Inhalt

[ 926LOMAITSU20 ] IK Intelligent Transportation Systems

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Business Informatics Cristina Olaverri Monreal 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Business Informatics 2020W
Objectives 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)
Subject 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
Criteria for evaluation Presentations, assignments completion, exam
Methods Presentation, homework exercises, discussion, exam
Language English
Study material 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

Changing subject? No
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority