Vehicle dynamics in automated traffic

Vehicle dynamics in automated traffic: Evaluation of the vehicle dynamics for longitudinal and lateral movement using real driving test data

Staiger, Julian (TU Delft Mechanical, Maritime and Materials Engineering)

Pfeffer, Peter E. (mentor)
Calvert, Simeon (mentor)
Wang, Meng (graduation committee)

Delft University of Technology
Technische Hochschule München

2020-05-27

Significant developments in the field of Advanced Driver Assistance Systems (A prove traffic management and prediction, driver comfort, and vehicle safety. However, a detailed knowledge of the way vehicles move is crucial for these applications. The mobility behavior has also changed over the last decades significantly. Both individual mobility and the mobility of goods is nowadays an essential part of our economy. The latest trends in vehicle automation are the predicted first signs of a partially/autonomous future of mobility. Whether thisfuture will be with or without individual vehicle ownership will become apparent in the coming years. For the moment, all researchers can do is to work on new topics tomake the future of mobility faster, more efficient, quieter, and safer. Detailed knowledge of state-of-the-art automation systems is essential in order to gain further insights into their effects, e.g., on traffic, the travel behavior of people, the security gaps caused by these systems, and passenger comfort.

http://resolver.tudelft.nl/uuid:37bf4dde-36e7-4d28-8dcd-6f15f6289523

Student theses

master thesis

© 2020 Julian Staiger