Intelligent Architecture for Car-following Behaviour Observing Lane-changer: Modeling and Control

Farzam Tajdari, Naeim Ebrahimi Toulkani, Maral Nourimand

Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

4 Sitaatiot (Scopus)

Abstrakti

During motorway driving behaviour, the car-following behaviour is the most popular among the rest of behaviours e.g., lane-changing and overtaking. However, a few research has been done on the effect of lane change behaviour on car-following behaviour. The effect is a highly complex transient state among the car-following models and makes the car follower exit the previous ones, which are known as conventional models, for a limited time. Accordingly, in this paper, an intelligent model includes anticipation of interaction behaviour regarding the micro-structure of drivers is proposed, when Lane Changer (LC) exits the lane is studied. Continuously, a fuzzy controller is designed based on the criteria of detecting the complex behaviour in the model. Both the model and the controller aim to regulate the Follower Vehicle (FV) acceleration which simulates the behaviour of a real driver. Afterward, its performance is compared with the database of human drivers. The results assert that the model is capable to estimate the behaviour of the real drivers perfectly. Also, the controller provides a safer and smoother drive comparing to a real driver, in addition to less traveling time.

AlkuperäiskieliEnglanti
Otsikko2020 10h International Conference on Computer and Knowledge Engineering, ICCKE 2020
Sivut579-584
Sivumäärä6
ISBN (elektroninen)9781728185668
DOI - pysyväislinkit
TilaJulkaistu - 29 lokak. 2020
Julkaistu ulkoisestiKyllä
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
Tapahtuma10th International Conference on Computer and Knowledge Engineering, ICCKE 2020 - Mashhad, Iran
Kesto: 29 lokak. 202030 lokak. 2020

Julkaisusarja

Nimi2020 10h International Conference on Computer and Knowledge Engineering, ICCKE 2020

Conference

Conference10th International Conference on Computer and Knowledge Engineering, ICCKE 2020
Maa/AlueIran
KaupunkiMashhad
Ajanjakso29/10/2030/10/20

!!ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Computational Mathematics
  • Communication
  • Artificial Intelligence

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