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
Bücher
Zeitschriften
Kongresse
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Veranstaltungskalender Awards MyNewsletter Firmensuche
Kunden Login
Über Einzelzugang informieren
Über Unternehmenszugang informieren
Referenzkunden
12. Internationaler Motorenkongress 2025 | 25. + 26. Februar 2025

Treffpunkt der Community für Antriebe und nachhaltige Kraftstoffe

Der Kongress beleuchtet die zukünftige Rolle des Verbrennungsmotors und seiner nichtfossilen Kraftstoffe aus globaler Sicht mit führenden Experten. Seien Sie dabei! Weitere Informationen und Buchungsmöglichkeiten finden Sie auf unserer Website.
Erweiterte Suche
Anmelden
nach oben
International Journal of Intelligent Transportation Systems Research
Erschienen in:

03.09.2021

Stability Analysis and Control of an Extended Car-Following Model under Honk Environment

verfasst von: Wenju Du, Yinzhen Li, Jiangang Zhang

Erschienen in: International Journal of Intelligent Transportation Systems Research | Ausgabe 1/2022

Einloggen

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

search-config
loading …

Abstract

In order to study the traffic jams and congestion and to understand the forming process of traffic congestion. On the basis of synchronization theory of complex network, this paper investigated the stability of an extended car-following model under honk environment. By using the Lyapunov stability theory and designing the appropriate controller, the car-following model is quickly stabilized and the stability condition of the model is obtained. In addition, the stability of the extended car-following model under honk environment is studied when the vehicle is subjected to external disturbance. Finally, the effects of the designed controller on the stability of the extended car-following model under honk environment and the influence of honk effect on the traffic flow are verified by using the Matlab simulation technology. The conclusions of this paper can provide a theoretical reference for the prevention and control of traffic congestion.
Nächster Artikel Lane-Level Vehicle Counting Based on V2X and Centimeter-level Positioning at Urban Intersections

