[ecoop-info] 'Mobility-Management, Traffic-Safety and Simulations (MTS) 2015 - Summer School - DEADLINE APPROACHING

Ansar YASAR ansar.yasar at uhasselt.be
Mon May 4 23:10:31 CEST 2015


The Transportation Research Institute (IMOB)
<http://www.uhasselt.be/IMOB-EN> of Hasselt University
<http://www.uhasselt.be/en> organizes the second Summer School on
*'Mobility-Management,
Traffic-Safety and Simulations (MTS) 2015'*. This Summer School will take
place at:

Hasselt University, Campus Diepenbeek | Agoralaan Building D | 3590
Diepenbeek <http://www.uhasselt.be/contact_and_map>
from Monday July 13th till Thursday July 16th

At MTS-2015 we have added a specially focused *Industrial Showcase *in
partnership with our Industrial partner - ABEONA bvba. For details please
see section "Industrial Showcase" below.

   - Lecture topics
   <http://www.uhasselt.be/UH/imob/imob-Summer-School-2015/imob-Summer-School-2015-About-MTS-Summer-School-2015.html#tabs1>
   - Industrial showcase
   <http://www.uhasselt.be/UH/imob/imob-Summer-School-2015/imob-Summer-School-2015-About-MTS-Summer-School-2015.html#tabs2>
   - Target audience
   <http://www.uhasselt.be/UH/imob/imob-Summer-School-2015/imob-Summer-School-2015-About-MTS-Summer-School-2015.html#tabs3>
   - Participant certificates
   <http://www.uhasselt.be/UH/imob/imob-Summer-School-2015/imob-Summer-School-2015-About-MTS-Summer-School-2015.html#tabs4>

The Summer School will feature a series of lecturers by renowned
researchers in the following topics:


Mobility modeling: basic principles and tools.

   1. Behavior modeling, activity based models (activity selection,
   planning, daily schedule generation)
   2. Multi-modal trips
   3. Modeling cooperation, cooperative scheduling (e.g. carpooling)
   4. Ontologies
   5. Traffic and transportation related models, travel demand prediction
   models
   6. Simulations in practice: what conclusions can be drawn?


Special focus: Agent based modeling and simulation for mobility, travel
behavior, mobility market, electro-mobility (including smart grid, etc.)
and freight transport modeling.

   1. Delimiting the domain of applicability: where can agent based
   modeling be useful?
   2. Models for cooperation, mutual influence, negotiation
   3. Computability issues, scalability
   4. Ontologies
   5. How to interpret results? What can be expected?


Big data as source for modeling.

   1. Big data repositories
   2. Annotation, semantic enrichment of big data
   3. Data mining and process mining to extract information from big data
   4. Crowd sourcing and publicly available data: pitfalls and challenges
   5. Using data from different sources: how to align?


Road Safety

   1. Effectiveness evaluation studies & risk modelling
   2. Conflict observation research
   3. Driving simulation to study the effect of infrastructural measures on
   driving behavior
   4. Driving simulation to understand underlying mechanisms of dangerous
   or distracted driving
   5. Driving simulation to assess and train driving behavior


Transport applications

   1. Electric vehicles (including smart grid concepts)
   2. Carpooling (cooperation on trip traveling)
   3. Multi-modality and car-sharing (cooperation on resource usage)
   4. Markets based on big data related to traffic
      - Business models for EV, multi-modal trips, car-sharing, carpooling
      - Online support systems (ride sharing advisors)
      - Traffic load prediction systems
   5. Effect of EV characteristics (range anxiety, charging time, limited
   range) on household travel behavior


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