LEARNING OUTCOMES
A student who has passed the course is able to
- Describe the main characteristics of traffic flow
- Represent traffic phenomena using different methods and tools
- Recognise how traffic congestion starts and propagate for different transport modes
- Select and apply appropriate methods and techniques for analysing traffic-related problems
- Interpret and elaborate different type of traffic data
- Follow scientific literature in traffic flow theory
Credits: 5
Schedule: 26.02.2024 - 11.04.2024
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Claudio Roncoli
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
The course content includes:
- Basic characteristics of traffic flow
- Tools for analysing traffic behaviour and characteristics
- Macroscopic and microscopic modelling of traffic flow
- Analysis of traffic operations for various facilities
Assessment Methods and Criteria
valid for whole curriculum period:
- Individual home assignments (55%)
- Group work (45%)
The course will be assessed with the scale 0-5. To pass the course (grade 1), a student has to achieve at least
- 45% in "Individual home assignments"
- 50% in "Individual home assignments" + "Group work"
Workload
valid for whole curriculum period:
- Contact sessions 34 h
- Individual home exercises 56 h
- Group-work 44 h
DETAILS
Study Material
valid for whole curriculum period:
Available learning material includes:
- In-class lectures and activities
- Individual home assignments
- Course material and scientific literature
- Simulation tools guides and manuals
- Video recordings on extra topics (optional)
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
3 Good Health and Well-being
8 Decent Work and Economic Growth
9 Industry, Innovation and Infrastructure
10 Reduced Inequality
11 Sustainable Cities and Communities
12 Responsible Production and Consumption
13 Climate Action
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Spring IV
2023-2024 Spring IVEnrollment :
Registration for courses will take place on Sisu (sisu.aalto.fi). The maximum number of students is 40. Students of the Master's programme in Spatial Planning and Transportation Engineering are prioritised.