.44.182-187.

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The paper considers the synthesis of mathematical model of recuperation braking mode for hybrid vehicle as a complex control object. The results of computer simulation as diagrams of transients of different operating parameters of hybrid vehicle power system are obtained on the basis of developed model. The analysis of simulation results confirms the adequacy of the mathematic model of the recuperation braking mode of hybrid vehicle to real processes. The developed model can be used for synthesis of automatic control systems of the electric motors, power converters, power supplies and chargers for hybrid vehicles. Hematical and simulation models of the hybrid vehicle’s recuperation braking mode is carried out. The presented models are based on equations of physics of processes and allow to study the recuperation braking mode of the different types hybrid vehicles under various conditions and parameters values (initial linear vehicle’s speed, electrical power of generator, inclination angle and the quality of the road surface, etc.). The designed mathematical model has a rather high adequacy to the real processes, which take place in the hybrid vehicles in the recuperation braking mode, that is confirmed by the obtained simulation results in the form of graphs of transients of the main variables changes. Further research should be conducted towards the development of the functional structures, control devices as well as software and hardware for automatic control systems of the different types hybrid vehicles on the basis of the obtained mathematical and simulation models.
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Jin, Li Qiang, and Chuan Xue Song. "A Parameterized Simulation Model for Multi-Axle Vehicle." Advanced Materials Research 186 (January 2011): 170–75. http://dx.doi.org/10.4028/www.scientific.net/amr.186.170.

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This paper presents a mathematical model for multi-axle vehicles Inclusive of steering system, suspension system, tire model, body system. Considering possible factors related to turning motion such as vehicle configuration and suspension, equations of motion were constructed to predict steerability and stability of these vehicles. Turning radius, slip angle at the mass center, and each wheel velocity were obtained by numerically solving the equations. The simulation model is made by MATLAB based on the mathematic equation. To analyze the influence of the wheelbase layout on vehicle stability, driving performance and stability of the vehicle with three wheelbase layout is simulated based on the present model. It is concluded that the wheelbase between second axle and third axle should be long to get better stability when vehicle turning with rear axles.
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Noei, Shirin, Mohammadreza Parvizimosaed, and Mohammadreza Noei. "Longitudinal Control for Connected and Automated Vehicles in Contested Environments." Electronics 10, no. 16 (August 18, 2021): 1994. http://dx.doi.org/10.3390/electronics10161994.

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The Society of Automotive Engineers (SAE) defines six levels of driving automation, ranging from Level 0 to Level 5. Automated driving systems perform entire dynamic driving tasks for Levels 3–5 automated vehicles. Delegating dynamic driving tasks from driver to automated driving systems can eliminate crashes attributed to driver errors. Sharing status, sharing intent, seeking agreement, or sharing prescriptive information between road users and vehicles dedicated to automated driving systems can further enhance dynamic driving task performance, safety, and traffic operations. Extensive simulation is required to reduce operating costs and achieve an acceptable risk level before testing cooperative automated driving systems in laboratory environments, test tracks, or public roads. Cooperative automated driving systems can be simulated using a vehicle dynamics simulation tool (e.g., CarMaker and CarSim) or a traffic microsimulation tool (e.g., Vissim and Aimsun). Vehicle dynamics simulation tools are mainly used for verification and validation purposes on a small scale, while traffic microsimulation tools are mainly used for verification purposes on a large scale. Vehicle dynamics simulation tools can simulate longitudinal, lateral, and vertical dynamics for only a few vehicles in each scenario (e.g., up to ten vehicles in CarMaker and up to twenty vehicles in CarSim). Conventional traffic microsimulation tools can simulate vehicle-following, lane-changing, and gap-acceptance behaviors for many vehicles in each scenario without simulating vehicle powertrain. Vehicle dynamics simulation tools are more compute-intensive but more accurate than traffic microsimulation tools. Due to software architecture or computing power limitations, simplifying assumptions underlying convectional traffic microsimulation tools may have been a necessary compromise long ago. There is, therefore, a need for a simulation tool to optimize computational complexity and accuracy to simulate many vehicles in each scenario with reasonable accuracy. This research proposes a traffic microsimulation tool that employs a simplified vehicle powertrain model and a model-based fault detection method to simulate many vehicles with reasonable accuracy at each simulation time step under noise and unknown inputs. Our traffic microsimulation tool considers driver characteristics, vehicle model, grade, pavement conditions, operating mode, vehicle-to-vehicle communication vulnerabilities, and traffic conditions to estimate longitudinal control variables with reasonable accuracy at each simulation time step for many conventional vehicles, vehicles dedicated to automated driving systems, and vehicles equipped with cooperative automated driving systems. Proposed vehicle-following model and longitudinal control functions are verified for fourteen vehicle models, operating in manual, automated, and cooperative automated modes over two driving schedules under three malicious fault magnitudes on transmitted accelerations.
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Sun, Dihua, Hui Liu, Geng Zhang, and Min Zhao. "The new car following model considering vehicle dynamics influence and numerical simulation." International Journal of Modern Physics C 26, no. 07 (April 30, 2015): 1550081. http://dx.doi.org/10.1142/s0129183115500813.

