Descriptif
Traffic and Transportation systems in urban contexts
M. Benoit Vedel (DG Aimsun), M. Xavier Boulet ( chargé d'études Aimsun)
The level of traffic in cities has increased significantly over the last decades. Such level of trafic has a considerable impact on the quality of life for all citizens and economic growth.
Balancing the demand for increasing personal mobility and economic growth, with the need to respect the environment is a real challenge. The link between transportation networks and economics is manifold both at the macro and micro level. Value flows on the transport network are capitalized into land values, economic recessions stall the mobility of people and goods, higher-income households travel more frequently, and so on.
Objectifs pédagogiques
The objective of this course is to discuss those aspects and provide a set of tools and possible solutions for different urban settings.
Diplôme(s) concerné(s)
Parcours de rattachement
Objectifs de développement durable
ODD 7 Energie propre et d’un coût abordable, ODD 9 Industrie, Innovation et Infrastructure, ODD 11 Villes et communautés durables.Format des notes
Numérique sur 20Littérale/grade réduitPour les étudiants du diplôme MScT-Economics for Smart Cities and Climate Policy
Vos modalités d'acquisition :
contrôle continu + un court rapport
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 4 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Programme détaillé
The training program will provide skills on “Traffic & Transportation Systems in Urban Contexts “ on 8 sessions:
- Introduction – Aimsun & the City of Tomorrow
- Advanced Study – Aimsun, Mobility Modeling Tools
- Introduction to traffic modeling and Aimsun Next software
- Creating and modeling a road network and dynamic simulations
- Multimodality in traffic light plans
- Validation and calibration of the model (two sessions)
- Management of different scenarios
- Exploitation of the model results
- Trainers : Benoit Vedel (session 1) & a Senior Transport Modeler (sessions 2 to 8)
- Total duration : 8 sessions (3h) – 24 hours