Academic literature on the topic 'Model řidiče'

SHRNUTI Tlumiče jsou zakladni časti zavěšeni vozidel. Zavěšeni kola zajišťuje spravne chovani vozidla a pohodli řidiče. Pro optimalni využiti adheze při pohonu i brzděni je nutne, aby sily mezi pneumatikou a vozovkou byly pokud možno ustalene. Žadne z kol by nemělo ztratit kontakt s vozovkou. Pohodli znamena, že vibrace od profilu vozovky se budou jen minimalně přenašet do kabiny na cestujici. Při navrhu noveho vozidla, je velke usili věnovano spravnemu naladěni podvozku - volbě vhodnych parametrů tuhosti a tlumeni. Članek představuje některe vysledky z experimentalnich zkoušek provaděnych na třech tlumičich od vyrobce Magneti -Marelli, ktere jsou v současne době ve vyrobnim programu. Experimenty byly provaděny při nahodnem buzeni. V zavislosti na charakteristikach, ktere zobrazuji sily v zavislosti na kinematickych veličinach (posun, rychlost, zrychleni) byl pomoci metody “black box” vyvinut matematicky model odezvy tlumiče. Vliv tlumiče na vlastnosti vozidla jsou analyzovany pomoci sledovani odezvy vozidla na polyharmonicke buzeni.

This diploma thesis deals with the creation of a computation driver model. In the first part, there is an overview on driver models for longitudinal and lateral control. Next, driving maneuvres that could be selected for testing of driver model are described. In the practical part, there is created a computational driver model, whose task is to follow required path. The resulting model is tested on three driving maneuvers - steady turning, moose test and slalom. Finally, this model is tested on the passage of a real track. For all these tracks, a comparison is made and the success of the model is evaluated.

This thesis is focused on the question whether implementing of a malus policy into a bonus-malus system encourages drivers to be more responsible on the road. The drivers should be motivated to change their behaviour be aimed at decrease of reported insurance events because this system increases their premium whenever they are in an accident. To answer the given problem I used regression analysis with a random effects model and I analysed the drivers registered at insurance company Allianz in years 2000 - 2005. The result of this analysis shows that there was no change in the behaviour since the malus policy was introduced. The examined impact has been detected in case which was interacting with a different variable. The malus policy had the impact on a reduction of accidents in regions below 10 000 inhabitants. This thesis is also focused on the influence of driver characteristic and technical properties of his vehicle on reported insurance events. Tested variables are sex of the drivers, region of driver's residence, age and engine capacity. All explanatory variables have effect on the reported insurance events.

This paper deals with simulation models of the human operator controlling lateral position of simulated vehicle. I am comparing parameters and quality of the McRuer human driver model and the PID controller. Simulated system is single-track vehicle model. Simulated driver is tasked to pass a Moose test with this vehicle model. I am using the simulated annealing method to find optimal parameters of the driver model and then I visualize realized test in 2D and 3D visualization. In the end of this paper I compare simulations of the driver models and assess achieved results.

Overtaking maneuver is very complex event influenced by many parameters. The most important parameters are vehicle performance, longitudinal slope, the speed at the beginning of the maneuver, the reaction time of the driver. Overtaking distance at CSN 73 6101 is determined on the basis of a simplified physical model. It considers constant speed of vehicles (overtaking and overtaken) and it does not consider a longitudinal gradient of road. This calculation is used for several decades and it is required to verify this procedure. That was the purpose of this work. Detailed physical model was performed for several types of passenger vehicles, performance curves and gear changes were included too. Distances between vehicles at the beginning and in the end of the maneuver were chosen with regard to reaction times of drivers. Distances were compared with conclusions of observation studies. Input values of some parameters were determined by own measurement and compared with data reported in the literature. The analysis was performed using the video camera positioned at the front and rear of the vehicle. For selected vehicle were conducted simulations testing the influence of particular parameters. The parameters with the biggest influence were longitudal slope of the road and rolling friction. To achieve results useful for a possible regulations update for the design of roads another simulation models for 43 variants of passenger cars with different engines and transmissions were done. The vehicles were divided into categories based on engine capacity and engine power (up to 1400 ccm, over 1400 ccm; 66 kW to over 66 kW). Results were compiled in tabular form that could be used to discuss modifications to CSN 73 6101 Design of roads.

Main aim of our thesis is fatigue and stress detection from biological signals of a driver. Introduction contains information on published methods of detection and thoroughly informs readers about theoretical background necessary for our thesis. In the practical application we have firstly worked with a database of measured rides and subsequently chose their most relevant sections. Extraction and selection of features followed afterward. Five different classification models for tiredness and stress detection were used in the thesis and prediction was based on actual data. Lastly, the final section compares the best model of our thesis with the already published results.

The doctoral thesis is thematically focused to human operator systems significantly contributing to this system reliability and safety. The theoretical part of the thesis is concerned with human activities and communications in MMS system, valuation and estimation of human reliability probability in MSS. The important part of the thesis is also a description of human operator neuromuscular system as an executive powerful system on MMS system regulating activities and the summary of human driver models in compensative lateral car control. The practical part of the doctoral thesis is based on analyses created by experimental data of drives. Experimental drives were done on drivers set following different backgrounds and different sleep deprivation at whole day. All experimental data was realized from the cooperation and following the agreement of Faculty of Transportation Science research centre on Prague ČVUT. Another part of thesis includes driver simulation model proposals with nonlinear components for lateral car control. Simulation model drives are compared with real drives or drivers on drive-simulator and there are monitored identical and different dynamic movement characteristics. The main target of doctoral thesis is to detect and obtain significant dynamical drive experience characteristics based on experimental data analyses. As well to found drive characters variability owing to driver’s fatigue and determinated evaluated characteristics changes. Acquired results of thesis should help in assistant systems that in cooperation with other components alert to micro-sleep and run off drive possibility.