MTS 2015 - 2015 Summer School on Mobility-Management, Traffic-Safety and Simulations

The Summer School will feature a series of lecturers by renowned researchers in the following topics:
Mobility modeling: basic principles and tools.
Behavior modeling, activity based models (activity selection, planning, daily schedule generation)
Multi-modal trips
Modeling cooperation, cooperative scheduling (e.g. carpooling)
Ontologies
Traffic and transportation related models, travel demand prediction models
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.
Delimiting the domain of applicability: where can agent based modeling be useful?
Models for cooperation, mutual influence, negotiation
Computability issues, scalability
Ontologies
How to interpret results? What can be expected?
Big data as source for modeling.
Big data repositories
Annotation, semantic enrichment of big data
Data mining and process mining to extract information from big data
Crowd sourcing and publicly available data: pitfalss and challenges
Using data from different sources: how to align?
Road Safety
Effectiveness evaluation studies & risk modelling
Conflict observation research
Driving simulation to study the effect of infrastructural measures on driving behavior
Driving simulation to understand underlying mechanisms of dangerous or distracted driving
Driving simulation to assess and train driving behavior
Transport applications
Electric vehicles (including smart grid concepts)
Carpooling (cooperation on trip traveling)
Multi-modality and car-sharing (cooperation on resource usage)
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
Effect of EV characteristics (range anxiety, charging time, limited range) on household travel behavior