- Docente: Joerg Schweizer
- Credits: 6
- SSD: CEAR-03/B
- Language: English
- Teaching Mode: In-person learning (entirely or partially)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Civil Engineering (cod. 6708)
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from Sep 16, 2026 to Dec 02, 2026
Learning outcomes
The course of Transport Systems Design and Planning aims to provide students with the basic tools for simulation and functional design of transport systems, by modeling transport demand and supply and their interactions. Acquisition of specific knowledge is expected in order to address the typical problems in the perspective of transportation systems engineering, by providing deep knowledge in transport system modeling and simulation on the macro-, meso-, and microscopic level, supported by case studies and software tools.
Course contents
- Introduction (Analyzing the transport systems and its impacts on the environment, characteristics of macroscopi, mesoscopic, microscopic and nanoscopic models, transport system design and evaluation process)
- Supply modes (modelling vehicle types, trajectories, microscopic car follower models, stochastic flows, queue models).
- Demand models (trips, routes, demand flows, synthetic population, activity-based and agent-based models)
- Assignment models (macroscopic, mesoscopic and microscopic models, stochastic assignments, dynamic and stochastic user equilibrium, special assignment methods).
- Particular microscopic models (Scheduled public transport, taxis and other on-demand services, autonomous cars, platooning, personal rapid transit)
Readings/Bibliography
E. Cascetta. Transportation systems engineering: theory and methods. Kluwer Academic Publisher, Boston/Dordrecht/London, 2001. (Italian version available).
For the lecture and exercises the microsimulation environment hybridPY will be used. A bries description can be found here:
https://github.com/eclipse-sumo/sumo/blob/main/docs/web/docs/Contributed/hybridPY/index.md
Teaching methods
Class room lectures and exercise, simulations with computer.
Lecture notes.
Assessment methods
2h written exam, home-work (simulations- and programming exercises) count up to 6/30 points.
Teaching tools
Computer required for simulation exercises
Microsimulation software:
https://github.com/eclipse-sumo/sumo/blob/main/docs/web/docs/Contributed/hybridPY/index.md
(software provided and installed during the course)
Office hours
See the website of Joerg Schweizer
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.