Improved adaptive neuro fuzzy inference system car-following behaviour model based on the driver–vehicle delay
Improved adaptive neuro fuzzy inference system car-following behaviour model based on the driver–vehicle delay
- Neue Suche nach: Khodayari, Alireza
- Neue Suche nach: Ghaffari, Ali
- Neue Suche nach: Kazemi, Reza
- Neue Suche nach: Alimardani, Fatemeh
- Neue Suche nach: Braunstingl, Reinhard
- Neue Suche nach: Khodayari, Alireza
- Neue Suche nach: Ghaffari, Ali
- Neue Suche nach: Kazemi, Reza
- Neue Suche nach: Alimardani, Fatemeh
- Neue Suche nach: Braunstingl, Reinhard
In the past decades, different forms of car-following behaviour model have been intensively studied, proposed and implemented. These models are increasingly used by transportation experts to utilise for appropriate intelligent transportation systems. Unlike previous works, where the reaction delay is considered to be fixed, an improved adaptive neuro fuzzy inference system (ANFIS) model is proposed to simulate and predict the car-following behaviour based on the reaction delay of the driver–vehicle unit. An idea is proposed to calculate the reaction delay. In this model, the reaction delay is used as an input and other inputs–outputs of the model are chosen with respect to this parameter. Using the real-world data, the performance of the model is evaluated and compared with the responses of other existing ANFIS car-following models. The simulation results show that the proposed model has a very close compatibility with the real-world data and reflects the situation of the traffic flow in a more realistic way. Also, the comparison shows that the error of the proposed model is smaller than that in the other models.
Dokumentinformationen
Improved adaptive neuro fuzzy inference system car-following behaviour model based on the driver–vehicle delay
IET Intelligent Transport Systems ; 8 , 4 ; 323-332
2014-06-01
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
driver vehicle delay , transportation experts , automated highways , ANFIS model , intelligent transportation systems , inference mechanisms , traffic engineering computing , reaction delay , automobiles , fuzzy neural nets , adaptive neuro fuzzy inference system car following behaviour model , driver vehicle unit
Metadata by IET is licensed under CC BY 3.0
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