Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
International Journal of Automotive Technology

02.05.2024 | Connected Automated Vehicles and ITS, Electrical and Electronics, Human Factors and Ergonomics

Psychological Field Effect Analysis and Car-Following Behavior Modeling Based on Driving Style

verfasst von: Hui Song, Dayi Qu, Chunyan Hu, Tao Wang, Liyuan Ji

Erschienen in: International Journal of Automotive Technology

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

To analyze the car-following behavior accurately, this paper takes the drivers’ psychological factors into the consideration based on the psychological field theory. The vehicle dynamics indexes are extracted through vehicle history trajectories and the driving styles are clustered by k-means methods. After that the perception coefficient, reaction coefficient, and driving style correction coefficient are obtained and integrated into the psychological field for characterizing the drivers’ driving styles. The psychological car-following model which considers the driving styles is built based on the Full Velocity Difference (FVD) model. Finally, the model is validated under the MATLAB/Simulink environment and the result reveals that the psychological field car-following model achieves higher accuracy of characterizing car-following behavior compared with the FVD model and the interaction potential model.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

ATZelectronics worldwide

ATZlectronics worldwide is up-to-speed on new trends and developments in automotive electronics on a scientific level with a high depth of information. 

Order your 30-days-trial for free and without any commitment.

Jetzt informieren
Weitere Produktempfehlungen anzeigen
Literatur
Chen, K., & You, F. (2016). A study on modeling and simulation of car-following on curve sections of highways based on field theory in psychology. Traffic Information and Safety, 6, 77–82.
Diao, S. (2020). Behavior analysis and mental field modeling of pedestrian crossing in urban section. Chongqing Jiaotong University.
Jiang, R., & Wu, Q. (2003). First-and second-order phase transitions from free flow to synchronized flow. Physica a: Statistical Mechanics and Its Applications, 322, 676–684.CrossRef
Jiang, R., Wu, Q., & Zhu, Z. (2001). Full velocity difference model for a car-following theory. Physical Review E, 64(1), 017101.CrossRef
Lewin, K., & Zhu, P. (1998). Principles of topological psychology. Zhejiang Education Publishing House.
Li, S. (2020). A dissertation submitted to the graduate school of Henan University in partial fulfillment of the requirements for the degree of master of engineering science. Henan University.
Liu, H. (2016). Research on the model of driver’s psychological field in traffic conflict environment. Shandong Jiaotong University.
Lu, B., & Diao, S. (2019). Research on pedestrian crossing safety measures based on psychological field strength model. Science Technology and Engineering, 19(14), 351–356.
Lv, K., Li, X., Han, T., Qiao, J., & Liu, Y. (2021). AEB control strategy based on driving style recognition. Automobile Technology, 5, 16–21.
Mullakkal-Babu, F. A., Wang, M., Farah, H., van Arem, B., & Happee, R. (2017). Comparative assessment of safety indicators for vehicle trajectories on highways. Transportation Research Record: Journal of the Transportation Research Board, 2659, 127–136.CrossRef
Qu, D., Zhao, Z., Jia, Y., & Wang, T. (2022) Car-following dynamics characteristics and model based on Lennard-Jones potential. Journal of Jilin University (Engineering and Technology Edition), 52(11), 2549–2557.
Tao, P. (2012). Modeling of driving behavior based on the psychology field theory. Jilin University.
Wang, J., Wu, J., & Li, Y. (2015). The driving safety field based on driver–vehicle–road interactions. IEEE Transactions on Intelligent Transportation Systems, 16(4), 2203–2214.CrossRef
Yu, L. (2018). Research on the construction and application of driver’s psychological field model in traffic conflict environment. Shandong Jiaotong University.
Zhao, Q., & Zhao, Z. (2020). Driving psychological field model: Vehicle modeling following process from driver’s perspective. In Proceedings of the 32nd China conference on control and decision-making (Vol. 4, pp. 898–903).
Metadaten
Titel
Psychological Field Effect Analysis and Car-Following Behavior Modeling Based on Driving Style
verfasst von
Hui Song
Dayi Qu
Chunyan Hu
Tao Wang
Liyuan Ji
Publikationsdatum
02.05.2024
Verlag
The Korean Society of Automotive Engineers
Erschienen in
International Journal of Automotive Technology
Print ISSN: 1229-9138
Elektronische ISSN: 1976-3832
DOI
https://doi.org/10.1007/s12239-024-00079-7

    Premium Partner

    Bildnachweise