Title :
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
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;
Conference_Titel :
Mechatronics (ICM), 2011 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-61284-982-9
DOI :
10.1109/ICMECH.2011.5971281
