AIMS AND CONTENT

LEARNING OUTCOMES

The course aims to provide students with a general understanding of the physical phenomena that govern traffic flows in transport systems, as well as the mathematical models used to represent these phenomena. This objective allows students to acquire both theoretical and practical knowledge to represent traffic dynamics in transport networks using appropriate models (macroscopic, mesoscopic, microscopic, queue-based). More generally, the course aims to develop competencies in the planning and management of the mobility of people and goods through knowledge of the fundamental elements of transport and logistics systems.

AIMS AND LEARNING OUTCOMES

By the end of the course, the student will have acquired a set of skills enabling them to understand vehicular traffic dynamics through the selection and application of the traffic model or models most appropriate to the specific case under consideration. The knowledge of these theories and models may also be applied to solve basic problems related to the analysis and design of interventions within a transportation system (particularly with regard to road infrastructure). Moreover, the student will also gain some knowledge that will enhance their ability to understand the simulation tools taught within the Master’s degree program in Safe Transport and Logistics Engineering.

TEACHING METHODS

The course lessons are held in a classroom. During the lessons, the professor shows and explains slides covering the various topics of the course and, in some cases, makes use of the (traditional or virtual) blackboard to explain in detail some specific contents. The slides are made available to students on Aulaweb prior to each lesson.

SYLLABUS/CONTENT

• Traffic flow characteristics and fundamental diagrams
• Capacity analysis and level-of-service
• Queuing models and analysis
• Macroscopic traffic models
• Microscopic traffic models

RECOMMENDED READING/BIBLIOGRAPHY

The main bibliographic reference is the following book:

• Ennio Cascetta, “TRANSPORTATION SYSTEMS ANALYSIS - Models and Applications (Second Edition)”, Springer Optimization and Its Applications series, vol. 29, Springer, 2009.

Additional materials will be indicated during the lessons.

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

https://corsi.unige.it/en/corsi/11920/studenti-orario

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

The exam consists of an oral test.

ASSESSMENT METHODS

The student's assessment is carried out through an oral test during which the student is asked to present and explain the theoretical topics covered in the course (either on the blackboard or on paper) and to solve some practical examples or exercises. The student is expected to demonstrate an adequate level of understanding and knowledge of the material presented during lessons, as well as the ability to solve basic traffic analysis problems using the models introduced in the course.

FURTHER INFORMATION

Registration for the exam is mandatory and must be completed via the online services at least 5 days before the exam date.