Traffic Demand Modelling, 6 credits

Trafikprognoser, 6 hp

TNK096

The course is disused. Offered for the last time Spring semester 2018. Replaced by TNK118.

Main field of study

Transportation Systems Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Clas Rydergren

Director of studies or equivalent

Erik Bergfeldt

Education components

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

Available for exchange students

Yes

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

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

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

LAB1	Laboratory work	3 credits	U, G
TEN1	Written examination	3 credits	U, 3, 4, 5

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

Code	Name	Scope	Grading scale
LAB1	Laboratory work	3 credits	U, G
TEN1	Written examination	3 credits	U, 3, 4, 5

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.

Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)

Course literature is preliminary.

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

Download

Download course literature list as PDF

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize

		I	U	A
1. DISCIPLINARY KNOWLEDGE AND REASONING
	1.1 Knowledge of underlying mathematics and science (G1X level)			X
	1.2 Fundamental engineering knowledge (G1X level)			X
	1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)	X	X
	1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
	1.5 Insight into current research and development work
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
	2.1 Analytical reasoning and problem solving		X	X
	2.2 Experimentation, investigation, and knowledge discovery		X	X
	2.3 System thinking		X	X
	2.4 Attitudes, thought, and learning
	2.5 Ethics, equity, and other responsibilities
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork			X
	3.2 Communications
	3.3 Communication in foreign languages			X
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
	4.1 External, societal, and environmental context	X		X
	4.2 Enterprise and business context
	4.3 Conceiving, system engineering and management	X	X
	4.4 Designing	X
	4.5 Implementing
	4.6 Operating
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
	5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development
	5.2 Economic conditions for knowledge development
	5.3 Identification of needs, structuring and planning of research or development projects
	5.4 Execution of research or development projects
	5.5 Presentation and evaluation of research or development projects

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