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In this paper, the car following model is investigated by considering the vehicle dynamics in a cyber physical view. In fact, that driving is a typical cyber physical process which couples the cyber aspect of the vehicles' information and driving decision tightly with the dynamics and physics of the vehicles and traffic environment. However, the influence from the physical (vehicle) view was been ignored in the previous car following models. In order to describe the car following behavior more reasonably in real traffic, a new car following model by considering vehicle dynamics (for short, D-CFM) is proposed. In this paper, we take the full velocity difference (FVD) car following model as a case. The stability condition is given on the base of the control theory. The analytical method and numerical simulation results show that the new models can describe the evolution of traffic congestion. The simulations also show vehicles with a more actual acceleration of starting process than early models.
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Szántó, András, and Sándor Hajdu. "Vehicle Modelling and Simulation in Simulink." International Journal of Engineering and Management Sciences 4, no. 1 (March 3, 2019): 260–65. http://dx.doi.org/10.21791/ijems.2019.1.33.

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In this paper a vehicle dynamics model is presented, which is an example that contains all the necessary aspects of making a decent vehicle model. Several examples show the use of such a model: basic vehicle dynamics phenomena can be recognized with the simulation of a detailed vehicle model. We are dealing with the connection between downforce and under/oversteer in this paper. In addition, the use of numerical simulations in the field of control systems is pointed out by an example of simulating an ABS control for the vehicle.
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Wang, Zewei, Xingjun Hu, Zheng Hui, Guo Yu, Wei Lan, and Fei Liu. "Aerodynamic characteristics of MIRA automobile model based on fluid–structure coupling." AIP Advances 12, no. 3 (March 1, 2022): 035251. http://dx.doi.org/10.1063/5.0083618.

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In this paper, the aerodynamic characteristics of a vehicle model are analyzed through numerical simulation considering the fluid–structure interaction (FSI) effect, and the accuracy of the simulation method is verified by comparison with the wind tunnel experiment. Then, the wind-induced vibration of vehicles under time-varying crosswind is studied and applied to engineering problems, such as vehicle sideslip and roll. The results show that the deviation between the FSI simulation and wind tunnel test is less than 10%, proving that the numerical method is feasible. The FSI effect on the aerodynamic lift is obvious, and its influence mechanism is mainly due to the change in body position, which changes the topological structure of the shedding or separated vortex in the flow field. As for the aerodynamic lift, a big gap exists between the results of the numerical simulations with and without coupling; high-intensity side wind will seriously affect the vehicle stability, and the uncoupled numerical simulation decreases the accuracy of the vehicle design.
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Wang, Rui, Hao Zhang, Xian Sheng Li, Xue Lian Zheng, and Yuan Yuan Ren. "Vehicle Dynamics Model Establishing and Dynamic Characteristic Simulation." Applied Mechanics and Materials 404 (September 2013): 244–49. http://dx.doi.org/10.4028/www.scientific.net/amm.404.244.

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By establishing bus simplify coordinate system model and equivalent mechanical model, inertial forces and external forces are analyzed through vehicle lateral movement and vehicle's yaw motion and roll motion. Three degrees of freedom linear motion equation of vehicle is established taking into account lateral motion, yawing movement and rolling motion of vehicle and it can be solved by using method of state space equation. Vehicle dynamic characteristics are analyzed by using this method and programming with Matlab. Vehicle in steering wheel angle step response is analyzed under the conditions of different tire wheel cornering stiffness, moment of inertia, height of center of mass. The results show that increasing rear wheel cornering stiffness, reducing front wheel cornering stiffness and center of mass height, which can effectively improve stability of vehicle. Simulation results provide a theoretical basis and reference for the selection and design of vehicle.
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Xiao, Lin, Meng Wang, and Bart van Arem. "Realistic Car-Following Models for Microscopic Simulation of Adaptive and Cooperative Adaptive Cruise Control Vehicles." Transportation Research Record: Journal of the Transportation Research Board 2623, no. 1 (January 2017): 1–9. http://dx.doi.org/10.3141/2623-01.

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Adaptive cruise control (ACC) and cooperative adaptive cruise control (CACC) are important technologies for the achievement of vehicle automation, and their effect on traffic systems generally is evaluated with microscopic traffic simulations. A successful simulation requires realistic vehicle behavior and minimal vehicle collisions. However, most existing ACC-CACC simulation studies used simplified models that were not based on real vehicle response. The studies rarely addressed collision avoidance in the simulation. The study presented in this paper developed a realistic and collision-free car-following model for ACC-CACC vehicles. A multiregime model combining a realistic ACC-CACC system with driver intervention for vehicle longitudinal motions is proposed. This model assumes that a human driver resumes vehicle control either according to his or her assessment or after a collision warning asks the driver to take over. The proposed model was tested in a wide range of scenarios to explore model performance and collision possibilities. The testing scenarios included three regular scenarios of stop-and-go, approaching, and cut-out maneuvers, as well as two extreme safety-concerned maneuvers of hard brake and cut-in. The simulation results show that the proposed model is collision free in the full-speed-range operation with leader accelerations within −1 to 1 m/s2 and in approaching and cut-out scenarios. Those results indicate that the proposed ACC-CACC car-following model can produce realistic vehicle response without causing vehicle collisions in regular scenarios for vehicle string operations.
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Susarev, Sergey V., Sergey P. Orlov, Elizaveta E. Bizyukova, and Roman A. Uchaikin. "APPLICATION OF PETRI NET MODELS IN THE ORGANIZATION OF AUTONOMOUS AGRICULTURAL VEHICLE MAINTENANCE." Bulletin of the Saint Petersburg State Institute of Technology (Technical University) 58 (2021): 98–104. http://dx.doi.org/10.36807/1998-9849-2021-58-84-98-104.

