Title: Mimicking human driving behaviour for realistic simulation of traffic flow

Authors: Hua Cai, Yingzi Lin, Bo Cheng

Addresses: Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA. ' Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA. ' State Key Laboratory for Automotive Safety and Energy, Tsinghua University, Beijing 10084, China

Abstract: Simulated autonomous vehicles running on simplified driver models may lead to some drawbacks because of the very limited |human-like| errors and driver–driver interactive capability. This study proposes a simulation framework of realistic traffic flow that contains several types of autonomous vehicles. The vehicles operated by ideal driver models simulate the traffic flow in the far-field areas while the vehicles operated by cognitive driver models simulate the near-field areas owing to more |human-like| behaviour. Extended human-in-the-loop simulation uses real human drivers to enhance active driver-driver interaction. This simulation framework can be used to improve the fidelity of driving simulators.

Keywords: driving simulators; driver modelling; autonomous vehicle simulation; traffic flow simulation; autonomous vehicles; human-in-the-loop simulation; driver-driver interaction.

DOI: 10.1504/IJSPM.2010.036017

International Journal of Simulation and Process Modelling, 2010 Vol.6 No.2, pp.126 - 136

Published online: 12 Oct 2010 *

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