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Vehicle-2-X Communications and Control

*******UPDATE on 20.04.2020 for the summer semester ******* 

The course will take place summer semester 2020. ISIS module [1] has been created. Please check for additional updates there.

Administrative information

6 ECTS, 4 SWS, consists of lecture and tutorial.

Time and location

In this semester (SS2020), the course will be held online until further notice. It'll be based on recorded video lectures.

Participation

Students who wish to participate should send an email to sangyoung.park@tu-berlin.de [2] until 20th of April. This decision is binding and I will ask the student to register for the exam within the first weeks.

The tutorial parts of this course involves using two open-source simulators. It requires a computer with a Linux or Windows operating system.

Learning outcomes

The aim of this module is to learn the basic theories regarding vehicle-to-x communications, identify and solve interesting control problems arising from the new technology. Students will first understand the vehicle dynamics modeling, control of vehicles as well as basics of the vehicular communication networks. Then, rather than diving into deeper theories, this module aims at applying the theories to interesting real-world scenarios including vehicle platooning, intersection control, etc., on an open source traffic and network simulator. This module openly invites students from multiple engineering domains ranging from electrical engineering, mechanical engineering, transportation engineering, and so on, who are interested in basic theories and use cases of future connected cars. At the end of this module, the students will identify interesting problem of their own, investigate the problem and write a short report.

Lecture contents

The lecture covers the following topics:

- Introduction to connected vehicles

- Vehicle dynamics modeling

- Sensors in intelligent transportation systems

- Vehicular communication basics

- Vehicle platoon control

- Intersection control

- Communication & Traffic co-simulation using SUMO and OMNet++

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