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TRANSPORTATION MODELING AND PLANNING

Course
CVLE551 - TRANSPORTATION MODELING AND PLANNING
Department
Civil Engineering - English - Master
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
-
Prerequisite
-
Keywords

Course Description

In Transportation Modeling and Planning course, students will learn transportation demand theory. Students will be introduced to classical approach to transportation planning and modeling: trip generation, trip distribution, modal split and traffic assignment techniques and models. Transportation Modeling and Planning course covers Direct-demand models, Survey methods, Quick-response methods, Disaggregate travel demand modeling and Freight demand and car-ownership modeling. Students will also be introduced to advanced methods in planning. Introduction to transportation planning software’s will be discussed in Transportation Modeling and Planning course. Term Project and group works will be organized to increase the effectiveness of Transportation Modeling and Planning course.

TRANSPORTATION MODELING AND PLANNING

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

  1. 01 Designing of Data Collection methods and Analysis methods
  2. 02 Model development Principles and Real Life Scenarios development
  3. 03 Network Development
  4. 04 Multi-Modal Transport matrices and Forecasting
  5. 05 Model Building and reliability analysis
  6. 06 Design of Urban Transport with Use of Models for Transport Planning
  7. 07 Developing Transport Planning: National, Regional and Local Models

Course Syllabus

Week Topic
Week 1 Data Collection Methods
Week 2 data for Models
Week 3 Model Development Principles - 1
Week 4 Model Development Principles - 2
Week 5 Model Development Principles - 3
Week 6 Network Development
Week 7 Multi-Modal Transport Matrix XDevelopment
Week 8 Course Work 1 Completion and Submission - Data Collection and Analysis
Week 9 Matrix Building Through surveys
Week 10 Models Available - 1
Week 11 Models Available - 2
Week 12 Transport Plans: National, Regional, Local - 1
Week 13 Transport Plans: National, Regional, Local - 1
Week 14 Course Work 1 Completion and Submission - Matrix Development and HHLD Surveys
Week 15 Final Exam

Reference Books & Course Materials

  1. 01 Juan de Dios Ortúzar, Luis G. Willumsen. Modelling Transport, 4th Edition, 2011.
  2. 02 Taylor, Bonsall Young: Understanding Traffic Systems, 2000.
  3. 03 CIHT, Transport in the urban environment (TUE), 1997.

Learning Outcomes

  1. L01 develop an understanding, applied examples and practical knowledge base through real-life projects to enable students apply their learning in the field of Highways Engineering
  2. L02 good practice and innovative solutions which has since been developed fro the days of the initial calculation of pavement design and pavement types
  3. L03 properties, quality requirements of highway materials: subgrades, subbases, bases and asphalt pavements
  4. L04 design of pavements and construction procedures and plants
  5. L05 compaction control, asphalt pavement types, bituminous materials and mineral aggregates, surface treatment, hot-mix asphalt (HMA) design and calculations
  6. L06 typical failures of asphalt pavements and diagnosis of probable causes in the area
  7. L07 Site visits to observe the production of aggregates, HMA plant and laboratory in the local area

Program Outcomes

  1. 1. Analyzes, compares, and synthesizes advanced theoretical and applied knowledge in subfields of civil engineering.
  2. 2. Identifies a problem in the field, formulates a research question, collects and analyzes data, and draws conclusions using scientific methods.
  3. 3. Develops innovative solutions by applying modeling, analysis, and interpretation skills to complex engineering problems.
  4. 4. Designs new systems, processes, or materials by considering real-world constraints such as economy, environment, sustainability, and safety.
  5. 5. Plans laboratory or field studies, collects data, performs statistical analysis, and derives scientific results.
  6. 6. Effectively uses modern analysis and design software, information technologies, and measurement tools in civil engineering applications.
  7. 7. Recognizes, interprets, and integrates relationships between civil engineering and other engineering or scientific disciplines.
  8. 8. Acts in accordance with ethical principles, demonstrates professional responsibility, and evaluates the societal impacts of engineering practices.
  9. 9. Communicates research and engineering outcomes clearly and effectively through written, oral, and visual means.
  10. 10. Works effectively in intra- and interdisciplinary teams and assumes leadership roles when necessary.
  11. 11. Follows, critically evaluates, and continuously improves professional knowledge and skills through lifelong learning.
  12. 12. Evaluates the environmental, sustainability, and societal impacts of engineering practices and develops responsible solutions.

Po-Lo Matrix

LO Average
L01 - - - - - - - - - - - - -
L02 - - - - - - - - - - - - -
L03 - - - - - - - - - - - - -
L04 - - - - - - - - - - - - -
L05 - - - - - - - - - - - - -
L06 - - - - - - - - - - - - -
L07 - - - - - - - - - - - - -