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A complex of simulation models was developed to study the processes of repair and maintenance of the system of autonomous agricultural vehicles. The general structure of the diagnostic system for robotic agricultural vehicles was presented. The hierarchical structure of simulation models for a robotic vehicle was described. A temporary colored Petri net model was proposed. The model makes it possible to evaluate the effectiveness of predictive maintenance for a given failure rate of vehicle units and aggregates. A formal description of an autonomous vehicle was developed in the form of the primary parameter multisets. The experimental results of the simulation modelling confirmed the model adequacy. The results are applied to study the work of an autonomous vehicle group in agricultural fields under difficult operating conditions.
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Dissertations / Theses on the topic "Simulation vehicle model"

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Shanmugam, Karthikeya. "Simulation model development of vehicle dynamics-brakes." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-393300.

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Snare, Matthew C. "Vehicle Dynamics Model for Predicting Maximum and Typical Acceleration Rates for Passenger Vehicles." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/34779.

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Effectively modeling the acceleration behavior of vehicles is an important consideration in a variety of transportation engineering applications. The acceleration profiles of vehicles are important in the geometric design of roadways and are used to model vehicle behavior in simulation software packages. The acceleration profile of the vehicle is also a critical parameter in fuel consumption and emissions models. This paper develops and validates a vehicle dynamics model to predict the maximum acceleration rates of passenger vehicles. The model is shown to be superior to other similar models in that it accurately predicts speed and acceleration profiles in all domains and for a variety of vehicle types. The paper also modifies the model by introducing a reduction factor, which enables the model to predict the typical acceleration patterns for different driver types. The reduction factors for the driving population are shown to follow a normal distribution with a mean of 0.60 and a standard deviation of 0.08. The paper also provides new data sets containing maximum and typical acceleration profiles for thirteen different vehicles and twenty different drivers.
Master of Science
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Kanarat, Amnart. "Modeling and Simulation of a Multi-Unit Tracked Vehicle." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/9755.

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A multi-unit tracked vehicle such as a continuous haulage system is widely used in underground mining applications due to its high mobility and payload capacity on rugged and soft terrain. To automate such a system, a high fidelity model of a tracked vehicle is essential in designing a controller for each tracked vehicle in the system, and a system model is required to simulate its response to input commands. This thesis presents the 2-D mathematical models of a tracked vehicle and a multi-unit tracked vehicle. All existing track-terrain interaction models are investigated and modified. By employing the modified track-terrain interaction model and applying Newton's second law of motion, the equations of motion of both single and multi-unit tracked vehicles can be derived. Computer programs for simulating the motions of these tracked vehicles on level ground have been implemented on a digital computer based on the derived system of differential equations. The fourth-order Runge-Kutta and Keun's methods are adopted to numerically integrate these differential equations. The simulation results clearly show that the programs can accurately predict the motion of a tracked vehicle maneuvered on horizontal plane, and closely predict the response of a multi-unit tracked vehicle operated on level ground its command inputs.
Master of Science
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Carlsson, Magnus. "Methods for Early Model Validation : Applied on Simulation Models of Aircraft Vehicle Systems." Licentiate thesis, Linköpings universitet, Maskinkonstruktion, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-91277.

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Simulation  models of physical systems, with or without control software, are widely used in the aeronautic industry in applications ranging from system development to verification and end-user training. With the main drivers of reducing the cost of physical testing and in general enhancing the ability to take early model-based design decisions, there is an ongoing trend of further increasing the portion of modeling and simulation. The work presented in this thesis is focused on development of methodology for model validation, which is a key enabler for successfully reducing the amount of physical testing without compromising safety. Reducing the amount of physical testing is especially interesting in the aeronautic industry, where each physical test commonly represents a significant cost. Besides the cost aspect, it may also be difficult or hazardous to carry out physical testing. Specific to the aeronautic industry are also the relatively long development cycles, implying long periods of uncertainty during product development. In both industry and academia a common viewpoint is that verification, validation, and uncertainty quantification of simulation models are critical activities for a successful deployment of model-based systems engineering. However, quantification of simulation results uncertainty commonly requires a large amount of certain information, and for industrial applications available methods often seem too detailed or tedious to even try. This in total constitutes more than sufficient reason to invest in research on methodology for model validation, with special focus on simplified methods for use in early development phases when system measurement data are scarce. Results from the work include a method supporting early model validation. When sufficient system level measurement data for validation purposes is unavailable, this method provides a means to use knowledge of component level uncertainty for assessment of model top level uncertainty. Also, the common situation of lacking data for characterization of parameter uncertainties is to some degree mitigated. A novel concept has been developed for integrating uncertainty information obtained from component level validation directly into components, enabling assessment of model level uncertainty. In this way, the level of abstraction is raised from uncertainty of component input parameters to uncertainty of component output  characteristics. The method is integrated in a Modelica component library for modeling and simulation of aircraft vehicle systems, and is evaluated in both deterministic and probabilistic frameworks using an industrial application example. Results also include an industrial applicable process for model development, validation, and export, and the concept of virtual testing and virtual certification is discussed.
Simmuleringsmodeller av fysikaliska system, med eller utan reglerande mjukvara, har sedan lång tid tillbaka ett brett användningsområde inom flygindustrin. Tillämpningar finns inom allt från systemutveckling till produktverifiering och träning. Med de huvudsakliga drivkrafterna att reducera mängden fysisk provning samt att öka förutsättningarna till att fatta välgrundade modellbaserade designbeslut pågår en trend att ytterligare öka andelen modellering och simulering. Arbetet som presenteras i denna avhandling är fokuserat på utveckling av metodik för validering av simuleringsmodeller, vilket anses vara ett kritiskt område för att framgångsrikt minska mängden fysisk provning utan att äventyra säkerheten. Utveckling av metoder för att på ett säkert sätt minska mängden fysisk provning är speciellt intressant inom flygindustrin där varje fysiskt prov vanligen utgör en betydande kostnad. Utöver de stora kostnaderna kan det även vara svårt eller riskfyllt att genomföra fysisk provning. Specifikt är även de långa utvecklingscyklerna som innebär att man har långa perioder av osäkerhet under produktutvecklingen. Inom såväl industri som akademi ses verifiering, validering och osäkerhetsanalys av simuleringsmodeller som kritiska aktiviteter för en framgångsrik tillämpning av modellbaserad systemutveckling. Kvantifiering av osäkerheterna i ett simuleringsresultat kräver dock vanligen en betydande mängd säker information, och för industriella tillämpningar framstår tillgängliga metoder ofta som alltför detaljerade eller arbetskrävande. Totalt sett ger detta särskild anledning till forskning inom metodik för modellvalidering, med speciellt fokus på förenklade metoder för användning i tidiga utvecklingsfaser då tillgången på mätdata är knapp. Resultatet från arbetet inkluderar en metod som stöttar tidig modellvalidering. Metoden är avsedd att tillämpas vid brist på mätdata från aktuellt system, och möjliggör utnyttjande av osäkerhetsinformation från komponentnivå för bedömning av osäkerhet på modellnivå. Avsaknad av data för karaktärisering av parameterosäkerheter är även ett vanligt förekommande problem som till viss mån mildras genom användning av metoden. Ett koncept har utvecklats för att integrera osäkerhetsinformation hämtad från komponentvalidering direkt i en modells komponenter, vilket möjliggör en förenklad osäkerhetsanalys på modellnivå. Abstraktionsnivån vid osäkerhetsanalysen höjs på så sätt från parameternivå till komponentnivå. Metoden är implementerad i ett Modelica-baserat komponentbibliotek för modellering och simulering av grundflygplansystem, och har utvärderats i en industriell tillämpning i kombination med både deterministiska och probabilistiska tekniker. Resultatet från arbetet inkluderar även en industriellt tillämplig process för utveckling, validering och export av simuleringsmodeller, och begreppen virtuell provning och virtuell certifiering diskuteras.
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Karanja, Bethuel, and Parsa Broukhiyan. "Commercial Vehicle Air Consumption: Simulation, Validation and Recommendation." Thesis, KTH, Maskinkonstruktion (Inst.), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209657.

