COURSE UNIT TITLE

: OPTIMIZATION IN TRANSPORTATION AND MODELLING TECHNIQUES

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ELECTIVE

Offered By

City and Regional Planning

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR IREM AYHAN SELÇUK

Offered to

City and Regional Planning

Course Objective

The aim of this course is to increase the knowledge of the technical tools that city planning students can use in transportation planning, by giving examples of the methods used in the planning of transportation systems and helping decision-making for public transportation systems and route determination.

Learning Outcomes of the Course Unit

1   1. to learn the meaning and installation of the the model,
2   2. to learn optimization in transportation and modelling methods are used in this process,
3   3. to solve optimization problems in transportation using the given methods.
4   4. to interpret the advantages and disadvantages of the methods used compared to each other.
5   5. to learn to analyze the learned methods through a computer program,
6   6. to evaluate model results.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Modeling Techniques In Transportation
2 Modelling in Transportation Problems
3 Initial Solution Models
4 Initial Solution Models
5 Initial Solution Models (Classroom Application)
6 Homework Design
7 Midterm Exam (%30)
8 Optimum Solution Models
9 Optimum Solution Models
10 Optimum Solution Models (Classroom Application)
11 CPM-PERT
12 CPM-PERT (Classroom Application)
13 Homework (%30)
14 Final Exam
15 Final Exam

Recomended or Required Reading

Hillier, F.S. ve Lieberman, G.J. (2005), Introduction to Operations Research, 8. baskı, 2005, McGraw Hill, New York, NY.
Koopmans, T. C. (1949), Optimum Utilization of the Transportation System, Proceedings of the International Statistical Conferences, 5, 136-145.
Koopmans, T. C., editör (1951a), Activity Analysis of Production and Allocation, New York, Wiley.
Koopmans, T. C. ve Reiter, S. (1951), A Model of Transportation, Koopmans, T. C., editör, Activity Analysis of Production and Allocation, 222-259, New York, Wiley.
Türkay, M. (b.t). Optimizasyon Modelleri ve Çözüm Metodları, http://home.ku.edu.tr/~mturkay/indr262/Optimizasyon.pdf
Ulaşım Stratejileri ve Toplu Taşıma Sistemlerinin Şehir Planlama Disiplini Açısından Analiz Edilmesi:Izmir Örneği", Araştırma Projesi Koordinatörü: Dr.Öğr.Üyesi Irem AYHAN SELÇUK, Münferit Proje, 2017.KB.FEN.016, DEÜ BAP Koordinasyon Birimi destekli proje, Projedeki tüm Görevlere katılım, Haziran 2017 - Aralık 2019.
Ayhan Selçuk, I, "ERIŞILEBILIRLIKTE EŞIK DEĞERLER: IZMIR MERKEZ KENT ÖRNEĞI", Uluslararası Sosyal Bilimler Akademi Dergisi (USBAD), 1/6/986-1011/25.08.2021, Ağustos 2021, Araştırma(Research) Makale, Indeks Copernikus, Asos Indeks.
Gülsüm Ecem Demirdağ, Ayhan Selçuk I, "Izmir Metro Sisteminin Çevresinde Meydana Gelen Demografik ve Mekansal Etkilerin Incelenmesi", USBAD Uluslararası Sosyal Bilimler Akademi Dergisi, 1/5/702-731/3, Nisan 2021, Araştırma(Research) Makale, Indeks Copernikus, Asos Indeks.
Gülsüm Ecem Demirdağ, Ayhan Selçuk, I, "The Importance of Integration Between Transportation and Land Use Planning", ISPEC 7th INTERNATIONAL CONFERENCE ON ENGINEERING & NATURAL SCIENCES (7. ULUSLARARASI ISPEC MÜHENDISLIK VE FEN BILIMLERI KONGRESI), Izmir, Mayıs 2020, serbest bildiri, ISPEC 7th International Conference on Engineering&Natural Sciences, 1-8, Uluslararası Hakemli organizasyon, (ayrıca makalesi yayınlanmıştır.)

Planned Learning Activities and Teaching Methods

The course has a method that proceeds through lectures on optimization methods in transportation and sample problem solutions.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FINS FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.30 + FINS * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.30 + RST * 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

Description, analysis, interpretation and evaluation are measured by the Midterm exam, homework and Final Exam.

Language of Instruction

Turkish

Course Policies and Rules

The course has a method that proceeds through lectures on optimization methods in transportation and sample problem solutions.

Contact Details for the Lecturer(s)

irem.ayhan@deu.edu.tr, oda no:z.11, 02323018434

Office Hours

Friday, 8.30-10.15

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparations before/after weekly lectures 14 2 28
Preparation for final exam 1 15 15
Preparation for midterm exam 1 10 10
Final 1 2 2
Midterm 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 87

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16PO.17
LO.111
LO.211
LO.311
LO.41
LO.5111
LO.6111

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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