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Syllabus ( TTI 518 )

   Basic information
Course title: Traffic Management
Course code: TTI 518
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: Intersection design will be discussed within the details of signalized intersection design, including the determination of protection times that form the basis for signalized intersection design, dilemma zone analysis, intergreen time, and the relationship between optimum cycle time. Within the scope of the course, the queuing theory topic is also addressed in conjunction with traffic engineering applications, explained with examples in both signalized intersections and other application areas related to traffic flow.
   Learning outcomes Up

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

  1. To describe the fundamentals and application areas of traffic management.

    Contribution to Program Outcomes

    1. Gelişmiş mühendislik ve planlama problemlerini formüle edip çözmek (4)
    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)

    Method of assessment

    1. Written exam
    2. Homework assignment
  2. To explain the terms and fundamentals of signalization design.

    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. To analyze traffic flow through queuing theory.

    Contribution to Program Outcomes

    1. 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)
    2. Gelişmiş mühendislik ve planlama problemlerini formüle edip çözmek (4)

    Method of assessment

    1. Written exam
    2. Homework assignment
  4. To define the fundamentals of intersection design principles.

    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
   Contents Up
Week 1: Introduction to Traffic Management
Week 2: Characteristics and Requirements of Traffic Management
Week 3: Traffic Management with Signalized Intersections: History and Definitions
Week 4: Saturation Flow Rate Calculation and Measurement
Week 5: Protection Times and Phase Sequences
Week 6: Dilemma Zone
Week 7: 1st Midterm Exam, Webster Method, Minimum and Optimum Cycle Time Calculation
Week 8: Introduction to Queuing Theory
Week 9: Fundamentals of Queuing Theory
Week 10: Signalized Intersection Analysis with Queuing Theory
Week 11: 2nd Midterm Exam, Toll Booth Analysis with Queuing Theory
Week 12: Delay and Performance Analyses with Queuing Theory
Week 13: At grade Intersection Design
Week 14: Sample Intersection Design
Week 15*: -
Week 16*: Final Exam
Textbooks and materials: Lecture notes prepared by the instructor
Recommended readings: Roger P. Roess , Elena S. Prassas , and William R. McShane, Traffic Engineering, 4/E, Pearson (2011).
  * 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: 7, 11 30
Other in-term studies: 0
Project: 0
Homework: 4, 5, 7, 12, 13 20
Quiz: 0
Final exam: 16 50
  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: 6 5
Term project: 0 0
Term project presentation: 0 0
Quiz: 0 0
Own study for mid-term exam: 8 2
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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