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This report details the work done in a master thesis project. The project was conducted at the Brake Performance Department at Scania CV AB. The project involves the development of a numerical model (in Matlab) that calculates and predicts air consumption in a truck under different drive cycles. The report first details tests and experiments done so as to acquire the necessary information for the development of the model. The report then presents the model that was created and delves into tests that were conducted for its validation. A model is created that allows the user to select different component combinations on the trucks along with different loading scenarios and drive cycles. Finally the model is used to evaluate air consumption in trucks during particularly strenuous cycles. The model developed is found to be reliable and accurate to with 7% with regard to amount of air consumed. With its help, several recommendations on how air consumption in commercial vehicles can be improved are made. The best components’ combination is also found and presented.
I denna rapport beskrivs ett examensarbete som genomfördes på bromsavdelningen på Scania CV AB. Projektet innefattar utveckling av en numerisk modell (i Matlab) som beräknar och förutspår luftförbrukningen i en lastbil under olika körcykler. I rapporten beskrivs det tester och experiment som gjordes för att ta fram nödvändiga uppgifter för utvecklingen av modellen. Sedan presenteras modellen som skapades och alla valideringstester som genomfördes. Modellen är gjord så att användaren kan kombinera olika komponentkombinationer för lastbilar med olika lastningskonfigurationer och körcykler. Slutligen används modellen för att utvärdera luftförbrukningen i lastbilar under särskilt ansträngande körcykler. Den utvecklade modellen visade sig vara pålitlig och korrekt med en felmarginal på 7% med avseende på mängden luft som konsumeras. Med dess hjälp kunde flera rekommendationer ges om hur luftförbrukningen i kommersiella fordon kan förbättras. De bästa komponentkombinationerna hittades också och presenteras i denna rapport
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Shakleton, Philip Andrew. "An optimised wheel-rail contact model for vehicle dynamics simulation." Thesis, Manchester Metropolitan University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515184.

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The wheel-rail interface is a complex component of the dynamic railway vehicle-track system. The wheel-rail interface governs the motion of a railway vehicle and is responsible for wheel and track damage such as wear and rolling contact fatigue. Wheelrail contact models are used extensively in railway engineering to calculate contact forces and stresses, in order to evaluate dynamic vehicle behaviour or assess track damage. Due to the complexity of the wheel-rail interaction, and computational limitations, all wheel-rail contact models make simplifying assumptions so that solutions may be obtained in an acceptable time. This thesis presents a survey of current wheel-rail contact models and theories, and associated literature, focussing on the various simplifications made by the different approaches. In order to allow an informative comparison of contact model performance a wheel-rail contact benchmark has been established, detailing carefully defined, challenging contact conditions. Interested parties were invited to submit solutions for the contact benchmark cases, and results from ten contributors were received and compared. From the analysis of current contact models and the contact benchmark results, a new wheel-rail contact model has been developed. The model is based on a novel relationship between the normal contact force and the intersecting volume found from virtually penetrating two, three dimensional contacting bodies. Results from the new contact model, named the 'Rectified Interpenetration method', were compared favourably to the recognised methods of Hertz and Kalker. To aid future validation of wheel-rail contact model and understanding of the wheel. rail interaction, a feasibility study of a new wheel-rail contact measurement technique has been undertaken. The technique is based on an established ultrasound method capable of measuring the normal contact pressure distribution for machined wheel and rail samples in laboratory conditions. The new technique aims to advance the state of the art to allow wheel-rail contact measurements under rolling conditions. The study concluded that there is scope for further development of the technique, and discusses the transitional difficulties in advancing the static method to rolling contacts.
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Gim, Gwanghun. "Vehicle dynamic simulation with a comprehensive model for pneumatic tires." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184478.

