Design of an improved fuzzy logic based model for prediction of car following behavior

Author

Khodayari, Alireza ; Kazemi, Reza ; Ghaffari, Ali ; Braunstingl, Reinhard

Author_Institution

Mech. Eng. Dept., K. N. Toosi Univ. of Technol., Tehran, Iran

fYear

2011

fDate

13-15 April 2011

Firstpage

200

Lastpage

205

Abstract

Nowadays, car following models, as the most popular microscopic traffic flow modeling, are increasingly being used by transportation experts to evaluate new Intelligent Transportation System (ITS) applications. This paper presents a car following model that was developed using a fuzzy inference system (FIS) to simulate and predict the future behavior of a Driver-Vehicle- Unit (DVU). This model was developed based on a new idea for estimating the instantaneous reaction of DVU, as an input of fuzzy model. The model´s performance was evaluated based on field data. The results showed that fuzzy model based on instantaneous reaction delay outperformed the other car following models. The proposed model can be used in Driver Assistant Devices, Safe Distance Keeping Observers, Collision Prevention Systems and other ITS applications.

Keywords

automated highways; automotive engineering; fuzzy logic; fuzzy reasoning; ITS application; car following behavior prediction; car following model; collision prevention system; driver assistant device; driver-vehicle-unit; fuzzy inference system; fuzzy logic based model; instantaneous reaction delay; intelligent transportation system application; microscopic traffic flow modeling; safe distance keeping observer; transportation experts; Acceleration; Vehicles; car following; fuzzy logic; instantaneous reaction delay; modeling; prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics (ICM), 2011 IEEE International Conference on

Conference_Location

Istanbul

Print_ISBN

978-1-61284-982-9

Type

conf

DOI

10.1109/ICMECH.2011.5971281

Filename

5971281