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#50444 / #10

Seit SoSe 2022


Intelligent transport systems


Nagel, Kai




Fakultät V

Institut für Land- und Seeverkehr

35331900 FG Verkehrssystemplanung und Verkehrstelematik



KAI 4-1

Rakow, Christian


No information

Learning Outcomes

After successfully passing the module, students are able to - understand relevant problems, especially due to fast system dynamics and conflicting goals in the selection of measures - to apply the taught methods in a differentiated way (data collection, traffic monitoring, information provision, real-time traffic management) in the different application domains (individual transport, commercial transport, rail transport, public transport)


Topics of the event: - How is information on the traffic situation generated? - When should passengers be informed about a public transport incident and how can they react? - Which methods and models can be used to account for the fast dynamics of traffic in planning and real-time control? - What distinguishes open loop from closed loop control? - Which traffic models are used to plan control measures in real-time traffic management systems? - How can the control mechanism of a fleet of autonomous vehicles react to spontaneously arising demand? - In addition to the theoretical basics, simulation-based application examples from the field of fleet management of autonomous or electric vehicles and traffic control are taught. - Furthermore, aspects of toll systems will be discussed (city toll/Toll Collect).

Module Components


All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Intelligente VerkehrssystemeIV0533 L 058SoSeEnglish4

Workload and Credit Points

Intelligente Verkehrssysteme (IV):

Workload descriptionMultiplierHoursTotal
180.0h(~6 LP)
Pre- / Postprocessing15.08.0h120.0h
Presence time15.04.0h60.0h
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

About half of the contact hours are in lecture; the rest practical exercises, often with a computer. The lecture and the exercise will be conducted in English.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

a) obligatory: basic knowledge of mathematics (years 1 and 2); knowledge according to the course "Grundlagen der Verkehrssystemplanung und Verkehrstelematik"; knowledge of computers, spreadsheets (e.g. Excel, ...), visualization of data, basic knowledge of mathematical software (e.g. Matlab, Maple, R) b) desirable: "Modellierung und Simulation von Verkehr" and/or “Multi-agent transport simulation”; basic knowledge of using the command line/shell, programming skills

Mandatory requirements for the module test application:

No information

Module completion



Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt



Test elements

Written Exam50writtenapprox. 50 minutes
Homework50written2-3 homeworks

Grading scale

Test description (Module completion)

Homework in English, exam in English (German translation of the questions and help for vocabulary will be provided). For the written test, there will be a choice of two regular dates.

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Registration will be at the beginning of the semester using the ISIS site of the course.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable


Electronical lecture notes

Availability:  available



Recommended literature
No recommended literature given

Assigned Degree Programs

This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Planung und Betrieb im Verkehrswesen (M. Sc.)15SoSe 2022SoSe 2023
Schiffs- und Meerestechnik (M. Sc.)15SoSe 2022SoSe 2023
Technomathematik (M. Sc.)16SoSe 2022SoSe 2023
Wirtschaftsingenieurwesen (M. Sc.)16SoSe 2022SoSe 2023

Students of other degrees can participate in this module without capacity testing.


No information