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This study presents an analytical approach for the mechanics of the pneumatic tires and the vehicle dynamic simulation. Most of tire dynamic parameters in this study are derived by using the tire geometry rather than experimental data. For the tire dynamic properties, explicit formulations are derived analytically as functions of slip ratio, slip angle, camber angle, and other tire dynamic parameters. These formulations can be efficiently used for the general vehicle simulations of braking/traction and steering maneuvers with a varying camber angle at irregular terrains. For on-highway vehicle simulations, a conceptual sports car is modeled as a twenty-six degrees of freedom multi-body system, while the military 1/4 ton truck M151-A2 is modeled as a fourteen degrees of freedom multi-body system for off-highway vehicle simulations. To study vehicle ride comfort, stability, and maneuverability, numerous vehicle simulations are performed using the comprehensive tire model, steering, braking, traction, nonlinear suspension, and realistic irregular terrains. For these simulations, a general-purpose multi-body dynamic analysis code (named MBOSS) has been developed.
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Chen, Jen-Ming 1960. "Developing and validating a simulation model for emergency vehicle locations." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276894.

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This thesis deals with the problem of locating emergency ambulances in an urban area. We developed a simulation model to analyze possible improvements in ambulance service. A new point-to-point travel time model is introduced in our simulation. Validating the model proved to be a difficult task and is discussed in detail. Our model has been applied to the Tucson Emergency Medical Service system.
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Zheng, Pengjun. "A microscopic simulation model of merging operation at motorway on ramps." Thesis, University of Southampton, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289589.

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Lee, SeeWoo. "Development of new dynamic tire model for improved vehicle dynamics simulation." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1334584006.

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Books on the topic "Simulation vehicle model"

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Cersovsky, Donald D. Mathematical model and analysis of the Tactical Unmanned Ground Vehicle (TUGV) using computer simulation. Monterey, Calif: Naval Postgraduate School, 1993.

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Tsukamoto, Shigeki. On the simulation test for the relative motion of separated sub-boosters on M-3SII with nearly half a model vehicle ST-735 and their motion analyses using inertial sensors output. Tokyo: Institute of Space and Astronautical Science, 1989.

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Motor vehicle dynamics: Modeling and simulation. Singapore: World Scientific, 1997.

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Chuvikov, Dmitriy. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence. 2nd ed. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1220729.

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The purpose of the monograph is to create a methodology, combined expert and simulation models, as well as algorithms and software-modeling tools for reconstruction and examination of accident events for automating decision-making by an expert center employee. The methodology of combining and algorithms of joint work of an expert system based on logical artificial intelligence (mivar approach) and a simulation system for solving problems of reconstruction and examination of road accidents are developed; model reconstruction and examination of the accident in the formalism of the knowledge base bipartite oriented mivar nets, including analysis formulas braking qualities of the vehicle, determining the speed of a car's performance in terms of specific DTS, the formula for calculating different occasions: - slip car when braking, driving on curved sections of the road, hitting a car on the pedestrian in uniform motion and unlimited visibility; a method of generation of interfaces for designer expert systems based on the concept of mivar approach; special software in the form of expert systems "Analysis of road accident" in order to reduce the complexity of the process of calculating the disputed accidents, errors in the calculation and improve the accuracy and objectivity of the results obtained and the speed and quality of the calculations. It can be useful to specialists of expert institutions, insurance companies, educational institutions in the field of expertise, as well as unmanned vehicles in terms of objective analysis and examination of road accidents.
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Modeling and simulation of aerospace vehicle dynamics. Reston, VA: American Institute of Aeronautics and Astronautics, 2000.

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Modeling and simulation of aerospace vehicle dynamics. Reston, Virginia: American Institute of Aeronautics and Astronautics, Inc., 2014.

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Olstam, Johan Janson. A model for simulation and generation of surrounding vehicles in driving simulators. Linko ping: Linko pings universitet, 2005.

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Jalinier, Christian. Energy consumption of heavy road vehicles: Dynamic verifiable interactive transportation model. Pointe Claire, Que: FERIC, 1992.

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Chaturvedi, Alok R. A model for simulating AGV congestion in an FMS. West Lafayette, Ind: Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1990.

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Porter, Christopher, David Kall, Daniel Beagan, Richard Margiotta, John Koupal, Scott Fincher, and Alan Stanard. Input Guidelines for Motor Vehicle Emissions Simulator Model, Volume 3: Final Report. Washington, D.C.: Transportation Research Board, 2015. http://dx.doi.org/10.17226/22212.

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Book chapters on the topic "Simulation vehicle model"

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Adamski, Dirk. "The Vehicle Model as a Controlled System." In Simulation in Chassis Technology, 277–83. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30678-6_17.

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Marchionni, Giovanna, Marco Ponti, and Luca Studer. "System Sizing Model—Simulation Model of the Service." In Electric Vehicle Sharing Services for Smarter Cities, 265–75. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61964-4_16.

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Laux, Steve, Sven Freitag, and Frank Geschner. "RPCsim: Model-Based Analysis Within the Calibration-Process." In Simulation and Testing for Vehicle Technology, 21–32. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32345-9_3.

