Objectives and competences
To know all kind of intelligent transportation services including traveler information systems.
To understand the physical and technological background of traffic detectors, sensors and other ITS equipment.
Content (Syllabus outline)
. ITS – architectures, approaches, standards.
Transportation telematics technologies for detection, classification (AVC), identification (AVI), location (AVL), navigation, electronic ticketing (ETS), e_payment, environmental monitoring and controlling.
State of the art review of enabling technologies:
Inductive loop detectors, piezoelectric sensors, magnetic sensors, weight in motion (WIM), video image processor, microwave radar, IR sensors, acoustic sensors, GPS/GSM tracing and navigation etc.
Review of integrated systems - case studies: traveler information systems, route & parking guiding systems, ETC, »city toll«, »ticketing«, automatic incident detection; weather information systems itd.
Learning and teaching methods
- classical lectures
- classical tutorial
- seminar
- field work
Intended learning outcomes - knowledge and understanding
Knowledge and Understanding:
To understand the capabilities and limits of different transportation telematics (ITS) services.
Intended learning outcomes - transferable/key skills and other attributes
Transferable/Key Skills and other attributes:
To understand the role and potential for the implementation of different transportation telematics solutions into transportation and traffic engineering practice.
Readings
Lep M.: Zbrano učno gradivo
ROAD NETWORK OPERATIONS & INTELLIGENT TRANSPORT SYSTEMS A GUIDE FOR PRACTITIONERS (dostopno/available: https://rno-its.piarc.org/en)
Traffic Detector Handbook, FHWA-HRT-06, US DoT, 2006
Oprema za merjenje prometa:
- števci (pnevmatski, magnetni, indukcijski), kamera, laserski merilnik hitrosti
- kamere za avtomatsko analiziranje prometa
Additional information on implementation and assessment Two tests as written exam.
Oral exam.
Report
