Description

The course aims to provide students with knowledge of all kinds of intelligent transportation services including traveler information systems, and to understand the physical and technological background of traffic detectors, sensors and other ITS equipment.

Requirements

No prerequisites required.

Instructors

doc. dr. CHIARA GRUDEN

Contents

• 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
• Enabling technologies: inductive loop detectors, piezoelectric sensors, magnetic sensors, weight in motion (WIM), video image processors, microwave radar, IR sensors, acoustic sensors, GPS/GSM tracing and navigation
• Integrated systems case studies: traveler information systems, route and parking guiding systems, ETC, city toll, ticketing, automatic incident detection, weather information systems

Learning Outcomes

Knowledge and understanding:

To understand the capabilities and limits of different transportation telematics (ITS) services.

Transferable/key skills:

To understand the role and potential for the implementation of different transportation telematics solutions into transportation and traffic engineering practice.

Recommended Readings and Tools

Readings:

• Lep, M.: Zbrano učno gradivo (collected learning materials).
• Road Network Operations & Intelligent Transport Systems Manual – A Guide for Practitioners. PIARC.
• Traffic Detector Handbook, FHWA-HRT-06, US DoT, 2006.

Planned Activities

Classical lectures, classical tutorial, seminar, and field work.

Course structure:

• Lectures: 25 hours
• Tutorial: 20 hours
• Individual work: 45 hours
• Total: 90 hours

Assessment Methods and Criteria

Assessment weights:

• Written examination: 50%
• Report: 30%
• Oral examination: 20%

Additional information:

The student can replace the written exam with two written tests.