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Syllabus ( TTI 523 )


   Basic information
Course title: Transportation Systems Analysis
Course code: TTI 523
Lecturer: Assist. Prof. Göker AKSOY
ECTS credits: 7.5
GTU credits: 3 (3+0+0)
Year, Semester: 2023, Fall
Level of course: Second Cycle (Master's)
Type of course: Institute elective
Language of instruction: Turkish
Mode of delivery: Face to face
Pre- and co-requisites: none
Professional practice: No
Purpose of the course: The relationships between transportation system analysis and transportation system and activity system will be explained. Transportation demand, the examination of individual user behavior, utility functions, and indifference curves, deterministic and stochastic models for consumer behavior will be described. Predicting human behavior within communities, transportation supply, cost functions, internalizing external costs, and discussing pricing policies for traffic congestion will be addressed. In transportation system performance research, topics such as performance functions, network analysis, evaluation and selection, cost-benefit analysis of transportation projects, and multi-criteria evaluation techniques will be examined
   Learning outcomes Up

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

  1. Understand the fundamental relationship between transportation demand, land use, and the transportation system

    Contribution to Program Outcomes

    1. Akıllı Şehir ve Ulaşım teknolojileri araştırma alanındaki literatürü dikkatlice gözden geçirip, kendi sonuçları ile mevcut literatür arasında bağlantı kurmak (2)
    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)

    Method of assessment

    1. Written exam
    2. Homework assignment
  2. Learn consumer behavior models used for forecasting transportation demand

    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)
    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. learn the fundamental characteristics of transportation supply

    Contribution to Program Outcomes

    1. 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
  4. Conduct performance evaluations in transportation networks

    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
   Contents Up
Week 1: Definition, scope, and objectives of transportation system analysis
Week 2: Transportation demand theory
Week 3: The role of individual behavior and time value in transportation demand
Week 4: Transportation demand curve
Week 5: Consumer behavior model: Utility functions and indifference curves
Week 6: Consumer behavior model: Deterministic approach
Week 7: Consumer behavior model: Stochastic approach
Week 8: Aggregated transportation demand, elasticity
Week 9: Transportation supply theory, Internalizing external costs
Week 10: Transportation supply, cost functions, and supply curve
Week 11: Transportation system performance, performance functions
Week 12: Relationships between transportation system and activity system
Week 13: Supply/demand equilibrium in transportation, Route selection approaches
Week 14: Supply/demand - Midterm exam
Week 15*: -
Week 16*: Final Exam
Textbooks and materials: Ortuzar, J. D., and Willumsen, L. G. (2011) Modelling Transport, 4th Edition, John Wiley and Sons Ltd., West Sussex.
Lecture notes and presentations

Recommended readings: Cascetta E. (2009) Transportation System Analysis: Models and Applications, Springer, New York.
Sussman, J. (2001) Introduction to Transportation Systems, Artech House Publishers, Norwood.
Manheim, M. (1979) Fundamentals of Transportation Systems Analysis, The MIT Press, Cambridge
  * 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: 14 30
Other in-term studies: 0
Project: 0
Homework: 3,5,7,9 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: 7 4
Term project: 0 0
Term project presentation: 0 0
Quiz: 0 0
Own study for mid-term exam: 8 2
Mid-term: 4 1
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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