TRANSPORTATION ENGINEERING
- Course
- CVLE361 - TRANSPORTATION ENGINEERING
- Department
- Civil Engineering - English - Undergraduate
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 6
- T+P+L
- 3 + 0 + 1
- Course Coordinator(s)
- Assoc. Prof. Dr. Mohammad Ali MOSABERPANAH
- Prerequisite
Course Description
Introduction. Transportation system issues and challenges.Design Standards of highways as the most popular and dominant mode ; Sight distances, driver and vehicle characteristics. Geometric Cross Section, Vertical Alignment, Horizontal Alignment of roads. Working with coordinates for the setting out of simple and composite curves and side slopes. Superelevation both for simple and transition curves. Intersections and Interchanges and their control.. Earthworks Volumes and Mass diagrams. Structural cross section, pavement types and materials. Importance of drainage and maintenance of Roads.
TRANSPORTATION ENGINEERING
Evaluation Tools (Active Term)
No evaluation items have been defined.
Course outcomes
- 01 be able to start thinking critically about fundamental issues in transportation
- 02 have basic understanding of the performance characteristics associated with modern road vehicles.
- 03 have basic understanding of elements involved in geometric design of roads including the safety concerns that motivate vertical and horizontal curve design. Student should be able to begin a basic road design.
- 04 have very basic understanding of queuing theory and familiarity with deterministic and probabilistic assumptions made for analysis of arrivals and departures in traffic flow analysis.
- 05 be able to conduct level of service analysis and gain the background needed to use the Highway Capacity Manual (HCM) level of service software.
- 06 be familiar with the elements of signal timing, terminology, and basic signal timing theory.
- 07 have basic understanding of the various modeling approaches for determining and forecasting travel demand.
- 08 have basic understanding of the elements and modeling approaches used in evaluating highway projects, (energy use, noise, emissions, safety)
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Chapter one: Introduction |
| Week 2 | Chapter two: Road Vehicle Performance |
| Week 3 | Chapter three: Geometric Design of Highways (Vertical Alignment) |
| Week 4 | Chapter three: Geometric Design of Highways (Horizontal Alignment) |
| Week 5 | Chapter Four: Pavement Design (Part one) |
| Week 6 | Chapter Four: Pavement Design (Part two) |
| Week 7 | Chapter Five: Fundamentals of Traffic Flow |
| Week 8 | Chapter Five: Fundamentals of Queuing Theory |
| Week 9 | Chapter six: Highway Capacity and Level-of-Service Analysis |
| Week 10 | Chapter Seven: Traffic Control and Analysis at Signalized Intersections (part one) |
| Week 11 | Chapter Seven: Traffic Control and Analysis at Signalized Intersections (part two) |
| Week 12 | Chapter Eight: Transportation Planning (part one) |
| Week 13 | Chapter Eight: Transportation Planning (part two) |
| Week 14 | Chapter Eight: Transportation Planning (part three) |
| Week 15 | - |
Reference Books & Course Materials
- 01 Principles of Highway Engineering and Traffic Analysis
- 02 Fundamentals of Transportation Engineering
- 03 TRANSPORTATION ENGINEERING
- 04 PRINCIPLES OF TRANSPORTATION ENGINEERING
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- P01 Knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline.
- P02 Ability to apply knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline to the solution of complex engineering problems.
- P03 Ability to define complex engineering problems by using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) related to the problem addressed.
- P04 Ability to formulate complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
- P05 Ability to analyse and solve complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
- P06 Ability to design creative solutions to complex engineering problems.
- P07 Ability to design complex systems, processes, devices, or products in a way that meets present and future needs while considering realistic constraints and conditions.
- P08 Ability to select and use appropriate techniques and resources—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
- P09 Ability to select and use modern engineering and computational tools—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
- P10 Ability to conduct literature research and use appropriate research methods for the investigation of complex engineering problems.
- P11 Ability to design experiments for the investigation of complex engineering problems.
- P12 Ability to conduct experiments, collect data, analyse results, and interpret findings for the investigation of complex engineering problems.
- P13 Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the framework of the United Nations Sustainable Development Goals (SDGs).
- P14 Awareness of the legal implications of engineering solutions within the framework of the United Nations Sustainable Development Goals (SDGs).
- P15 Knowledge of ethical responsibility and adherence to the principles of professional engineering conduct.
- P16 Awareness of acting impartially without discrimination in any matter and of being inclusive of diversity.
- P17 Ability to work effectively as an individual.
- P18 Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remote, or hybrid).
- P19 Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote, or hybrid).
- P20 Ability to communicate effectively in spoken form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
- P21 Ability to communicate effectively in written form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
- P22 Knowledge of professional practices such as project management and economic feasibility analysis.
- P23 Awareness of entrepreneurship and innovation.
- P24 Ability for independent and lifelong learning.
- P25 Ability to adapt to new and emerging technologies.
- P26 Lifelong learning ability that includes the capacity to think critically about technological changes.
Po-Lo Matrix
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