Intelligent Transportation Systems

A tantárgy neve magyarul / Name of the subject in Hungarian: Intelligens közlekedési rendszerek

Last updated: 2016. május 25.

Budapest University of Technology and Economics
Faculty of Electrical Engineering and Informatics
MSc in Electrical Engineering, Secondary Specialization: Smart City
Course ID Semester Assessment Credit Tantárgyfélév
VITMMA10 2 2/1/0/v 4  
3. Course coordinator and department Dr. Vida Rolland,
4. Instructors Csaba Simon, PhD - Associate Professor

Rolland Vida, PhD - Associate Professor

5. Required knowledge Infocommunications
Networking technologies and applications

6. Pre-requisites
Kötelező:
NEM ( TárgyEredmény( "BMEVIIIM271" , "jegy" , _ ) >= 2
VAGY
TárgyEredmény( "BMEVIIIM333" , "jegy" , _ ) >= 2
VAGY
TárgyEredmény("BMEVIIIM271", "FELVETEL", AktualisFelev()) > 0
VAGY
TárgyEredmény("BMEVIIIM333", "FELVETEL", AktualisFelev()) > 0)

A fenti forma a Neptun sajátja, ezen technikai okokból nem változtattunk.

A kötelező előtanulmányi rendek grafikus formában itt láthatók.

Ajánlott:
Recommended: BMEVITMAB03 Infocommunication
7. Objectives, learning outcomes and obtained knowledge

The goal of the course is to introduce the students into the basics of intelligent transportation systems, with a special focus on the networking details. We present the vehicular infrastructure and the infocommunication solutions that integrate the vehicle and the related sensors. We detail the methods used to implement the inter-vehicular self-organizing and distributed communication systems, looking beyond the classical fixed infrastructure technologies (e.g., GSM). Such methods support the formation of large networks with mobile nodes with limited coverage. We also discuss the intra-vehicular communication, the methods used for localization, and the vehicle-to-infrastructure communication. Finally, we present the most important applications from this field (accident prevention, intelligent parking, fleet monitoring, e-tolls, cooperative systems, etc.).

8. Synopsis

1.      The basics of the intelligent information systems, the concept of Intelligent Transportation System (ITS). Localization systems in vehicular networks.

2.      Intra-vehicular communication technologies. Typical sensors used: temperature, humidity, odometer, tachograph, radar, etc.

3.      Inter-vehicular communication technologies and intelligent protocols. Vehicular Ad hoc Networks (VANET). Specific mobility models, routing and group formation protocols.

4.      V2V - Vehicle to Vehicle communication: protocols and algorithms (ODAM, SPACE, SOTIS, etc.)

5.      The most important applications for intelligent transportation. The web2 és GeoWeb technologies. Applications based on crowdsoursing methods (Waze). Monitoring systems used in ITS. The Floating Car Data concept.

6.      Automatized e-toll systems. System models and use cases (FleetNet, RuBENS, C2C, PREVENT).

7.      Intelligent indoor and outdoor parking systems. Integration of crowd sourcing and incentives.

8.      Modelling and simulation. Presenting the most used (traffic, network, etc.) tools, application  scenarios.

9.      Geographic Information Systems (GIS) and creation/integration of digital maps into ITS.

10.  Security aspects of ITS. Authentication, monitoring. Privacy and anonymity. Secure communication and localization.

9. Method of instruction

2 hours of lectures each week, 2-hour laboratory work bi-weekly. The theoretical knowledge presented in the lectures is completed by uses cases and practical examples, parts of which are prepared by the students as part of a homework.

10. Assessment

The requirement for the signature is the presentation of a homework prepared during the year.

11. Recaps Submission of the homework before the exam period.

 

12. Consultations Based on personal discussions with the lecturers. 
13. References, textbooks and resources A. L.C. Bazzan, F. Klügl, Introduction to Intelligent Systems in Traffic and Transportation, Morgan & Claypool Pub., 2013.

H. Zhu, M. Li, Studies on Urban Vehicular Ad-hoc Networks, Springer, 2013.

G. Karagiannis et al., Vehicular networking: A survey and tutorial on requirements, architectures, challenges, standards and solutions, IEEE Communications Surveys & Tutorials, 13.4, pp. 584-616, 2011.
14. Required learning hours and assignment
Kontakt óra42
Félévközi készülés órákra14
Felkészülés zárthelyire 
Házi feladat elkészítése16
Kijelölt írásos tananyag elsajátítása 
Vizsgafelkészülés48
Összesen120
15. Syllabus prepared by Csaba Simon, PhD - Associate Professor

Rolland Vida, PhD - Associate Professor