Transportation engineering

Code: -
|
ICAR/05
The course encompasses: performance analysis of components, facilities and transportation services and systems, for the management and integration of mobility; methods and techniques for the simulation of mobility demand, transport supply, demand/supply interaction, economic, spatial, energy, environmental and safety impacts.

Lesson hours:

72

Practice hours:

-

Propaedeuticities:

Basic mathematics and analysis; Linear algebra and Geometry

Credits:

9

Types of examinations:

Written and oral tests

Teacher:

-

Objectives:

The course aims to provide students with basic notions for the analysis of mobility phenomena, for the evaluation of the performance of simple transport systems, and the use of quantitative techniques for the simulation of the operation of transport networks.

Contents:

[1 CFU] Introduction to the course: the profession of transport systems engineer, application fields and typical problems, with relevant forecasting methods and tools. Preliminary stages in modelling a transport system: identification of the study area and zoning. Examples on realities at different spatial scales.

[1 CFU] Definition of a transport system and its components. Supply system: description of material elements (vehicles, infrastructures, and facilities) and immaterial elements (services, tariffs, rules) by transport mode. New types of transport systems (Mobility as a Service, car sharing, scooter sharing, uber, etc.). Cooperative connected and autonomous transport systems. Demand system: typological, spatial, temporal and transport characteristics of passenger and freight demand.

[2 CFU] Supply models: Graphs for private and public, urban and suburban, synchronic and diachronic transport networks. Calculation of performance and impacts of private and public transport networks, measures of accessibility, sustainability and resilience. Exercise on the construction of a supply model also using online and open-source data (OpenStreetMap, Google, etc.).

[0.5 CFU] Demand estimation: direct and model estimation. Four step model. RP and SP sample surveys for direct demand estimation and model estimation; cordon surveys. Integration of available partial and/or total demand estimates.

[1 CFU] Recalls of probability theory and random variables. Random utility models for discrete choices: multinomial logit, nested logit, introductions on GEV models, Probit, continuous and discrete mixtures. Model estimation: specification, calibration and validation of random utility models, maximum likelihood method, validation tests.

[1 CFU] Application of random utility models for transport demand estimation and forecasting: Four step model implemented with factorised logit; theory and example on an urban context. The pivot method for demand forecasting.

[1 CFU] Demand-supply interaction: network loading and user equilibrium models, deterministic and stochastic, with rigid and elastic demand, with explicit and implicit route enumeration (introductions).

[1.5 CFU] Introductions and examples of transport systems design, management and planning. ‘What if’ and ‘what to’ design methods. Design examples: single and coordinated traffic light systems, dimensioning of road infrastructure and public transport services, tariff design. Introductions on demand management policies (push and pull). Introductions on investment evaluation: cost/benefit and multi-criteria analysis.

Teaching materials:

To be completed.