Transport Systems Engineering

FIRST PART 1 systematic analysis of mobility introduction and scope land-use and transport structure of models for the simulation of mobility zoning the study area origin destination matrix and travel demand characteristics 2 transport supply formulation of the supply model representation of the road network through a graph performance and cost functions assignemnt with explicit path enumeration gis and database for transport planning 3 random utility theory discrete choice models utility and attributes multinomial logit nested logit cross nested logit probit mixed logit Monte Carlo simulation 4 domand modelling trip frequency model category index model generation through regression distribution and elementary destinations gravity model modal split aggregation problem time series 5 calibration and validation regression and least squares maximum likelihood stated preferences 6 route choice and network loading route choice models network loading with implicit path enuemeration shortest path algorithm all-or-nothing assignment Monte Carlo network loading Dial algorithm 7 equilibrium models and assignment algorithms fixed-point formulations method of successive averages SECOND PART optimization problem formulations variational inequality frank-wolfe algorithm bush-based algorithms multiclass, multimode and elastic demand equilibria assignment software 8 od matrix estimation direct estimation and cordon surveys provincialization model matrix riproportioning reconstruction based on traffic flows 9 freight transport multi-regional input output movement generation of pick-up and delivery distribution models for urban freights 10 transit assignment representation of the line network though a graph frequency-based assignment stop model strategy-based assignment and hyperpaths schedule-based assignment departure-time choice 11 dynamic assignment kinematic wave theory arc and node models dynamic shortest paths dynamic network loading dynamic equilibrium information to travelers 12 network design planning objectives and their evaluation system optimum and marginal pricing network design algorithms

Ennio Cascetta (2009) Transportation Systems Analysis Models and Applications. Springer, ISBN 978-0-387-75857-2 Lecture notes: https://sites.google.com/a/sistemaits.com/guidogentile/didattica

The course is articulated in around 10 chapters and 60 sub-chapters. Two or three questions are made on different parts of the course with general scope reflecting the sub-chapters of the program. For each questions, depending on the answer, the theme is deeply analyzed with more specific questions, or we try to verify that the candidate has acquired at least the minimum knowledge on the proposed theme. Occasionally, if this does not emerge from the colloquium, we check the ability to cast the theoretical notions into practical application examples.

https://sites.google.com/a/sistemaits.com/guidogentile/didattica