Topic outline

  • General

    Status of the Course 

    Master's programme in Spatial Planning and Transportation Engineering, advanced studies (optional)

     
    Level of the Course 

    Master's level, doctoral level

     
    Teaching Period 

    IV (spring term)

     
    Workload 

    Lectures 30 h
    Exercises 20 h
    Other work 6 h
    Independent work 77 h
    All together 133 h = 5 cr

     
    Learning Outcomes 

    After the course, the student should be able to:
    - Plan the use of road signs
    - Plan the timing of traffic signals
    - Understand of the multi-level/multi-objective nature of the traffic control and mobility management
    - Understand the need of intelligent systems in order to achieve the objectives related to safety, fluency, environmental effects, energy, economy, level of service
    - Choose the best technologies and services against the given requirements and to evaluate the benefits
    - Construct a vision of what is required from the future transport system to solve the major challenges

     
    Content 

    Mobility management, traffic control, intelligent transportation system (ITS).
    Traditional traffic control with signs and traffic signals.
    The use of censor- , communication, data processing technologies in real-time systems and services.
    The use of mobile devices and applications in transport and mobility.
    Traffic information and control systems, road charging, incident management, automated law enforcement, route guidance, multi-modal door-to-door guidance, Mobility as a Servive
    (MaaS).
    Intelligent road, intelligent vehicle, driving support systems, self-driving cars.
    Sustainable energy solutions, electric mobility.

     
    Assessment Methods and Criteria 

    Lectures, exercise works, final exam

     
    Study Material 

    Slides of the lectures, Textbook, additional material

     
    Grading Scale 

    0-5

     
    Language of Instruction 

    English