Integrated application of network traffic and intelligent driver models in the test laboratory analysis of autonomous vehicles and electric vehicles
by Tamás Péter; Ferenc Szauter; Zoltán Rózsás; István Lakatos
International Journal of Heavy Vehicle Systems (IJHVS), Vol. 27, No. 1/2, 2020

Abstract: The aim of the research is to develop a laboratory model-based diagnostic procedure that performs tests of the motion processes of autonomous electric vehicles in a particular city, on a transport network or track. The test consists of a laboratory based generation of the corresponding speed and steering angle signals, being in accordance with real driving and traffic conditions, which are also used in the test procedure. The procedure takes into account the real trajectory tracking process as well (Péter and Lakatos, 2017).

Online publication date: Fri, 10-Jan-2020

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