Inhalt

[ 926LOMAITSU20 ] IK Intelligent Transportation Systems

Versionsauswahl
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
3 ECTS M1 - Master 1. Jahr Wirtschaftsinformatik Cristina Olaverri Monreal 2 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Masterstudium Wirtschaftsinformatik 2020W
Ziele After passing this course successfully, students will be able to:

  • Understand the application, function and use of technical equipment and Technologies for sensing, detecting, positioning, communication and data collection;
  • Understand the role of ITS for improving the Transportation systems;
  • Understand and assess the different modes of transportation including intermodal Solutions
  • Take into account human behaviour and the way it influences the effect of ITS (HMI, traffic psychology, user needs, behavioural response to ITS)
Lehrinhalte The performance of Transport systems is of crucial importance for individual mobility, and for the economic growth of all nations. A better transport Management through different technologies and mobility concepts can be achieved for a better utilization of resources. This intensive course describes electronic technologies and data collection methods to make a better use of the civil infrastructure and making transportation systems safe, efficient reliable and environmentally friendly. It also covers human behaviour and the way it influences the effect of ITS
Beurteilungskriterien Presentations, assignments completion, exam
Lehrmethoden Presentation, homework exercises, discussion, exam
Abhaltungssprache Englisch
Literatur Telecommunications and the City: Electronic Spaces, Urban Places By Steve Graham, Simon Marvin

Intelligent Transportation Systems Report for Mobile by Dr John Walker

D3.5b – Standardisation Handbook” (Evensen & Schmitting, 2014).

Intelligent Transport Systems: Neural Agent (Neugent) Models of Driver Behaviour

Further literature will be announced

Lehrinhalte wechselnd? Nein
Präsenzlehrveranstaltung
Teilungsziffer 40
Zuteilungsverfahren Zuteilung nach Vorrangzahl