Information Package / Course Catalogue
| Course Code | : MCE556 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : English |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 8 |
The objectives of this course are to provide students with a comprehensive understanding of urban transportation networks, transportation assignment models, and algorithms, and enabling them to analyze urban transportation networks.
This course covers a range of topics related to urban transportation network analysis and modeling, including the definitions of transportation networks, shortest path algorithms, all-or-nothing and capacity restraint assignment models, deterministic and stochastic user equilibrium, user equilibrium with variable demand, mode choice and trip distribution problems, user equilibrium models with link-flow interactions, joint travel choice models, transit assignment models, and dynamic assignment models.
| Lec. Mehmet Metin MUTLU |
| 1. | Students will have a solid understanding of urban transportation networks. |
| 2. | Students will be able to apply the concepts of deterministic/stochastic and static/dynamic traffic assignment models. |
| 3. | Students will gain knowledge in transit assignment models and be able to apply these models. |
| 4. | Students will be able to use transportation assignment models in predicting transportation network flows and forecast the effect of network design decisions to transportation system performance. |
| 5. | Students will be able to implement the models required by their field of expertise using programming languages, and to program algorithms to evaluate the obtained outputs using numerical and graphical methods. |
| 1. | Urban Transportation Networks (Sheffi, 1985) |
| 2. | Transportation Systems Analysis: Models and Applications (Cascetta, 2009) |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %40 |
| Assignment | 2 | %30 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 2 | 3 | 70 |
| Assignment | 2 | 20 | 10 | 60 |
| Individual Work | 2 | 10 | 1 | 22 |
| Midterm Examination | 1 | 20 | 3 | 23 |
| Final Examination | 1 | 25 | 3 | 28 |
| TOTAL WORKLOAD (hours) | 203 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | |
OÇ-1 | 3 | 4 | 4 | 3 | 3 | 4 | 3 | 4 | 4 | 3 | 3 | 3 | 5 |
OÇ-2 | 4 | 5 | 4 | 5 | 5 | 4 | 4 | 5 | 5 | 4 | 4 | 4 | 5 |
OÇ-3 | 4 | 5 | 4 | 5 | 5 | 4 | 4 | 5 | 5 | 4 | 4 | 4 | 5 |
OÇ-4 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 4 | 5 | 5 |
OÇ-5 | 4 | 5 | 5 | 5 | 5 | 5 | 4 | 5 | 5 | 5 | 3 | 4 | 4 |