Telematic Interfaces
Abbreviation: TELSUČ Load: 30(L) + 30(E) + 0(LE) + 0(S) + 0(FLE) + 0(PEE)
Lecturers in charge: dr. sc. Niko Jelušić
Lecturers: doc. dr. sc. Miroslav Vujić ( Exercises, Lectures )
Dominik Cvetek mag. ing. traff. ( Exercises )
Course description: Concept and significance of telematic system interface. The role of information from the traffic system in ITS. Data requirements of modern telematic systems from the traffic system. Description and role of traffic flow parameters in automatic traffic management. Processes in interfaces telematic system-traffic system from the aspect of information processing. Elements of interface Telematic System-Traffic System. Sensors. Types of sensors. Static and dynamic characteristics. Physical principles of sensors. Traffic flow sensors. Designs and characteristics of traffic flow sensors. Interfaces for information exchange participants in the traffic-telematic system. Man and sound experience. Electroacoustic converters. Man and video information. Interfaces for presenting information to traffic participants. Signaling lights, variable traffic signs, displays. Telecommunication basis of information exchange between the interface and the telematic system. Telecommunication infrastructure for information transmission between telematic system and interfaces. Identification technologies in ITS.
Lecture languages: - - -
Compulsory literature:
1. Jelušić, N.: Autorizirana predavanja - nastavni tekst (http://e-student.fpz.hr)
2. Gordon, R. L. et al.: Traffic Control Systems Handbook, Federal Highway Administration, U.S. DOT, Washington DC, 2005.
3. Klein, L.A., et al.: Traffic Detector Handbook, Federal Highway Administration, 2006.
Recommended literature:
4. Klein, L.A.: Sensor Technologies and Data Requirements for ITS, Artech House, Boston, London, 2001.
5. Carne, E.B.: Telecommunication primer; data, voice and video communication, Prentice Hall PTR, 1999.
6. Martin, P.T., Feng, Y., Wang, X.: Detector Technology Evaluation, MPC Report No. 03-154, University of Utah Traffic Lab, 2003.
7. Ehmke, J.F.: Integration of Information and Optimization Models for Routing in City Logistics, vol. 177. Boston, MA: Springer US, 2012.
Legend
L - Lectures
E - Exercises
LE - Laboratory exercises
S - Seminar
FLE - Practical foreign language exercises
PEE - Physical education excercises
* - Not graded