| Course Type | Elective Course |
|---|
| Course Level | Master's Degree With Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Explain and analyze the fundamentals of transportation planning, including travel demand forecasting and traffic modeling,
- Collect, organize, and analyze travel demand data and apply analytical and computational models such as trip distribution, modal split, and traffic assignment,
- Evaluate the effects of demand and capacity changes on transportation networks using quantitative modeling approaches to support decision-making.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | Detailed study of the transportation planning process. Inventory of existing travel demand, different types of O-D studies, analysis and model building, trip generation, trip distribution model split and trip assignment techniques, forecasting and plan evaluation. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction to transportation planning |
|
2nd Week |
Transportation systems and planning approaches |
|
3rd Week |
Travel demand and traffic modeling fundamentals |
|
4th Week |
Travel demand forecasting methods |
|
5th Week |
Travel demand data collection techniques |
|
6th Week |
Household and activity-based surveys |
|
7th Week |
Origin-Destination (O-D) analysis |
|
8th Week |
Midterm |
|
9th Week |
Trip distribution models |
|
10th Week |
Modal split models |
|
11th Week |
Traffic assignment techniques |
|
12th Week |
Network performance and capacity analysis |
|
13th Week |
Demand-supply interaction and network effects |
|
14th Week |
Evaluation of planning alternatives |
|
15th Week |
Applied modeling and course review |
|
| Recommended or Required Reading | 1. Koppelman, F. S., & Bhat, C. (2006). A self instructing course in mode choice modeling: multinomial and nested logit models.
2. Roess, R. P., Prassas, E. S., & McShane, W. R. (2004). Traffic engineering (pp. 1-99). Pearson/Prentice Hall. |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Presentation
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
1 |
10 |
| Quiz |
1 |
20 |
| Total(%) |
|
60 |
| Contribution of In-term Studies to Overall Grade(%) |
|
60 |
| Contribution of Final Examination to Overall Grade(%) |
|
40 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
1 |
50 |
50 |
| Individual or group work |
14 |
3 |
42 |
| Preparation for Final exam |
1 |
80 |
80 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
60 |
60 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
1 |
20 |
20 |
| Quiz |
1 |
2 |
2 |
| Total Work Load | 300 |
| Total Work Load / 30 (h) | 10 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | English |
|---|
| Work Placement(s) | No |
|---|
