CODE 90446 ACADEMIC YEAR 2023/2024 CREDITS 6 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 1° Semester MODULES Questo insegnamento è un modulo di: TRANSPORT SYSTEMS ENGINEERING TEACHING MATERIALS AULAWEB AIMS AND CONTENT LEARNING OUTCOMES The goal of the course is providing the basic analytical tools for the study of transport systems, including: supply models of transport infrastructures and services, probability theory and random choice, behavioural and non-behavioural demand models, and assignment models and algorithms both with optimization and fixed-point approaches. All the topics will be faced from the point of view of theory and applications. 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. 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: behavioral models: users’ characteristics, random utility, and random choice models for the destination, mode, and path dimensions non-behavioral models: gravity model Transportation systems supply and demand interactions: Wardrop's principles and equilibrium assignment model and algorithms for deterministic and stochastic assignment 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) Transportation Supply Models, Cost Functions, Traffic Lights, ... Highway Capacity Manual, Transportation Research Board (TRB), 2010 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) MUHAMMAD TABISH BILAL ALICE CONSILVIO ANGELA DI FEBBRARO FEDERICO GALLO DAVIDE GIGLIO (President Substitute) LESSONS LESSONS START All class schedules are posted on the EasyAcademy portal. Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Oral exam in presence. 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 oral 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 11/01/2024 10:00 GENOVA Orale 24/01/2024 10:00 GENOVA Orale 15/02/2024 10:00 GENOVA Orale 26/03/2024 10:00 GENOVA Orale 07/06/2024 10:00 GENOVA Orale 25/06/2024 10:00 GENOVA Orale 10/07/2024 10:00 GENOVA Orale 02/09/2024 10:00 GENOVA Orale 16/09/2024 10:00 GENOVA Orale Agenda 2030 - Sustainable Development Goals Industry, innovation and infrastructure Reduce inequality Sustainable cities and communities