Road Traffic Management

Credits: 6 ECTS

Objectives:

Provide students with a deep knowledge and with advanced R&D skills and competences on the subject of road traffic management.

Main Topics:

  • Basic principles for transport network organization.
  • Design vs. hierarchy rules.
  • Corridor management and control strategies.
  • Speed management.
  • Parking management.
  • Transit-oriented infrastructure management.
  • Integrated transport infrastructure management.
  • Road safety.
  • Accident monitoring, analysis, and mitigation.
  • Intelligent transport systems.
  • UTC, AVL, and VMS systems.
  • Route Guidance.
  • Automatic Road Pricing.
  • Control, communication, and information systems.
  • Microsimulation of transport systems.
  • Traffic forecasting.
  • Generation of alternative traffic solutions.
  • Performance assessment measures.

 


Research Methodologies in Natural and Social Sciences

Credits: 6 ECTS

Objectives: Provide students with a deep knowledge on advanced research methodologies and work plan development skills.

Main Topics:

  • Evolution of research methods.
  • Scientific approaches.
  • Scientific method in natural sciences: description, prediction, control, and understanding.
  • Controllable and uncontrollable phenomena: limitations of experimental methods in face of real world complexity.
  • Non-experimental methods: correlation, nature observation, surveys/questionnaires, case studies.
  • Research and analysis with missing data.
  • Optimization methods.
  • Conversion of empirical data into computational data.
  • Socioeconomic analysis and methods.
  • Political analysis and methods.
  • Research design and process control.

 


Transport Demand Modeling

Credits: 6 ECTS

Objectives: Provide students with a deep knowledge and with advanced R&D skills and competences on the subject of transport demand modeling.

Main Topics:

  • Linear regression models.
  • Estimation methods.
  • Assumption violations: non-linearity; heteroscedasticity; serial correlation of errors; non-normal distribution of errors; multicollinearity.
  • Modeling strategies.
  • Time series models.
  • Smoothing methods.
  • ARIMA models.
  • Non-linear models.
  • Panel data models.
  • Fixed-effect and random-effect models.
  • Generalized regression models (counts of events).
  • Poisson regression model.
  • Negative binomial regression model.
  • Zero-inflated Poisson regression model.
  • Ordered response and discrete choice models.
  • Probit and logit models.
  • System dynamics models.
  • Model ingredients – stocks, transitions, loops, and boundary.
  • Construction of a system dynamics model with the Vensim software.
  • Multi-agent models.
  • Model ingredients – environment, agents, objects, space-time interactions, and boundary.
  • Construction of a multi-agent model with the Anylogic software.

 


Infrastructure Optimization and Transport Operations

Credits: 6 ECTS

Objectives: Provide students with a deep knowledge and with advanced R&D skills and competences on the subject of optimization of transport infrastructure and operations.

Main Topics:

  • The role of optimization in decision processes.
  • Formulation and resolution of optimization models.
  • Optimization of logistic systems.
  • Warehouse location, fleet sizing, vehicle routing, and service network design models.
  • Optimization of road and rail transport systems.
  • Road and rail capacity. Road and rail network design and conservation models.
  • Transit network design models.
  • Highway and railway alignment models. Traffic signal control models.
  • Optimization of air transport systems.
  • Airport capacity.
  • Airport network design models.
  • Air traffic management models.
  • Airline network design models (flight scheduling, fleet and crew assignment).
  • Revenue management models.
  • Consideration of uncertainty issues in transport systems optimization.

 


Risk and Decision Making

Credits: 6 ECTS

Objectives: Provide students with a deep knowledge and with advanced R&D skills and competences on the subject of risk and decision-making.

Main Topics:

  • Paradigms in decision support involving uncertainty/risk, multiple objectives/attributes, and multiple actors/stakeholders.
  • Modeling uncertainty and risk.
  • Fundamental concepts of probability theory.
  • Framework for risk analysis, assessment and management.
  • Decision analysis (single-criterion).
  • Framework for decision support under uncertainty/risk.
  • Attitudes toward risk.
  • Utility theory.
  • Decision trees and influence diagrams.
  • Value of information.
  • Bayesian analysis.
  • Multicriteria analysis.
  • Problem structuring: values, objectives, attributes, achievement/performance scales.
  • Additive methods.
  • Weight eliciting and interpretation.
  • Reference point methods.
  • Outranking methods.
  • Sensitivity and robustness analysis.
  • Treatment of uncertainty.
  • Game theory.
  • Zero-sum and non-zero sum games.
  • Extensive form of a game. Resolution of finite games.
  • Cooperative and non-cooperative games. Coalition games.

