Inhalt

[ 926LOMAITSU20 ] IK Intelligent Transportation Systems

Versionsauswahl
(*) Unfortunately this information is not available in english.
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 2025W
Learning Outcomes
Competences
(*)Students are familiar with the basics of the application, function and use of technical equipment and technologies for ITS. They are able to understand and assess the different modes of transportation and how human behaviour influences ITS.
Skills Knowledge
Students are able to: LO2: Understand the role of information technology, sensors, and communication systems in traffic applications. LO3: Analyze mobility issues and propose solutions from technical, social, and behavioral perspectives. LO4: Apply ITS technologies to improve urban mobility, safety, and sustainability.

LO1: Sensors and communication systems in traffic applications, environmental and social impacts of intelligent transportation systems.
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