Creating a global consciousness throught the driver model of curriculum development

The purpose of this study was to investigate the effect a human link through the One World Youth Project has on a global education program, if a human connection through the program enhances a student's ability to develop a critical consciousness of global issues, and the etTectiveness of thc constructivist-based Driver Model of Curriculum Development, which served as the curriculum model in this study. An action based research cycle was chosen as this study's research methodology and incorporated 5 qualitative data collection instruments: a) interviews and questionnaires, b) artifacts, c) teacher journal, d) critical friend's observation forms, and e) my critical friend's postobservation interviews. The data were conected from 4 student participants and my critical friend during all stages of the action research cycle. The results of this study provide educators with data on the impact of human connections in a global education program, the effects these connections have on students, and the effectiveness of the Driver Model of Curriculum Development. This study also provides practical activities and strategies that could be used by educators to develop their own global education programs. The United Nations drafted the Millennium Development Goals in an effort to improve the lives of billions of people across the globe. The eight goals were developed with the support of all member nations since all human beings are global citizens who have a responsibility to make the world a better place. Students need to develop a critical consciousness of global issues so that they can work with others to eliminate them. Students who are taught to restate the opinions of others win not be prepared to inherit a world full of challenges that will require new innovative ideas to foster positive change.

Linear chaos for the Quick-Thinking-Driver model.

In recent years, the topic of car-following has experimented an increased importance in traffic engineering and safety research. This has become a very interesting topic because of the development of driverless cars (Google driverless cars, http://en.wikipedia.org/wiki/Google_driverless_car). Driving models which describe the interaction between adjacent vehicles in the same lane have a big interest in simulation modeling, such as the Quick-Thinking-Driver model. A non-linear version of it can be given using the logistic map, and then chaos appears. We show that an infinite-dimensional version of the linear model presents a chaotic behaviour using the same approach as for studying chaos of death models of cell growth.

XML-tekniikoihin perustuva ajurimalli LabView-pohjaiseen testausympäristöön

XML-muotoista tiedonesitystapaa hyödynnetään yhä enemmän esitettäessä rakenteellista tietoa. Tarkoituksena on antaa yleishyödyllinen ja uudelleenkäytettävä tapa jakaa yleistä tietoa erilaisten rajapintojen yli. XML-tekniikoita käytetään myös korjaamaan aiemmin tehdyissä sovellutuksissa esiintyneitä puutteita ja parantamaan niiden toimintaa. Tässä diplomityössä esitellään Telestelle LabView-pohjaiseen testaussovellusympäristöön suunniteltava ajuriuudistus. Työssä paranneltiin aiempaa ajurimallia soveltamalla siihen XML-tekniikoita hyödyntäviä toimintoja. Tarkoituksena oli vähentää testaussovelluskehityksessä vaadittavaa ohjelmointityötä korvaamalla sovelluksiin kovakoodatut ominaisuudet XML-pohjaisilla konfiguraatiotiedostoilla. Järjestelmän pohjana on yleiskäyttöinen ajuri, joka käyttää Telesten omaa EMS-protokollaa kommunikoinnissaan testattavien tuotteiden kanssa. Ajurimalli käyttää XML-pohjaisia konfiguraatiotiedostoja määrittelemään testattavien tuotteiden ominaisuuksia. XML-skeematiedostoilla esitetään ajurin käyttämän kommunikaatioprotokollan viestityypit ja niiden rakenteet. Työn tuloksena onnistuttiin luomaan uudenlainen XML-tekniikoita hyödyntävä ajurimalli. Yhteen yhteiseen ajuriin perustuva malli yhdenmukaistaa testaussovelluksien toteuttamista ja vähentää tarvittavaa ohjelmointityötä. Ajurin käyttöä helpotettiin toteuttamalla testaussovelluksien kehitysympäristöön erityinen editori, jolla voidaan helposti luoda ajuria käyttäviä toimintoja.

A Filter for Visual Tracking Based on a Stochastic Model for Driver Behaviour

A driver controls a car by turning the steering wheel or by pressing on the accelerator or the brake. These actions are modelled by Gaussian processes, leading to a stochastic model for the motion of the car. The stochastic model is the basis of a new filter for tracking and predicting the motion of the car, using measurements obtained by fitting a rigid 3D model to a monocular sequence of video images. Experiments show that the filter easily outperforms traditional filters.

A review of the driver-vehicle effectiveness (DRIVEM) model. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Driver-vehicle effectiveness model. Volume II: appendices. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Analytical modeling of driver response in crash avoidance maneuvering. Volume II: an interactive tire model for driver/vehicle simulation. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Analytical modeling of driver response in crash avoidance maneuvering. Volume III: a trim model and computer program for determining ground vehicle steady state operating conditions and quasilinear stability coefficients. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Driver-vehicle effectiveness model. Volume I: final report.

National Highway Traffic Safety Administration, Washington, D.C.

Operator and organizational maintenance manual : hammer, pile driver, self-powered, diesel (Koehring model DA35), FSN 3895-443-4696.

"January 1970."

Operator's manual : grinding kit, valve seat, electric, 35 degree angle, concentric drive, driver, AC/DC, 115-volt, 7,500 RPM rated no load speed (Albertson and Company model 1712-M) (4910-060-9983).

"June 1965."

Organizational, direct support, and general support maintenance repair parts and special tools list : hammer, pile-driver, self-powered; diesel engine driven, w/fuel oil tank and lubricating oil tank, NSN 3895-00-854-4150, link-belt speeder model 440.

"This publication supersedes TM 5-3895-333-25P dated 18 February 1969 and all changes"--P. i.

Infomobility for “Car-Driver” Systems: Reference Model and Case Study

Part 21: Mobility and Logistics

Model-Based validation of Driver Drowsiness Detection System for ADAS

The work described in this Master’s Degree thesis was born after the collaboration with the company Maserati S.p.a, an Italian luxury car maker with its headquarters located in Modena, in the heart of the Italian Motor Valley, where I worked as a stagiaire in the Virtual Engineering team between September 2021 and February 2022. This work proposes the validation using real-world ECUs of a Driver Drowsiness Detection (DDD) system prototype based on different detection methods with the goal to overcome input signal losses and system failures. Detection methods of different categories have been chosen from literature and merged with the goal of utilizing the benefits of each of them, overcoming their limitations and limiting as much as possible their degree of intrusiveness to prevent any kind of driving distraction: an image processing-based technique for human physical signals detection as well as methods based on driver-vehicle interaction are used. A Driver-In-the-Loop simulator is used to gather real data on which a Machine Learning-based algorithm will be trained and validated. These data come from the tests that the company conducts in its daily activities so confidential information about the simulator and the drivers will be omitted. Although the impact of the proposed system is not remarkable and there is still work to do in all its elements, the results indicate the main advantages of the system in terms of robustness against subsystem failures and signal losses.

An agent-based approach to modelling driver route choice behaviour under the influence of real-time information

This paper presents an agent-based approach to modelling individual driver behaviour under the influence of real-time traffic information. The driver behaviour models developed in this study are based on a behavioural survey of drivers which was conducted on a congested commuting corridor in Brisbane, Australia. Commuters' responses to travel information were analysed and a number of discrete choice models were developed to determine the factors influencing drivers' behaviour and their propensity to change route and adjust travel patterns. Based on the results obtained from the behavioural survey, the agent behaviour parameters which define driver characteristics, knowledge and preferences were identified and their values determined. A case study implementing a simple agent-based route choice decision model within a microscopic traffic simulation tool is also presented. Driver-vehicle units (DVUs) were modelled as autonomous software components that can each be assigned a set of goals to achieve and a database of knowledge comprising certain beliefs, intentions and preferences concerning the driving task. Each DVU provided route choice decision-making capabilities, based on perception of its environment, that were similar to the described intentions of the driver it represented. The case study clearly demonstrated the feasibility of the approach and the potential to develop more complex driver behavioural dynamics based on the belief-desire-intention agent architecture. (C) 2002 Elsevier Science Ltd. All rights reserved.