Enhancement of Driver Speed Based on Multi-Criteria Optimization

Authors

  • András Mihály
    Affiliation

    BME Department of Control for Transportation and Vehicle Systems

  • Balázs Németh
    Affiliation

    Computer and Automation Research Institute, Hungarian Academy of Sciences

  • Péter Gáspár
    Affiliation

    Computer and Automation Research Institute, Hungarian Academy of Sciences

https://doi.org/10.3311/PPtr.7103

Abstract

The paper focuses on the design of an adaptive cruise control system which follows the behavior of the driver besides the optimization of longitudinal energy and fuel consumption.
By using road information about the future characteristics of the road, e.g. oncoming speed limits or road slopes, it is possible to modify the speed during the journey in advance. The aim is to enhance the comfort of the driver and the passengers by adopting the natural behavior of the driver in the speed selection process and at the same time road information is taken into consideration. The driver behavior is captured using a longitudinal driver model. The main novelty of the paper is the incorporation of the driver behavior in the look-ahead control algorithm. It is demonstrated in real data simulation that with the proposed method a significant amount of fuel can be saved while the speed profile is closer to that of the human driver.

Keywords:

driver model; look-ahead control; multi-criteria optimization; optimal velocity

Published Online

2013-01-20

How to Cite

Mihály, A., Németh, B., Gáspár, P. (2013) “Enhancement of Driver Speed Based on Multi-Criteria Optimization”, Periodica Polytechnica Transportation Engineering, 41(1), pp. 71–76. https://doi.org/10.3311/PPtr.7103

Issue

Section

Articles