An intelligent systems framework for prototyping tactical driving decisions
by H. Tawfik, P. Liatsis
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 5, No. 1/2, 2008

Abstract: This paper discusses a driving simulation framework, which focuses on the decision-making role performed at the tactical driving level. Our tactical driving technique using Genetic Algorithms (GAs), named GA-INTACT, accounts for the positions of a 'subject' vehicle and those of other vehicles and their speed parameters in the surrounding traffic condition, and selects favourable speed change and lane transition actions for the 'subject' vehicle, according to safety, speed and driving behaviour criteria. The use of GAs for obtaining near-optimum driving solutions eliminates the need for learning driving patterns, and handles the complex nature of modelling tactical driving. In particular, the proposed framework addresses the role of driving behaviour in influencing drivers' tactical decisions – a matter that is not treated systematically and sufficiently by other driving simulation methods.

Online publication date: Mon, 05-May-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Systems Technologies and Applications (IJISTA):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email