Integrated application of network traffic and intelligent driver models in the test laboratory analysis of autonomous vehicles and electric vehicles

被引：0
|
作者：
Peter, Tamas [1 ]
Szauter, Ferenc [2 ,3 ]
Rozsas, Zoltan [4 ,5 ]
Lakatos, Istvan [2 ,3 ]
机构：
[1] Budapest Univ Technol & Econ BME, Dept Control Transportat & Vehicle Syst, Stoczek Utca 2, H-1111 Budapest, Hungary
[2] Szechenyi Istvan Univ, SZE KVJT, Egyet Ter 1, H-9026 Gyor, Hungary
[3] Szechenyi Istvan Univ, JKK, Egyet Ter 1, H-9026 Gyor, Hungary
[4] Automot Proving Ground Zala Ltd, Jozsef Nador Ter 2-4, H-1051 Budapest, Hungary
[5] Feszek U 4, H-8900 Zalaegerszeg, Hungary
来源：
INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS | 2020年 / 27卷 / 1-2期
关键词：
autonomous electric vehicles; laboratory model-based diagnostic procedure; corresponding speed and steering angle signals; laboratory based generation; real traffic environment;
D O I：
10.1504/IJHVS.2020.104422
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
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 (Peter and Lakatos, 2017).
引用
收藏
页码：227 / 245
页数：19
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