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Syllabus ( TTI 512 )


   Basic information
Course title: Intelligent Transportation Systems
Course code: TTI 512
Lecturer: Assist. Prof. Göker AKSOY
ECTS credits: 7,5
GTU credits: 3 (3+0+0)
Year, Semester: 1/2, Spring
Level of course: Second Cycle (Master's)
Type of course: Area Elective
Language of instruction: Turkish
Mode of delivery: Face to face
Pre- and co-requisites: none
Professional practice: No
Purpose of the course: The components and architecture of Intelligent Transportation Systems, Multi-Modal Travel Management and Regional Passenger Information Systems, Traffic Management Systems, Accident-Breakdown Management and Emergency Management Systems, Advanced Passenger Information Systems, Electronic Payment Systems and Congestion Pricing, Vehicle-Based Security and Surveillance Systems, Advanced Public Transportation Systems, Commercial Vehicle Inspection Systems, Weather Information Systems, Navigation Systems, Dynamic Route Guidance, and Highway Traffic Control are intended to be taught.
   Learning outcomes Up

Upon successful completion of this course, students will be able to:

  1. To obtain comprehensive information about intelligent transportation systems.

    Contribution to Program Outcomes

    1. Akıllı Şehir ve Akıllı Ulaşım kavramlarını tanımlamak ve uygulamak (1)
    2. Akıllı Şehir ve Ulaşım teknolojileri araştırma alanındaki literatürü dikkatlice gözden geçirip, kendi sonuçları ile mevcut literatür arasında bağlantı kurmak (2)
    3. Akıllı Şehir ve Ulaşım teknolojileri alanındaki modern ekipman ve yazılımları kullanmak, ilgili teknik becerilerden faydalanmak (5)

    Method of assessment

    1. Written exam
    2. Homework assignment
    3. Seminar/presentation
  2. To demonstrate the national and driver-based economic gains of intelligent transportation systems.

    Contribution to Program Outcomes

    1. Akıllı Şehir ve Akıllı Ulaşım kavramlarını tanımlamak ve uygulamak (1)
    2. Akıllı Şehir ve Ulaşım teknolojileri alanındaki modern ekipman ve yazılımları kullanmak, ilgili teknik becerilerden faydalanmak (5)
    3. Modern teknolojiyle sürekli öğrenme bilinci geliştirmek (9)
    4. Mevcut bilgiyi geliştirme yöntemleri bulmak (10)

    Method of assessment

    1. Written exam
    2. Homework assignment
    3. Seminar/presentation
  3. To assess the performance of an existing intelligent transportation system application.

    Contribution to Program Outcomes

    1. Akıllı Şehir ve Akıllı Ulaşım kavramlarını tanımlamak ve uygulamak (1)
    2. Veri yönetimi ve analitiği, coğrafi bilgi teknolojileri, ulaşım/trafik yönetimi, sensörler, haberleşme ve ağ altyapısı gibi teknikleri araştırma ve projelerinde tanımlamak, analiz etmek ve çözmek (3)
    3. Gelişmiş mühendislik ve planlama problemlerini formüle edip çözmek (4)
    4. Mevcut bilgiyi geliştirme yöntemleri bulmak (10)

    Method of assessment

    1. Written exam
    2. Homework assignment
    3. Seminar/presentation
  4. To learn about the impacts of intelligent transportation systems on traffic and driver behaviors.

    Contribution to Program Outcomes

    1. Akıllı Şehir ve Akıllı Ulaşım kavramlarını tanımlamak ve uygulamak (1)
    2. Veri yönetimi ve analitiği, coğrafi bilgi teknolojileri, ulaşım/trafik yönetimi, sensörler, haberleşme ve ağ altyapısı gibi teknikleri araştırma ve projelerinde tanımlamak, analiz etmek ve çözmek (3)
    3. Akıllı Şehir ve Ulaşım teknolojileri alanındaki modern ekipman ve yazılımları kullanmak, ilgili teknik becerilerden faydalanmak (5)
    4. Disiplinler arası etkileşim bulunan araştırma takımlarında etkin şekilde çalışmak (8)

    Method of assessment

    1. Written exam
    2. Homework assignment
    3. Seminar/presentation
   Contents Up
Week 1: Introduction to Intelligent Transportation Systems (ITS)
Week 2: National Intelligent Transportation Systems Strategy Document policies, implementations, and Turkey's ITS strategy by the Ministry of Transport, Maritime Affairs and Communications
Week 3: Traffic Management: Traditional and Advanced Systems
Week 4: Traffic Management Systems: Infrastructure, Observation, Lane Management, Information Dissemination
Week 5: Traffic Management Systems: Arterial Management Systems, Adaptive Signal Control Systems, Coordinated Signal Control Systems
Week 6: Accident-Breakdown Management: Observation and Detection, Automatic Vehicle Location. Advanced Passenger Information Systems. Emergency Management Systems
Week 7: Electronic Payment Systems: Toll Systems, Public Transportation Payment Systems, Parking Payment Systems, Multi-Use Payments
Week 8: Congestion Pricing Systems: Variable Priced Lanes, Variable Priced Toll Booths, Cordoning Pricing, Area Pricing
Week 9: Vehicle-Based Security and Surveillance Systems, Advanced Public Transportation Systems
Week 10: Commercial Vehicle Inspection Systems – Weather Information Systems, Navigation Systems, Dynamic Route Guidance
Week 11: Midterm Exam, Highway Traffic Management: Participation Control Measures
Week 12: Highway Traffic Management: Participation Control Methods
Week 13: Highway Traffic Control: Participation Control Methods
Week 14: Highway Traffic Control: Variable Speed Control
Week 15*: -
Week 16*: Final Exam
Textbooks and materials: Lecture notes prepared by the instructor
Recommended readings: Sussman, J.M., Perspectives on Intelligent Transportation Systems (ITS), Springer, 2010
McQueen, J., McQueen, B., Intelligent Transportation Systems Architectures (ITS/GPS), Artech House, 1999
  * Between 15th and 16th weeks is there a free week for students to prepare for final exam.
Assessment Up
Method of assessment Week number Weight (%)
Mid-terms: 11 30
Other in-term studies: 0
Project: 0
Homework: 6, 7, 8, 9, 10, 11, 12, 13 30
Quiz: 0
Final exam: 16 40
  Total weight:
(%)
   Workload Up
Activity Duration (Hours per week) Total number of weeks Total hours in term
Courses (Face-to-face teaching): 3 14
Own studies outside class: 6 14
Practice, Recitation: 0 0
Homework: 5 8
Term project: 0 0
Term project presentation: 0 0
Quiz: 0 0
Own study for mid-term exam: 5 1
Mid-term: 2 2
Personal studies for final exam: 10 1
Final exam: 2 1
    Total workload:
    Total ECTS credits:
*
  * ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
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