Code: | EC0089 | Acronym: | CTRA1 |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Transport Infrastructures |
Active? | Yes |
Responsible unit: | Transport Infrastructures Division |
Course/CS Responsible: | Master in Civil Engineering |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
MIEC | 7 | Syllabus since 2006/2007 | 5 | - | 5 | 52,5 | 133 |
This course aims to acquaint students with concepts, methods and techniques of traffic engineering, as well as teach them how to solve traffic problems.
At the end of the semester, students should:
a) be capable of working in a team in various contexts.
b) be capable of communicating their conclusions unambiguously
Traffic Engineering - objectives and evolution. Characterization of traffic stream. Microscopic and macroscopic variables. Relation between variables. Macroscopic models. Queuing models traffic. Hydrodynamic models (models of shock waves). Methods, techniques and instruments of data collection. Importance of geometric characteristics and traffic – levels of service and capacity on highways, freeways and interchanges or intersections (priority, signalized and roundabouts).
DEMONSTRATION OF THE SYLLABUS COHERENCE WITH THE CURRICULAR UNIT'S OBJECTIVES:
This syllabus of this curricular unit is close to what normally is in the field of Traffic Engineering. This is a relatively new science that was born to ensure that the movement of people and goods are made in the best possible conditions. Being the movement of people and goods essential to the development of societies is important to use methods and techniques with appropriate scientific accuracy, so that technicians can find the best solutions.
Theoretical classes: oral explanation of the themes of the course. Practical classes: problem solving.
DEMONSTRATION OF THE COHERENCE BETWEEN THE TEACHING METHODOLOGIES AND THE LEARNING OUTCOMES:
Apply and develop methodologies and techniques adjusted to the cases to analyze. Analyze solutions using selected performance indicators. Comparatively evaluate various options. Prepare summary reports of the proposed solutions. Criticizing the methodologies and concepts used and recommend future adjustments. Devise effective solutions to real problems. Contact statistical information sector bodies.
Designation | Weight (%) |
---|---|
Exame | 75,00 |
Trabalho escrito | 25,00 |
Total: | 100,00 |
Achieving final classification requires compliance with attendance at the course unit, according to the MIEC assessment rules. It is considered that students meet the attendance requirements if, having been regularly enrolled, the number of absences of 25% for each of the classes’ types is not exceeded.
CF = Máx {0,75*EX + 0,25*TI; EX}
Where:
CF – Final classification;
EX – Classification of the final exam;
TI – Classification of the individual work.
Estimated working time out of classes: 3 hours