Increasing levels of traffic congestion, innovative transportation services and new regulations, increasing complexity in the logistic chains, introduction of Information and Communication Technologies (ICT) in our day life, necessitate the application of advanced modelling and simulation tools. Applications include long range planning, design and operations. The tools used by transportation researchers and professionals for demand analysis and network assignment have been extended to include more realistic behavioural representations and dynamic settings. The course is intended to present these advances in the modelling and simulation tools of:
• Traffic assignment
• Transit systems
• Freight systems
The course studies theories, examples derived from real World, and cutting edge applications of transportation network demand and supply models and simulation techniques. It provides an in-depth study of the world’s most sophisticated traffic simulation models, demand modeling methods, and related analytical techniques, including discrete choice models, Land-Use Transport Interactions models and their application to travel choices; origin-destination estimation; prediction of traffic congestion; traffic flow models and simulation methods (microscopic, mesoscopic and macroscopic); and models for freight demand forecasting and for designing city logistics measures.
• Fundamentals: Core concepts, understandings and tools (30%)
• Latest Developments: Recent advances and future trends (30%)
• Industry Applications: Linking theory and real-world (40%)
• Lecture: Delivery of material in a lecture format (80%)
• Labs: Demonstrations, experiments, simulations (20%)
• Introductory: Appropriate for a general audience (30%)
• Specialized: Assumes experience in practice area or field (50%)
• Advanced: In-depth explorations at the graduate level (20%)
1. Understand transportation network demand and supply models.
2. Distinguish among alternative approaches to (passenger and freight) transport system simulation.
3. Assess the advantages and disadvantages of alternative transport system modelling and simulation methods.
Who should attend?
The course is designed for professionals public planning agencies, passengers service providers ( air , rail , etc) , logistic specialists , traffic controllers and highways operators, as well as for PhD and post-doc students from academia, interested in planning, design and management of transportation networks. Knowledge of basic transportation analysis tools and mathematical modelling methods is required.
The directors of the course are professors Moshe Ben-Akiva (Massachusetts Institute of Technology), Ennio Cascetta (“Federico II” University of Naples) and Agostino Nuzzolo (“Tor Vergata” University of Rome). All of the instructors have extensive experience in diverse applications of networks models and simulation in both the public and private sectors. All have taught transportation analysis methods at the graduate level and have developed many of the techniques covered in the course.
The course will be held in Sorrento, along the beautiful coast of the gulf of Naples (Italy).
Tentative course schedule
Supply and traffic performances I: static and dynamic networks
Supply and traffic performances II: macroscopic models
Supply and traffic performances III: flow-based (meso-scopic) models
Supply and traffic performances IV: microscopic and simulation methods
Demand models I: overview of discrete choice analysis
Demand models II: path and departure time choice
Demand models III: activity based models
Demand models IV: land-use/transport Interaction models
Traffic assignment I: framework for demand/supply performances interactions
Traffic assignment II: equilibrium and day-to-day dynamic models
Traffic assignment III: OD estimation
Traffic assignment IV: models for real-time prediction
Transit systems I: general framework and models for low frequency services
Transit systems II: general framework and models for high frequency services
Pricing and Revenue forecasting I: theory and models
Pricing and Revenue forecasting II: case studies
Freight models I: economic activity
Freight models II: logistic chain and mode choice
Freight models III: city logistics
Tuition and fellowships
Early Registration (before April 27, 2012): 2500 Euros
Late Registration (after April 27, 2012): 3000 Euros
In addition to the participation to the lectures and the laboratories, the tuition includes
• a CD with the handouts of the lectures and reading materials
• coffee breaks,
• a welcome cocktail to be offered on Monday afternoon,
A certificate will be awarded at the end of the course.
A full-tuition fellowship will be awarded to an outstanding doctoral student. Applications must contain a complete resume and a statement of the relevance of the course for the applicant’s research. Partial (50%) tuition scholarships are also available. Send your application by Email to email@example.com before April 27, 2012.
If a fellowship is not approved, registration may be cancelled at no cost.
April 27, 2012: deadline for fellowships applications
May 18, 2012: deadline for late registration
May 28- June 1, 2012: course
For further information please contact:
Pierluigi Coppola – Department of Enterprise Engineering – “Tor Vergata” University of Rome
Via del Politecnico 1- 00133 Roma – Tel +39 06 72597059 Fax +39 06 72597005