- Docente: Federico Rupi
- Credits: 6
- SSD: ICAR/05
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Civil Engineering (cod. 0930)
Learning outcomes
The course of Transport Planning M has the objective of providing the principal scientific fundamentals for the simulation of transportation systems: in particular, the course provides the fundamental tools for the quantitative evaluation of impacts perceived by the users in relation to alternative projects of transportation system.
Course contents
Introduction
Transportation systems engineering and planning process. levels, objectives and analysis tools in transport planning. Structure of the models for the simulation of transportation systems.
Modelling transportation system
Study area. zoning; location of zone centroids. Zoning rules. Internal and external centroids: zoning practical examples. Assumption of intra-period and inter-period stationarity.
Transportation supply
Transportation supply models. Review of graph and network models. Graph construction and functional classification of urban streets. Graphs for a road intersection. Road network representation: link flow and link cost function. Path flow vector and path cost vector. Separable and non-separable cost functions. Capacity constraints in road transport networks: practical examples.
Environmental capacity constraints in urban transport networks: air pollution modelling
Passenger travel demand
Review of random utility models (multinomial Logit models). The single-level hierarchical Logit model. System of demand models (destination and mode choice). Path choice models.
Traffic assignment to road transportation networks
Classification factors of assignment models. Path choice behaviour. Wardrop principles. Rigid demand user equilibrium assignment models. System optimal assignment models. Braess' paradox. Traffic assignment to road transportation networks: stochastic user equilibrium models; relationship between stochastic and deterministic equilibrium flows.
Algorithms for traffic assignment to road transportation networks
Calculation of rigid demand deterministic user equilibrium link flows with separable cost functions: Frank-Wolfe algorithm. Calculation of rigid demand deterministic user equilibrium link flows with non-separable cost functions: diagonalization algorithm. Practical examples.
Estimation of O-D demand flows using traffic counts
The assignment matrix. Update of the origin-destination matrix using traffic counts. Calculation of the assignment matrix.
Methods for the comparison of alternative projects.
Methods for choosing among alternative transportation projects: Multi-criteria analysis. Compensatory and non- compensatory methods: the Electre I method; the analytic hierarchy process. Practical examples.
Readings/Bibliography
E. Cascetta, Transportation System Analysis: Models and Applications, Springer, New York, (2009)
Juan de Dios Ortuzar, Luis G. Willumsen, Modelling Transport, 4th Edition, Wiley, 2011
Teaching methods
The course will include lectures and exercises.
Assessment methods
Oral exam
Office hours
See the website of Federico Rupi