Title: Integrated application of network traffic and intelligent driver models in the test laboratory analysis of autonomous vehicles and electric vehicles
Authors: Tamás Péter; Ferenc Szauter; Zoltán Rózsás; István Lakatos
Addresses: Department of Control for Transportation and Vehicle Systems, Budapest University of Technology and Economics (BME), Stoczek utca 2. 1111, Budapest, Hungary ' Széchenyi István University, SZE KVJT and JKK, Egyetem tér 1. 9026, Gyor, Hungary ' Automotive Proving Ground Zala Ltd.. Jozsef nador ter 2-4. H-1051 Budapest, Hungary Project office: Feszek u. 4. H – 8900 Zalaegerszeg ' Széchenyi István University, SZE KVJT and JKK, Egyetem tér 1. 9026, Gyor, Hungary
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).
Keywords: autonomous electric vehicles; laboratory model-based diagnostic procedure; corresponding speed and steering angle signals; laboratory based generation; real traffic environment.
International Journal of Heavy Vehicle Systems, 2020 Vol.27 No.1/2, pp.227 - 245
Received: 24 Sep 2018
Accepted: 14 Nov 2018
Published online: 10 Jan 2020 *