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Wilmes, Benjamin. "TASMO: Automated Test Data Generation for Simulink Model Coverage." In Simulation and Testing for Vehicle Technology, 123–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32345-9_10.

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Bilz, Sebastian, Matthias Rothschuh, Katharina Schütte, and Ralf Wascheck. "Model-Based Efficiency Improvement of Automotive Fuel Cell Systems." In Simulation and Testing for Vehicle Technology, 175–93. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32345-9_14.

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Xie, Yijiang. "Optimal Steady-State Base-Calibration of Model Based ECU-Functions." In Simulation and Testing for Vehicle Technology, 245–65. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32345-9_18.

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Eicke, Simon, Steffen Zemke, Ahmed Trabelsi, Matthias Dagen, and Tobias Ortmaier. "Model-Based Control Design for Comfort Enhancement During Drive Off Maneuvers." In Simulation and Testing for Vehicle Technology, 217–31. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32345-9_16.

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Palmieri, Giovanni, Osvaldo Barbarisi, Stefano Scala, and Luigi Glielmo. "An Integrated LTV-MPC Lateral Vehicle Dynamics Control: Simulation Results." In Automotive Model Predictive Control, 231–55. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-071-7_15.

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Keuth, Nikolaus, Guillaume Broustail, Kieran Mcaleer, Marijn Hollander, and Stefan Scheidel. "Successful Integration of a Model Based Calibration Methodology for Non-standard Corrections and Protection Functions." In Simulation and Testing for Vehicle Technology, 233–44. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32345-9_17.

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Mirfendreski, Aras, Andreas Schmid, Michael Grill, and Michael Bargende. "Finding Coupling Strategies of a Real-Time Capable Fourier-Transformation-Based Engine Model on a HIL-Simulator." In Simulation and Testing for Vehicle Technology, 43–65. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32345-9_5.

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Conference papers on the topic "Simulation vehicle model"

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Benito, Joel, Connor Noyes, and Justin Keenan. "Mars Ascent Vehicle Model Simulation." In AIAA/AAS Astrodynamics Specialist Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-5440.

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Mizzi, J. P. "Car Crash Test Simulation Model." In International Conference On Vehicle Structural Mechanics & Cae. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1992. http://dx.doi.org/10.4271/921077.

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Sandu, Corina, and Jeffrey S. Freeman. "Three-Dimensional Multibody Tracked Vehicle Modeling and Simulation." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/vib-48359.

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Off-road vehicles have broad areas of application (in agriculture, in the construction industry, in the transport industry, in the military, in the U.S. space programs, in the oil and gas industry). A large segment of the off-road vehicles is made up by the tracked vehicles. The purpose of this study is to develop and implement an independent vehicle model. The vehicle model is general, in the sense that it is not restricted to a specific vehicle; it can model vehicles with varying numbers of road wheels, or different suspension characteristics It can be used, together with a track model, to analyze several types of tracked vehicles. A recursive dynamics formulation approach is used to model the vehicle. All the computations are performed in relative coordinates. The kinematic formulation of the model is presented, as well as the dynamic analysis, including the external and the internal applied forces. Dynamic settling simulations of the vehicle model on several types of soil are presented. The vehicle model presented in this study serves as a support, to help testing and comparing different track models and track-terrain interaction formulations.
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Bezdek, William, and Elizabeth Reidelberger. "Vehicle interactive digital pilot model using J-MASS." In Flight Simulation Technologies Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-3494.

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Vick, Tyler, Jonathan Muse, and Michael Bolender. "A Hypersonic Vehicle Model Generator for MASIV." In AIAA Modeling and Simulation Technologies Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-4563.

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Przybylski, Michal. "Mathematical Model Of Biomimetic Underwater Vehicle." In 33rd International ECMS Conference on Modelling and Simulation. ECMS, 2019. http://dx.doi.org/10.7148/2019-0343.

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"Bond Graph Model of a Pivoting Axle Concept Vehicle." In 2019 Spring Simulation Conference. Society for Modeling and Simulation International (SCS), 2019. http://dx.doi.org/10.22360/springsim.2019.anss.008.

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Lu, Zhengyu, Andrzej G. Nalecz, and Kenneth L. d'Entremont. "Development of Vehicle-Terrain Impact Model for Vehicle Dynamics Simulation." In International Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1993. http://dx.doi.org/10.4271/930833.

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Brar, Bavneet S., and Ravi Tangirala. "Re-Examination of NHTSA’s Research Moving Deformable Barrier Front Oblique Impacts With Vehicle to Vehicle Crashes Using FE Models." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65198.

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The objective of this study is to investigate how the target vehicle’s structural response to NHTSA’s Research Moving Deformable Barrier (RMDB), during oblique impact conditions, compares with actual vehicle to vehicle impacts. It tabulates vehicle kinematics, deformation mode and structural intrusions for both the simulated field accident situations, with a SUV and a small car bullet vehicles, onto a small car target vehicle. These parameters are then compared with those resulting from the RMDB impact simulations. The differences are highlighted and quantified. The effects of the bullet vehicles variation in impact speed were also investigated. The paper details sensitivity of the RMDB’s Principle Direction of Force by varying the impact overlap percentage. Lastly, further modifications to the RMDB have been suggested to improve its vehicle to vehicle relevance. The FE models used in this research were a full vehicle, restraints and occupant integrated small car model along with a midsized SUV simulation model.
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Chan, Brendan J., and Corina Sandu. "Development of a Multibody Dynamics Ford Expedition Model for Vehicle Dynamics Analysis." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49377.

