Transactions of Society of Automotive Engineers of Japan
Online ISSN : 1883-0811
Print ISSN : 0287-8321
ISSN-L : 0287-8321
Research Paper
Autonomous Driving Control in Mixed Traffic Scene by Using Nonlinear Model Predictive Control and Graph Theory
Tadashi SumiokaKenji NishimiyaYoshimitsu Akuta
Author information
JOURNAL FREE ACCESS

2017 Volume 48 Issue 6 Pages 1353-1358

Details
Abstract
In this paper, an autonomous lane change method using nonlinear model predictive control and graph theory is proposed. By using graph theory, a safe driving path considering traffic conditions of other vehicles is calculated. By using that path, a trajectory and velocity considering comfort are calculated using nonlinear model predictive control. Simulation results show that behaviors to overtake other vehicles traveling ahead and to give way to other vehicles traveling behind are obtained. Moreover, simulation result indicates that the proposed method can be calculated about ten times faster than the conventional method using dynamic programming.
Content from these authors
© 2017 Society of Automotive Engineers of Japan, Inc.
Previous article
feedback
Top