Transport Systems (2500022) – Course 2025/26 PDF
Contents
Operations and modeling in transport. Transport chain. Urban mobility. Problems of airplanes, trains and other vehicles represented by trajectories in space-time diagrams Space-time diagrams. A vehicle. Many vehicles. Deterministic theory. Queue discipline. Optimization. Relation between (s-t) and (N-t) diagrams. Applications: traffic accident, train station. Stochastic models. Correctly apply the appropriate mathematical techniques to transport systems with capacity constraints
Specific Objectives
Knowledge of the operations and operation of transport infrastructures Knowledge of analysis tools for overcoming the distance of a vehicle
Dedication
8h Large group + 8h Medium group + 22h 24m Self StudyTraffic theory. Stationary models of traffic flow. Continuity equation. Fundamental variables. Analysis of the fundamental variables at macroscopic and microscopic level. Car following models. Variational theory. Macroscopic Fundamental Diagram in Cities. Control. Detectors. Traffic lights. Networks. Paradoxes. Traffic theory. Laboratory. Modal characterization. Line design. Network design in urban areas. Fleet sizing. Operations. Service level. Urban Mass transport. Problems
Specific Objectives
Knowledge of traffic theory for the correct analysis of vehicle operations on the road network Correctly apply the models of management, evaluation and design of road networks to maximize the efficiency of the service to the user Knowledge of the design, operation and operation of public transport systems Use models to define the proper design and operation of public transport networks to maximize the efficiency of the service to the user
Dedication
8h Large group + 4h Medium group + 6h Laboratory classes + 25h 12m Self StudyData and information. Errors. Sampling. Surveys. Information needs. Elasticities. Demand modeling. UTP modeling. Trip generation / attraction. Trip distribution. Estimation of trip matrices from flow counts. Partial matrices. Discrete choice models. Logit model. Independence from irrelevant alternatives. Hierarchical logit model. Probit model. Calibration for maximum likelihood. Stated and Revealed Preferences. Wardrop Principles. Traffic assignment models. Introduction to transport system modeling problems
Specific Objectives
Knowledge of models for forecasting demand and flow assignment.
Dedication
8h Large group + 8h Medium group + 22h 24m Self StudyCapacity, benefits and level of service. Road transport: costs, road terminals, service stations, tolls. Subsystems, elements and tasks, optimization of operations, job-scheduling, simulation. Applications: Port, airport and railway terminals. Air transport network. Costs. Design and management of airport terminals. Rail transport network. Costs. Design and management of railway terminals. Maritime transport network. Costs. Design and management of port terminals.
Specific Objectives
Knowledge of the design and operation of transport terminals as well as the management of the resources necessary for their management Knowledge of the causal and quantitative operation of the air and rail transport system. Knowledge of the causal and quantitative operation of maritime and intermodal transport systems.
Dedication
6h Large group + 2h Medium group + 2h Laboratory classes + 14h Self Study