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In the area of automotive engineering, testing of actual vehicles in various operating conditions during transient maneuvers is a costly and time-consuming stage of any vehicle design. However, the use of virtual proving grounds for simulation of full vehicles helps to alleviate the high cost physically testing a vehicle before mass production. This paper presents a study where a multibody dynamics model of a 2003 Ford Expedition is created for the purpose of evaluating performance and behavior in vehicle dynamics simulations. By using a dynamic model, rollover analysis and yaw stability can be analyzed. In addition to that, the vehicle model can also be used to integrate different controllers for different subsystems of the vehicle such as steering, brakes, and power-train. Preliminary simulation results are presented for proof of concept of the model.
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Reports on the topic "Simulation vehicle model"

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Nishimura, Masatsugu, Yoshitaka Tezuka, Enrico Picotti, Mattia Bruschetta, Francesco Ambrogi, and Toru Yoshii. Study of Rider Model for Motorcycle Racing Simulation. SAE International, January 2020. http://dx.doi.org/10.4271/2019-32-0572.

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Various rider models have been proposed that provide control inputs for the simulation of motorcycle dynamics. However, those models are mostly used to simulate production motorcycles, so they assume that all motions are in the linear region such as those in a constant radius turn. As such, their performance is insufficient for simulating racing motorcycles that experience quick acceleration and braking. Therefore, this study proposes a new rider model for racing simulation that incorporates Nonlinear Model Predictive Control. In developing this model, it was built on the premise that it can cope with running conditions that lose contact with the front wheels or rear wheels so-called "endo" and "wheelie", which often occur during running with large acceleration or deceleration assuming a race. For the control inputs to the vehicle, we incorporated the lateral shift of the rider's center of gravity in addition to the normally used inputs such as the steering angle, throttle position, and braking force. We compared the performance of the new model with that of the conventional model under constant radius cornering and straight braking, as well as complex braking and acceleration in a single (hairpin) corner that represented a racing run. The results showed that the new rider model outperformed the conventional model, especially in the wider range of running speed usable for a simulation. In addition, we compared the simulation results for complex braking and acceleration in a single hairpin corner produced by the new model with data from an actual race and verified that the new model was able to accurately simulate the run of actual MotoGP riders.
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Selvaraju, Ragul, SHABARIRAJ SIDDESWARAN, and Hariharan Sankarasubramanian. The Validation of Auto Rickshaw Model for Frontal Crash Studies Using Video Capture Data. SAE International, September 2020. http://dx.doi.org/10.4271/2020-28-0490.

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Despite being Auto rickshaws are the most important public transportation around Asian countries and especially in India, the safety standards and regulations have not been established as much as for the car segment. The Crash simulations have evolved to analyze the vehicle crashworthiness since crash experimentations are costly. The work intends to provide the validation for an Auto rickshaw model by comparing frontal crash simulation with a random head-on crash video. MATLAB video processing tool has been used to process the crash video, and the impact velocity of the frontal crash is obtained. The vehicle modelled in CATIA is imported in the LS-DYNA software simulation environment to perform frontal crash simulation at the captured speed. The simulation is compared with the crash video at 5, 25, and 40 milliseconds respectively. The comparison shows that the crash pattern of simulation and real crash video are similar in detail. Thus the modelled Auto-rickshaw can be used in the future to validate the real-time crash for providing the scope of improvement in Three-wheeler safety.
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Selvaraju, Ragul, SHABARIRAJ SIDDESWARAN, and Hariharan Sankarasubramanian. The Validation of Auto Rickshaw Model for Frontal Crash Studies Using Video Capture Data. SAE International, September 2020. http://dx.doi.org/10.4271/2020-28-0490.

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Despite being Auto rickshaws are the most important public transportation around Asian countries and especially in India, the safety standards and regulations have not been established as much as for the car segment. The Crash simulations have evolved to analyze the vehicle crashworthiness since crash experimentations are costly. The work intends to provide the validation for an Auto rickshaw model by comparing frontal crash simulation with a random head-on crash video. MATLAB video processing tool has been used to process the crash video, and the impact velocity of the frontal crash is obtained. The vehicle modelled in CATIA is imported in the LS-DYNA software simulation environment to perform frontal crash simulation at the captured speed. The simulation is compared with the crash video at 5, 25, and 40 milliseconds respectively. The comparison shows that the crash pattern of simulation and real crash video are similar in detail. Thus the modelled Auto-rickshaw can be used in the future to validate the real-time crash for providing the scope of improvement in Three-wheeler safety.
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Rieger, P., J. Girstmair, St Schmidt, R. Almbauer, and R. Kirchberger. Development of a Thermal Model within a Complete Vehicle Simulation for Motorcycles and Powersport Applications. Warrendale, PA: SAE International, October 2013. http://dx.doi.org/10.4271/2013-32-9127.

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Martindale, Michael. A Discrete-Event Simulation Model for Evaluating Air Force Reusable Military Launch Vehicle Post-Landing Operations. Fort Belvoir, VA: Defense Technical Information Center, June 2006. http://dx.doi.org/10.21236/ada457121.

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Li, Yan, Yuhao Luo, and Xin Lu. PHEV Energy Management Optimization Based on Multi-Island Genetic Algorithm. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0739.

