Modelação de Sistemas de Transportes

Objectives

Transport behaviour is fundamental in the process of modelling transport systems as traffic is not simply a physical process but the result of choices made by people and companies. These can be structural (home and workplace), tactical (modal choice) or operational (choice of paths). The objectives of this course are: 1. this course aims to provide students with tools to model transport systems and capture these behaviors: from graph theory to rational utility maximization models. 2. Modelling approaches can be either macroscopic or microscopic (involving simulation). 3. The models are based on observations of reality. Therefore, techniques of field data collection (traffic counts) and organization of survey sessions will be addressed. 4. The models simulate the complexity of transport systems, but also support decision making by testing interventions in the system and analyzing their impacts.

Syllabus

1. Demand modelling in transport systems: introduction, key concepts and processes 2. Basic concepts and tools: - Networks: fundamentals of graph theory - Zoning: definition and procedure - Freight and passenger models - 4 Steps Model and Activity Model (generation/attraction, gravitational model, Wardrop balance, discrete choice models...) - Data Collection/Construction of an O/D Matrix 3. Transport simulation models 4. Types of Models (Macro, Meso, Micro) - Macroscopic models for assigning traffic to the network (deterministic/static) - Microscopic models (lane-changing, gap-acceptance, car-folowing, etc.) - Construction of simulation models (formulation, coding, calibration, validation, application) - Examples of transport modelling packages (EMME2; SATURN; AIMSUN; VISIM/VISUM) 5. Application example/Case study - Data collection session - Construction, calibration and validation of a model - Analysis/resolution of an exercise

Prerequisites

For admitted students to the Master of Science of Transportation Systems, there are no additional requirements. For other students, a completed bachelor's degree in any engineering course at IST, or urban planning, geography, economics, with at least 24 ECTS in mathematics, physics, statistics and/or computer science.

Cross Competence Component

The UC allows the development of soft skills in Critical Thinking, namely strategic thinking and problem-solving approaches, during the project development; and Interpersonal and intrapersonal skills (oral, organizational and team work, self-discipline, perseverance, self-motivation) also during the project development. The assessment percentage associated with these competences should be around 20%.

Laboratorial Component

MST will have a computer lab component in which students will have an introduction to the microsimulation of traffic and macrosimulation of a transport system, through an application to practical cases. The software used will be AIMSUN (Siemens) or VISSIM/VISUM (PTV) whose teaching licenses will be awarded by the teacher responsible for the tutorial classes.