Intelligent Transportation Systems
A tantárgyleírás hatályossága
| Subject name (Hungarian, English) |
Intelligens közlekedési rendszerek
Intelligent Transportation Systems
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| Subject code | BMEVITMMA10 | ||||||||||||
| Subject type | — | ||||||||||||
| Training Level | — | ||||||||||||
| Course types and hours (weekly/semester) |
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| Assessment type | vizsga | ||||||||||||
| Credits | 4 | ||||||||||||
| Subject coordinator |
DR. Vida Rolland
position: egyetemi docens
contact:
vida.rolland@vik.bme.hu
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| Responsible department |
Távközlési és Mesterséges Intelligencia Tanszék
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| Faculty | Villamosmérnöki és Informatikai Kar | ||||||||||||
| Subject website | — | ||||||||||||
| Primary curriculum type | — | ||||||||||||
| Direct prerequisites – Strong prerequisite | none | ||||||||||||
| Direct prerequisites – Weak prerequisite | none | ||||||||||||
| Direct prerequisites – Parallel prerequisite | none | ||||||||||||
| Direct prerequisites – Milestone prerequisite | none | ||||||||||||
| Direct prerequisites – Exclusion | none |
Objectives
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.
Learning outcomes
Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:
Knowledge
No learning outcomes recorded.
Skills
No learning outcomes recorded.
Attitudes
No learning outcomes recorded.
Autonomy and responsibility
No learning outcomes recorded.
Oktatási módszertan
Tanulástámogató anyagok
Online források
Recommended preliminary knowledge for completing the subject
General rules
Assessment methods
In-term assessments
No detailed assessments provided.
Weight of in-term assessments
No weights provided.
Exam-period assessments
No detailed assessments provided.
Weight of exam elements
No weights provided.
Grade calculation
No grade thresholds provided.
Attendance requirements
No attendance requirements provided.
Rules for retake and resubmission
Not provided.
Short description
Not provided.
Detailed description
Not provided.
Recommended courses
Workload to complete the subject
No workload breakdown provided.
Validity of subject requirements
Curriculum placement
No curriculum placements recorded for this subject version.