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                   Intelligent Transport and Traffic Management study module
                                                   Traffic measurements 3 ECTS

       

                                

    Learning Outcomes:

    During the module, students can familiarize them with the basics of traffic measurements and their technology. The aim is to create a comprehensive picture of different technologies, focusing on the overall picture in terms of technology, making information applicable to different parties internationally. The idea behind this is transport and mobility, supporting the objectives of wise mobility and road safety. In the end of the module students learn general work skills, giving feedback and evaluation each other during their execution.

    Student:

    1. knows the principles of the traffic measurements;

    2. understands the sources of counting (sensors, video analytic, open data)

    3. knowing the most common hardware and technology

    4. understanding the traffic counting process (planning, installation)

    5. knows how to visualize data and which role visualization have

    6. understanding the role of data (safety, congestion, authorities, decision making)

    7. understanding the overall (integration of data from different sources)

    8. give new experiences and improves skills to give feedback.

    Lecturer: 

    Mikael Saarinen (mikael.saarinen@hamk.fi), HAMK

    • Teated õppijatele / News Forum
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      Tamamladım

      Welcome to study!

      How traffic can be measured? Who makes those measurements? What kind of devices they use?

      Digitalization have changed the field of traffic, and with powerful networks and advanced solutions traffic can be measured in totally new ways. In this module you have opportunity to learn about traffic measurements and its data; how we can measure with this days technology and what kind of visualizations are possible. We consider different technologies and think how different authorities benefits the solution. Module gives exampled and different cases where those technologies have been used. At the end of units there are questionnaires and/or assignments.

      You can schedule your own studies and it is possible to work and perform assignments 24/7. The whole studies are based in e-learning and BYOD- environment. The idea of the evaluation of the assignments are peer reviewing.

      You have 8 learning weeks and you earn 3 credit points from this modules studies.

      Here are time Timeline (not necessary to follow and please notice that there is more work during weeks 4-7):

      Week 1: Introduction
      Study first the materials and external links. At the end you have two questionnaires, answer those after you read materials

      Week 2: Sensor Technology
      First you have three sets of materials and some external links. Study those first. After that do assessment based on the topic and do also peer-review.

      Week 3: Machine Vision
      Study first the materials and external links. At the end you have questionnaire, answer that after you read materials

      Week 4: Drones and Video Analytic
      First you have two sets of materials. Study those first. After that do assessment based on the topic and do also peer-review.

      Week 5: Route Condition
      Study first the materials. At the end you have two questionnaires, answer those after you read materials

      Week 6: Open data
      Study first the materials. After that do assessment based on the topic and do also peer-review.

      Week 7: Open data
      Study first the materials. After that do comprehensive study based on the topic and do also peer-review. This task will take more time than previous assessments!

      Week 8: Summary and self-assessment 

      Collect a summary based on what you have learned during the studies an do self-assessment

      Materials produced by student are saved in Moodle for a year and removed after that.

      Note! Some slides may contain video materials from YouTube, which have not subtitles included.

      Some tips for your studies:

      • Focus and take time to your studies
      • Work and read the materials carefully
      • Ask, if you don´t know or understand something
      • In the end do self assessment and give feedback

      The module is assessed as passed /failed (vai approved / rejected).

      You can follow your performance via Moodle´s Monitoring process -tool and mark the assignments done by yourself.

      From every topic, first there are materials from H5P slideshows. Study those first. Next there might be some external materials from different sources.

      At the end of the topic you have questionnaires from the slides, and/or test and assignment.