Topic outline

  • Dear student of the traffic management course

    Unfortunately, we cannot arrange classroom teaching at all this year. Lectures will be arranged remotely using Zoom and pre-recorded video lectures.

    The group project on intelligent transport systems will be arranged remotely supervised by Jouni Ojala.

    The exam will arranged remotely in Mycourses. Please follow the instructions later.


    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 

    V (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 sensor- , 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 Service (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


  • Tentative schedule (To be complemented)

    Minor updates are possible, please follow the posts in Mycourses.
    Events on Mondays, Tuesdays and Wednesdays.
    Lectures will be held on-line by using Zoom at https://aalto.zoom.us/j/62133793914?pwd=ODEwZnpTUHN6OVQvSHBVYXMwV29Edz09

    1.      M   19.04.2021    12-15  Intoduction to traffic management

    2.      T     20.04.2021    09-12  Traffic safety and infrastructure

    3.      W   21.04.2021    12-14  Sensors, data and services

    4.      M   26.04.2021    12-15  Traffic signal control

    5.      T     27.04.2021    09-12  Launch of the group project on ITS

    6.      W   28.04.2021    12-14  Rail traffic management  (visiting lecturer Antero Alku)

    7.      M   03.05.2021   12-15  Guidance to group project on ITS

    8.      T     04.05.2021    09-12  Intelligent logistics  (visiting lecturer Karri Rantasila)

    9.      W   05.05.2021    12-14  Simulation session 1 (traffic signal control)

    10.   M   10.05.2021    12-15  Spare slot

    11.   T     11.05.2021    09-12  Traffic Management on major arterials (prof. Claudio Roncoli)

    12.   W   12.05.2021    12-14  Simulation session 2 (other control measures)

    13.   M   17.05.2021    12-15  Mobility management and the new mobility services (visiting lecturer Ian Sacs)                                                               

    14.   T     18.05.2021    09-12  Vehicle Automation (prof. Claudio Roncoli)

    15.   W   19.05.2020   12-14  Presentation of group project on ITS

    16.   M   24.05.2021    12-15  Spare slot

    17.   T     25.05.2021    09-12  Simulation session 3 (optional)               

    18.   T     01.06.2021    09-12  Course exam


  • Kurssipalautejärjestelmä

    Aalto-yliopistossa kurssipalautetta annetaan nykyisin kunkin kurssin päätteeksi sähköisesti Webropol-lomakkeella. Kurssipalaute on anonyymi palautteenantoväylä ja se on käytössä kaikilla kursseilla. Kun kysely julkaistaan, opiskelija saa sähköpostiinsa linkin, jota seuraamalla hän pääsee vastaamaan. Opiskelijoilla on kaksi viikkoa aikaa vastata kyselyyn. Kolme päivää ennen kyselyn sulkeutumista järjestelmä lähettää muistutusviestin niille opiskelijoille, jotka eivät ole vielä antaneet palautetta.

    Käsiteltyään ja analysoituaan palautteen opettaja antaa opiskelijoille vastapalautetta esim. kurssin MyCourses kotisivulla. Palaute otetaan huomioon kurssia kehitettäessä. Lopuksi laitos tai koulutusohjelma kokoaa kurssien palautteet koulutusohjelman sisällön ja rakenteen kehittämisen pohjaksi.

    Varsinaisen kurssipalautteen lisäksi opiskelijapalautetta on mahdollista antaa myös jo ennen kurssia tai sen aikana, joko suullisesti tai kirjallisesti esim. sähköpostitse kurssin opettajille. Kun palautetta saadaan jo kurssin aikana, opettajilla on mahdollisuus tehdä tarvittavia muutoksia jo käynnissä olevan kurssin kuluessa.