Prerequisits
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Basic knowledge of Computer and information science, Programing and Databases, Physics |
Content (Syllabus outline)
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Transportation telematics, functional classification (travel and traffic information, public transport management, fleet & freight management, demand management, road and road traffic management, cooperative driving). ITS – architectures, approaches, standards.
Transportation informatics:
data models,
data standards,
spatial databases,
Geographic information systems, geo-coding, geo-referencing. Digital maps. Door-to-door guiding systems.
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 for telematic functions in transportation:
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. |
Readings
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Lep M.: Zbrano gradivo – učbenik (v pripravi)
Dokumentacija ISO / TC 204
Geografski informacijski sistemi (monografija, uporabniški priročniki)
Lep M., Jazbec S.: Telematika v prometu - zbrano gradivo
Spletni naslovi za posamezna področja (dinamično obnavljanje)
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Objectives and competences
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To understand technical and functional capabilities of modern information and telecommunication technologies. |
Intended learning outcomes - knowledge and understanding
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To use the information and telematics technologies in the transportation planning, management, contolling praxis.
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Intended learning outcomes - transferable/key skills and other attributes
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Data models and Spatial databases (especially for the transportaion modelling)
GIS technology.
Use of modern technology in all fields of transportation engineering.
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Learning and teaching methods
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Lectures.
Laboratory practice with GIS and other SW and Hrdware (GPS, radar etc.) |