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The plug-in hybrid electric vehicle (PHEV) gradually moves into the mainstream market with its excellent power and energy consumption control, and has become the research target of many researchers. The energy management strategy of plug-in hybrid vehicles is more complicated than conventional gasoline vehicles. Therefore, there are still many problems to be solved in terms of power source distribution and energy saving and emission reduction. This research proposes a new solution and realizes it through simulation optimization, which improves the energy consumption and emission problems of PHEV to a certain extent. First, on the basis that MATLAB software has completed the modeling of the key components of the vehicle, the fuzzy controller of the vehicle is established considering the principle of the joint control of the engine and the electric motor. Afterwards, based on the Isight and ADVISOR co-simulation platform, with the goal of ensuring certain dynamic performance and optimal fuel economy of the vehicle, the multi-island genetic algorithm is used to optimize the parameters of the membership function of the fuzzy control strategy to overcome it to a certain extent. The disadvantages of selecting parameters based on experience are compensated for, and the efficiency and feasibility of fuzzy control are improved. Finally, the PHEV vehicle model simulation comparison was carried out under the UDDS working condition through ADVISOR software. The optimization results show that while ensuring the required power performance, the vehicle fuzzy controller after parameter optimization using the multi-island genetic algorithm is more efficient, which can significantly reduce vehicle fuel consumption and improve exhaust emissions.
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Arhin, Stephen, Babin Manandhar, Kevin Obike, and Melissa Anderson. Impact of Dedicated Bus Lanes on Intersection Operations and Travel Time Model Development. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.2040.

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Over the years, public transit agencies have been trying to improve their operations by continuously evaluating best practices to better serve patrons. Washington Metropolitan Area Transit Authority (WMATA) oversees the transit bus operations in the Washington Metropolitan Area (District of Columbia, some parts of Maryland and Virginia). One practice attempted by WMATA to improve bus travel time and transit reliability has been the implementation of designated bus lanes (DBLs). The District Department of Transportation (DDOT) implemented a bus priority program on selected corridors in the District of Columbia leading to the installation of red-painted DBLs on corridors of H Street, NW, and I Street, NW. This study evaluates the impacts on the performance of transit buses along with the general traffic performance at intersections on corridors with DBLs installed in Washington, DC by using a “before” and “after” approach. The team utilized non-intrusive video data to perform vehicular turning movement counts to assess the traffic flow and delays (measures of effectiveness) with a traffic simulation software. Furthermore, the team analyzed the Automatic Vehicle Locator (AVL) data provided by WMATA for buses operating on the study segments to evaluate bus travel time. The statistical analysis showed that the vehicles traveling on H Street and I Street (NW) experienced significantly lower delays during both AM (7:00–9:30 AM) and PM (4:00–6:30 PM) peak hours after the installation of bus lanes. The approximation error metrics (normalized squared errors) for the testing dataset was 0.97, indicating that the model was predicting bus travel times based on unknown data with great accuracy. WMATA can apply this research to other segments with busy bus schedules and multiple routes to evaluate the need for DBLs. Neural network models can also be used to approximate bus travel times on segments by simulating scenarios with DBLs to obtain accurate bus travel times. Such implementation could not only improve WMATA’s bus service and reliability but also alleviate general traffic delays.
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Konstantinou, Theodora, Donghui Chen, Konstantinos Flaris, Kyubyung Kang, Dan Daehyun Koo, Jonathon Sinton, Konstantina Gkritza, and Samuel Labi. A Strategic Assessment of Needs and Opportunities for the Wider Adoption of Electric Vehicles in Indiana. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317376.

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The primary objective of this study was to assess the challenges and opportunities associated with the provision of appropriate infrastructure to support electric vehicle (EV) operations and electrification across Indiana. A secondary objective of this study was to develop a strategic plan for INDOT that outlines new business opportunities for developing EV charging stations. To achieve these objectives, the project team assessed current and emerging trends in EV operations, particularly EV charging infrastructure and EV demand forecasting. They also examined opportunities for the strategic deployment of EV charging stations by identifying EV infrastructure deficit areas; investigated the impact of EV adoption on highway revenue and the feasibility of new revenue structures; and evaluated strategic partnerships and business models. The agent-based simulation model developed for future long distance EV trip scenarios enables INDOT to identify EV energy deficient areas for current and future energy charging demand scenarios, and it can support Indiana’s strategic plans for EV charging infrastructure development. The results of the revenue impact analysis can inform INDOT’s revenue model. The estimations of the recovery EV fee, the VMT fee, and pay-as-you-charge fee that break-even the fuel tax revenue loss can be used by INDOT in pilot programs to capture users’ perspectives and estimate appropriate fee rates and structures. The insights obtained from the stakeholder interviews can be used to enhance preparedness for increasing EV adoption rates across vehicle classes and to strengthen the engagement of different entities in the provision of charging infrastructure.
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Allen, Luke, Joon Lim, Robert Haehnel, and Ian Detwiller. Rotor blade design framework for airfoil shape optimization with performance considerations. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41037.

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A framework for optimizing rotor blade airfoil shape is presented. The framework uses two digital workflows created within the Galaxy Simulation Builder (GSB) software package. The first is a workflow enabling the automated creation of a surrogate model for predicting airfoil performance coefficients. An accurate surrogate model for the rapid generation of airfoil coefficient tables has been developed using linear interpolation techniques that is based on C81Gen and ARC2D CFD codes. The second workflow defines the rotor blade optimization problem using GSB and the Dakota numerical optimization library. The presented example uses a quasi-Newton optimization algorithm to optimize the tip region of the UH-60A main rotor blade with respect to vehicle performance. This is accomplished by morphing the blade tip airfoil shape for optimum power, subject to a constraint on the maximum pitch link load.
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Corcoran, Patrick E. Gunner Tracking Models for the BFVS-A3 Combat Vehicle Engineering Simulation. Fort Belvoir, VA: Defense Technical Information Center, November 2001. http://dx.doi.org/10.21236/ada396834.

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