CODE 90446 ACADEMIC YEAR 2024/2025 CREDITS 9 cfu anno 1 SAFETY ENGINEERING FOR TRANSPORT, LOGISTICS AND PRODUCTION 10377 (LM-26) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ICAR/05 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER Annual TEACHING MATERIALS AULAWEB OVERVIEW Transport systems are the set of components and their interactions that determine the demand for mobility of people and goods between different points in the territory and the supply of transport services to satisfy it. In this framework, Transport Systems Planning (in short TSP) is the engineering discipline that provides the methodologies to model, analyze, and design transport systems with a holistic approach and by means of appropriate mathematical and modelling tools. The problems faced by TSP range from the mathematical formalization and implementation of models for understanding users' mobility choices to the design of performing solutions. AIMS AND CONTENT LEARNING OUTCOMES The aim of the course consists of providing the tools and the capabilities for studying transport systems across different geographic and temporal scales. Specifically, the first part of the course focuses on the analysis phase and provides the student with the skills to define models of transport infrastructures and services, articulate models of the mobility demand, and state and solve basic assignment problems. The second part of the course focuses on the advanced problems pertaining the design phase and provides the student with the skills to collect and use field data for customizing, calibrating, and enhancing supply and demand models, In addition, students will gain the capability to solve advanced assignment problems and define and compare different design alternatives both in terms of performances and costs. AIMS AND LEARNING OUTCOMES After the course, the student shall know and shall be able to apply the basic techniques for representing and analyzing transport systems, as well as providing their functional design and the evalaution of the costs and benefits PREREQUISITES Basic calculus TEACHING METHODS Lectures consist of class activities, with theory and exercises. SYLLABUS/CONTENT The course is divided into four main chapters: Introduction to transportation systems and their relation with the surrounding environment Transportation systems supply modelling: link models, costs and congestion network and services models, shortest path problem Basics on probability theory Transportation systems demand modelling: Origin/Destination (O/D) structure and model-based calculation Parametric (non-behavioural) models Behavioral models: users’ characteristics, random utility, and random choice models for the destination, mode, and path dimensions Transportation systems supply and demand interactions: Wardrop's principles and equilibrium assignment Model and algorithms for deterministic and stochastic assignment Data-based demand estimation Demand direct estimation (survey) and reliability assessment Identification demand model parameters and basic user's behaviour ecomoetric analysis Origin/Destination (O/D) matrix update and calibration Functional transport systems design Cost/Benefit analysis and design alternatives comparison RECOMMENDED READING/BIBLIOGRAPHY Transport Systems Analysis (Basic reference): E. Cascetta, 2009, Transportation Systems Analysis 2nd ed., Springer (English) E. Cascetta, 2002, Modelli per i Sistemi di Trasporto: Teoria ed Applicazioni, UTET, 2006 (Italian) Insights: Probability S. M. Ross, Introduction to Probability and statistics for engineers and scientists, Elsevier, 2004 (English) S. M. Ross, Probabilità e Statistica per Ingegneria e le Scienze, APOGEO, 2008 (Italian) Graph Theory and Optimization F. S. Hillier, Introduction to Operation Research, McGraw-Hill Education, 2016 (English) S. Martello, Ricerca Operativa, ESCULAPIO, 2015 (Italian) Manuals Highway Capacity Manual, Transportation Research Board (TRB), 6th ed., 2016 TEACHERS AND EXAM BOARD NICOLA SACCO Ricevimento: Office hours: To fix an appointment send an email to nicola.sacco@unige.it Exam Board NICOLA SACCO (President) ANGELA DI FEBBRARO DAVIDE GIGLIO (President Substitute) ALICE CONSILVIO (Substitute) FEDERICO GALLO (Substitute) LESSONS LESSONS START https://corsi.unige.it/en/corsi/10377/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Written and oral exam The first question is always a numerical exercise which must be sufficient to proceed with the theoretical questions. During the course, some homework will be assigned. If all the homework will be completed and sufficient, the oral exam will consist only of questions on theory. Students with learning disorders ("Disturbi Specifici di Apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities. ASSESSMENT METHODS Within the examination, the student's knowledge of the course topics and his/her capability to discuss how to formalize and solve simple transport problems are assessed. Exam schedule Data appello Orario Luogo Degree type Note 09/01/2025 09:00 GENOVA Scritto 09/01/2025 10:00 GENOVA Compitino 22/01/2025 09:00 GENOVA Scritto 22/01/2025 10:00 GENOVA Compitino 13/02/2025 09:00 GENOVA Scritto 13/02/2025 10:00 GENOVA Compitino 24/03/2025 09:00 GENOVA Scritto 24/03/2025 10:00 GENOVA Compitino 06/06/2025 09:00 GENOVA Scritto 26/06/2025 09:00 GENOVA Scritto 14/07/2025 09:00 GENOVA Scritto 04/09/2025 09:00 GENOVA Scritto Agenda 2030 - Sustainable Development Goals Industry, innovation and infrastructure Sustainable cities and communities Climate action