Traffic Demand Modelling, 6 credits (TNK096)

Trafikprognoser, 6 hp

Main field of study

Transportation Systems Engineering

Level

Second cycle

Course type

Programme course

Examiner

Clas Rydergren

Director of studies or equivalent

Erik Bergfeldt

Available for exchange students

Yes
Course offered for Semester Period Timetable module Language Campus VOF
6MTSL Intelligent Transport Systems and Logistics, Master's programme 2 (Spring 2017) 2 2 English Norrköping v
6CKTS Communication and Transportation Engineering, M Sc in Engineering 8 (Spring 2017) 2 2 English Norrköping v
6CKTS Communication and Transportation Engineering, M Sc in Engineering (Master Profile Traffic Informatics) 8 (Spring 2017) 2 2 English Norrköping o

Main field of study

Transportation Systems Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Intelligent Transport Systems and Logistics, Master's programme
  • Communication and Transportation Engineering, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Planning and simulation of traffic systems

Intended learning outcomes

The purpose of the course is to give knowledge in traffic and transport modelling. Further, the course will help the student to gain knowledge in how the models can be used for making predictions, forecasts and sensitivity analysis. After finishing the course, the student shall:

  • Motivate and derive basic discrete choice models
  • Apply choice models for modelling of mode, demand the route in a traffic network
  • Estimate parameters in basic discrete choice models of Logit type
  • Formulate and use trip distribution, route choice, and demand models for evaluating price sensitivity and road charges
  • Combine and analyse route choice models, demand models and choice model
  • Make use of programs and tools for analysing the models stated above

Course content

  • Discrete choice models
  • Basic and nested logit models
  • Parameter estimation for choice models
  • Experiments with logit models
  • Demand the OD-estimation
  • Route choice models
  • Combined models for demand, mode and route choice
  • Application of the above models on capacity and pricing problems

Teaching and working methods

The course consists of lectures, seminars and laborations

Examination

LAB1Laboratory workU, G3 credits
TEN1Written examinationU, 3, 4, 53 credits

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för teknik och naturvetenskap

Director of Studies or equivalent

Erik Bergfeldt

Examiner

Clas Rydergren

Education components

Preliminary scheduled hours: 44 h
Recommended self-study hours: 116 h

Course literature

Koppelman, F.S. och Bath. C., (2006) A self instructing course in mode choice modelling and nested logit models, tillgänglig på Internet. Webbsida med kompendiematerial
Koppelman, F.S. och Bath. C., (2006) A self instructing course in mode choice modelling and nested logit models, tillgänglig på Internet. Webbsida med kompendiematerial
LAB1 Laboratory work U, G 3 credits
TEN1 Written examination U, 3, 4, 5 3 credits

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

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