Objectives and competences
The aim of this course is for students to:
• actively use methods and techniques for capturing traffic and mobility data
• be able to analyze the state of the transport system
• be able to prepare a synthesis - an assessment of the situation and prepare measures based on the synthesis
• evaluate the consequences of planned measures, make forecasts
• actively use tools for macroscopic traffic modeling and evaluate their useful value
Content (Syllabus outline)
Proces planiranja prometa.
Metode in tehnike:
- zajemanja podatkov o prometu
- iskanja in definiranja ciljev
- Iskanja in definiranja ukrepov
- napovedovanja posledic ukrepov
- vrednotenja pričakovanih in izmerjenih učinkov ukrepov
Prometni modeli (Pregled). Štiristopenjski prometni model.
Generacija prometa (metode analize kategorij, regresijske enačbe).
Distribucija (gravitacijski modeli).
Izbor sredstva (»modal split«), osnove teorije odločanja.
Dodeljevanje; metode najboljše poti, ravnotežne metode, metode s postopnim dodajanjem in razbremenjevanjem (inkrementalne, »re-load« metode).
Modeliranje omrežij (funkcije generaliziranih stroškov ipd.)
Pregled orodij in modelov za modeliranje vplivov na gospodarsko, demografsko in socialno strukturo.
Modeli za ocenejevanje vplivov na okolje.
Uporaba programskih orodij za prometno planiranje (PTV-Vision, TransCAD) ter QGIS. Transportation planning process.
Methods and techniques of:
- data acquisition
- development of objectives and goals
- development of Measures
- assessment and prognosis
- evaluation
Models in transport (overview). Disaggregated four –steps transportation model:
Trip generation (regression, category analysis)
Trip distribution (gravitational, growth factors)
Modal Split (discrete choice modeling)
Network Assignment (best route, equilibrium, incremental, re-load procedures)
Modeling of transportation network (general costs)
The modeling of economical, social and environmental impact of transportation systems (overviews of concepts and tools).
Use of transportation planning tools (PTV-Vision, TransCAD) and QGIS.
Learning and teaching methods
Lectures
Field work (interview, counting)
Computer/laboratory work
Project work
Intended learning outcomes - knowledge and understanding
To learn about transportation planning process:
how to develop the goals, measures and how to assess and evaluate them.
To understand the real potential and limits of transportation modeling tools.
Intended learning outcomes - transferable/key skills and other attributes
To set, calibrate and validate transport model with the certain program tool.
Readings
- Lep, Mesarec: Planiranje Prometa, Fakulteta za gradbeništvo, Mariboru, 2015
- Ortuzar, Willumsen: Modelling Transport, Fourth Editioin, John Wiley & Sons, 2011
- Willumsen, Better Traffic and Revenue Forecasting, Maida Vale Press, 2014
- PTV – Vision / TransCAD: User Manual's
Prerequisits
Recommended knowledge of basics in Transportation Planning and Traffic Flow Theory
