Transport Planning is a course related to the Transport Engineering sector, in the Master's Degree of Road Infrastructures and Transport. The main objective of this degree is to train a highly qualified civil engineer able to operate in the sectors of road infrastructures and transport systems.
The Transport Planning course aims to provide students with the most advanced knowledge of mathematical models for the representation of transport demand and supply, as well as their related interactions (assignment models), with regard to continuous transport systems (road networks). The course offers a unified framework of these models in order to implement them into a simulation tool for the design and evaluation of transport projects.
Students will acquire highly professional and specialized skills on transport planning issues in terms of 1) representation of road networks; 2) representation of the travel demand, both according to a descriptive aggregate approach, as well as a behavioral disaggregated approach; 3) simulation of route choices; 4) identification of flow and speed conditions on links.
At the end of the course the students will be able to 1) define the level of representation to be used and the consequent modeling approach according to the project to be realized; 2) calibrate cost functions for the representation of the transport supply; 3) calibrate behavioral disaggregated demand models; 4) evaluate by simulation the effects of a project on a road network.
The Transport Planning course aims to provide students with the most advanced knowledge of mathematical models for the representation of transport demand and supply, as well as their related interactions (assignment models), with regard to continuous transport systems (road networks). The course offers a unified framework of these models in order to implement them into a simulation tool for the design and evaluation of transport projects.
Students will acquire highly professional and specialized skills on transport planning issues in terms of 1) representation of road networks; 2) representation of the travel demand, both according to a descriptive aggregate approach, as well as a behavioral disaggregated approach; 3) simulation of route choices; 4) identification of flow and speed conditions on links.
At the end of the course the students will be able to 1) define the level of representation to be used and the consequent modeling approach according to the project to be realized; 2) calibrate cost functions for the representation of the transport supply; 3) calibrate behavioral disaggregated demand models; 4) evaluate by simulation the effects of a project on a road network.
Curriculum
teacher profile teaching materials
Travel Demand. Behavioural models based on random utility theory: Multinomial Logit, Nested Logit, Cross-Nested Logit, Probit.
Systematic utility formulation. Additive property. Logsum property. Calibration of behavioural models (Biogeme software). Aggregation.
Four steps models: emission, distribution, modal shift, route choice.
Assignment models. Travel demand estimation based on traffic counts. Within-day dynamic models.
Programme
Transport System Definition. Modelling approach to transport systems. Supply system. Supply system modelling.Travel Demand. Behavioural models based on random utility theory: Multinomial Logit, Nested Logit, Cross-Nested Logit, Probit.
Systematic utility formulation. Additive property. Logsum property. Calibration of behavioural models (Biogeme software). Aggregation.
Four steps models: emission, distribution, modal shift, route choice.
Assignment models. Travel demand estimation based on traffic counts. Within-day dynamic models.
Core Documentation
“Transportation Systems Analysis. Models and Applications” (E. Cascetta, Springer, 2009)Type of evaluation
There are two ongoing evaluations. The written test focuses on exercises. The oral exam evaluates the theoretical knowledge. teacher profile teaching materials
Travel Demand. Behavioural models based on random utility theory: Multinomial Logit, Nested Logit, Cross-Nested Logit, Probit.
Systematic utility formulation. Additive property. Logsum property. Calibration of behavioural models (Biogeme software). Aggregation.
Four steps models: emission, distribution, modal shift, route choice.
Assignment models. Travel demand estimation based on traffic counts. Within-day dynamic models.
Programme
Transport System Definition. Modelling approach to transport systems. Supply system. Supply system modelling.Travel Demand. Behavioural models based on random utility theory: Multinomial Logit, Nested Logit, Cross-Nested Logit, Probit.
Systematic utility formulation. Additive property. Logsum property. Calibration of behavioural models (Biogeme software). Aggregation.
Four steps models: emission, distribution, modal shift, route choice.
Assignment models. Travel demand estimation based on traffic counts. Within-day dynamic models.
Core Documentation
“Transportation Systems Analysis. Models and Applications” (E. Cascetta, Springer, 2009)Type of evaluation
There are two ongoing evaluations. The written test focuses on exercises. The oral exam evaluates the theoretical knowledge.