 


Road and Airport Infrastructure Engineering

Credits: 6 ECTS

Objectives: Provide students with a deep knowledge and with advanced R&D skills and competences on the subject of road and airport infrastructure engineering.

Main Topics:

  • Surface transport infrastructure engineering, scope and specificities.
  • The road and its components.
  • The aircraft-related land side of airports and aerodromes.
  • Design of road pavements.
  • Pavement design in special road sections.
  • Design of airport pavements.
  • Road bridges and tunnels: description, facilities, specific operation.
  • Construction of road and airport pavements.
  • Technological specificities of applicable materials.
  • Road and pavement condition assessment.
  • Formulation of road/pavement maintenance and rehabilitation.

 


Business Models and Contracts

Credits: 6 ECTS

Objectives:  Provide students with a deep knowledge and with advanced R&D skills and competences on the subject of business models and contracts in the transport sector.

Main Topics:

  • Business legislation.
  • Accidents, safety, and civil liabilities.
  • Criminal sanctions for irregular conduct.
  • Competition and regulation.
  • Contracts and partnership structures.
  • Labor environment.
  • Business models.
  • Theory of contracts and incentives.
  • Transport operation contracts.
  • Infrastructure provision contracts.
  • Realworld cases.

 


Transport Policy and Institutions

Credits: 6 ECTS

Objectives: Provide students with a deep knowledge and with advanced R&D skills and competences on the subject of transport policy and institutions.

Main Topics:

  • Fundamental issues of public policy and its processes.
  • Public policy analysis and assessment methods.
  • The role of institutions in policy design and implementation.
  • Environmental preservation issues and their role in policy design.
  • Inclusion of environmental concerns in decision processes.
  • General transport policy and its application to the different transport modes.

 


Project and Maintenance of Railway Infrastructure

Credits: 6 ECTS

Objectives: Provide students with a deep knowledge and with advanced R&D skills and competences on the subject of rail infrastructure design and conservation.

Main Topics:

  • Basic notions of railways.
  • Key variables of railway design.
  • Stages and processes in railway design.
  • Geometric design.
  • Applicable criteria and constraint analysis.
  • Pre-design studies and design blueprints.
  • Railway layout.
  • Assessment of impacts on commercial operation.
  • Fixed facilities.
  • Complements on electricity, safety, signaling, and operation systems.
  • Basic notions of fixed facilities design.
  • Structural design.
  • Multi-layer elastic and finite-element models.
  • Constitutive materials models.
  • Dynamic analysis of railway-vehicle interaction.
  • Advanced models of railway behavior.
  • Construction and maintenance of railway infrastructure.
  • Assessment, maintenance and rehabilitation methodologies, criteria, and systems. Activity planning and implementation.
  • Advanced maintenance management.
  • Decision-aid tools/expert systems.
  • Railway design optimization based on life-cycle cost analysis.

 


Simulation Systems for Land-Use / Transport

Credits: 6 ECTS

Objectives: Provide students with a deep knowledge and with advanced R&D skills and competences on the subject of land-use/transport systems simulation.

Main Topics:

  • Classic (four-step) transport model.
  • First land-use/transport model: the Lowry model.
  • Urban dynamics models.
  • Definition of stocks and flows, identification of loops, and construction of causality
  • diagrams.
  • Development of an urban dynamics model with the AnyLogic software.
  • Cellular automata models.
  • Cell structures, cell states, and state transition rules.
  • Development of cellular automata model with the CelLab software.
  • Examples of advanced models: SLEUTH and MOLAND.
  • Multi-agent models.
  • Agent behavior, interaction environments and events.
  • Development of a multi-agent model with the AnyLogic software.
  • Examples of advanced models: ILUTE and UrbanSim.
  • Calibration of land-use/transport models.

 


Thesis Project in Transport Systems

Credits: 30 ECTS

Objectives: Provide students with the skills and competences to prepare a research proposal and the corresponding work plan.

Main Topics:

  • Preparation and defense of a written proposal for a doctoral thesis’ project.
  • The proposal must include a stateof-the-art about the subjects to deal with in the thesis, a thorough presentation of these subjects, indications about the methods to apply and the results to obtain, and a detailed description of the work plan, which will be developed by the student with his/her supervisor.

 


Doctoral Thesis in Transportation Systems

Credits: 120 ECTS

Objectives: Provide students with the skills and competences to coordinate and develop high-level R&D.

Main Topics:

  • Preparation and defense of a doctoral thesis.