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

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

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
Weitere Produktempfehlungen anzeigen
Literatur
1.
Gipps, P.G.: A behavioural car-following model for computer simulation. Transp. Res. B Methodol. 15(2), 105–111 (1981)CrossRef
2.
Chakroborty, P., Kikuchi, S.: Evaluation of the general motors based car-following models and a proposed fuzzy inference model. Transp. Res. Part C: Emerging Technologies. 7(4), 209–235 (1999)CrossRef
3.
He, G.G., Wan, X.Y.: Simulation research on evaluating of reasonability for the Car-following models based on Chaos criterion. Syst. Eng.-Theory Pract. 24(4), 122–129 (2004)
4.
Ge, H.X., Meng, X.P., Ma, J., Lo, S.M.: An improved car-following model considering influence of other factors on traffic jam. Phys. Lett. A. 377(1–2), 9–12 (2012)CrossRef
5.
Tang, T.Q., Li, J.G., Huang, H.J., Yang, X.B.: A car-following model with real-time road conditions and numerical tests. Measurement. 48(48), 63–76 (2014)CrossRef
6.
Przybyla, J., Taylor, J., Jupe, J., Zhou, X.: Estimating risk effects of driving distraction: a dynamic errorable car-following model. Transp. Res. Part C: Emerging Technologies. 50, 117–129 (2015)CrossRef
7.
Kendziorra, A., Wagner, P., Toledo, T.: A stochastic Car following model. Transp. Res. Proc. 15, 198–207 (2016)
8.
Li, L., Chen, X.Q., Zhang, L.: A global optimization algorithm for trajectory data based car-following model calibration. Transp. Res. Part C: Emerging Technologies. 68, 311–332 (2016)CrossRef
9.
Wang, J., Rakha, H.A., Fadhloun, K.: Validation of the Rakha-Pasumarthy-Adjerid car-following model for vehicle fuel consumption and emission estimation applications. Transp. Res. Part D: Transport & Environment. 55, 246–261 (2017)CrossRef
10.
Du, W. J., Li, Y. Z., Zhang, J. G., Yu, J. N.: Stability analysis of a general nonlinear car-following model. Int. J. Control. 93(6), 1461–1469 (2020)
11.
Sun, D. H., Li, Y. F., Tian, C.: Car-following model based on the information of multiple ahead & velocity difference. Syst. Eng.-Theory Pract. 30(7): 1326-1332(2010)
12.
Orosz, G., Krauskopf, B., Wilson, R.E.: Bifurcations and multiple traffic jams in a car-following model with reaction-time delay. Physica D: Nonlinear Phenomena. 211(3), 277–293 (2004)MathSciNetMATH
13.
Xia, D.X., Li, C.G.: Hydrodynamic model for two-lane traffic flow considering the information of multi-vehicles ahead and lateral vehicles. Syst. Eng.-Theory Pract. 32(7), 1562–1567 (2012)
14.
Yu, S., Shi, Z.: An extended car-following model considering vehicular gap fluctuation. Measurement. 70, 137–147 (2015)CrossRef
15.
Zhai, C., Wu, W.: A new car-following model considering driver’s characteristics and traffic jerk. Nonlinear Dyn. 3, 1–15 (2018)
16.
Qin, Y.Y., Wang, H., Ran, B.: Car-following model of connected and autonomous vehicles considering multiple feedbacks. J. Transp. Syst. Eng. Inform. Technol. 18(3), 48–54 (2018)
17.
Tang tieqiao, Li chuanyao, Huang Haijun, et al.: An extended optimal velocity model with consideration of honk effect. Commun. Theor. Phys. 54(12), 1151–1155 (2010)MATH
18.
Wen, H., Rong, Y., Zeng, C., Qi, W.: The effect of driver’s characteristics on the stability of traffic flow under honk environment. Nonlinear Dyn. 84(3), 1517–1528 (2016)CrossRef
19.
Kuang, H., Xu, Z.P., Li, X.L., Lo, S.M.: An extended car-following model accounting for the honk effect and numerical tests. Nonlinear Dyn. 87(1), 149–157 (2017)CrossRef
20.
Kuang, H., Xu, Z.P., Li, X.L., Lo, S.M.: An extended car-following model accounting for the average headway effect in intelligent transportation system. Physica A: Statistical Mechanics and its Applications. 471, 778–787 (2017)MathSciNetCrossRef
21.
Arenas, A., Díaz-Guilera, A., Kurths, J., Moreno, Y., Zhou, C.: Synchronization in complex networks. Phys. Rep. 469(3), 93–153 (2008)MathSciNetCrossRef
22.
Tang, H., Chen, L., Lu, J., Tse, C.K.: Adaptive synchronization between two complex networks with nonidentical topological structures. Physica A: Statistical Mechanics and its Applications. 387(22), 5623–5630 (2008)CrossRef
23.
Jiang, S., Cai, G., Cai, S., Tian, L., Lu, X.: Adaptive cluster general projective synchronization of complex dynamic networks in finite time. Commun. Nonlinear Sci. Numer. Simul. 28(1), 194–200 (2015)MathSciNetCrossRef
24.
Li, K., Sun, W., Small, M., Fu, X.: Practical synchronization on complex dynamical networks via optimal pinning control. Phys. Rev. E. 92(1), 010903 (2015)MathSciNetCrossRef
25.
Wang, Y., Li, T.: Synchronization of fractional order complex dynamical networks. Physica A: Statistical Mechanics and its Applications. 428, 1–12 (2015)MathSciNetCrossRef
26.
Jian-Rui, C., Li-Cheng, J., Jian-She, W., Xiao-Hua, W.: Adaptive synchronization between two different complex networks with time-varying delay coupling. Chin. Phys. Lett. 26(6), 060505 (2009)CrossRef
27.
Sun, M., Zeng, C., Tian, L.: Linear generalized synchronization between two complex networks. Commun. Nonlinear Sci. Numer. Simul. 15(8), 2162–2167 (2010)MathSciNetCrossRef
28.
Shen, D., Li, J.H., Xiong, J.S., et al.: A cascading failure model of double layer complex networks based on betweenness. Compl. Syst. Compl. Sci. 11(3), 12–18 (2014)
29.
Yu, K., Rong, L. L., Wang, J. W.: A new attack on scale-free networks based on cascading failures. Mod. Phys. Lett. B. 23(20), 2497-2505(2009)
30.
Ma, J., Han, W., Guo, Q., Zhang, S., Wang, J., Wang, Z.: Improved efficient routing strategy on two-layer complex networks. International Journal of Modern Physics C. 27(04), 1650044 (2016)CrossRef
31.
Tang, T.Q., Li, C.Y., Wu, Y.H., Huang, H.J.: Impact of the honk effect on the stability of traffic flow. Physica A: Statistical Mechanics and its Applications. 390(20), 3362–3368 (2011)CrossRef
Metadaten
Titel
Stability Analysis and Control of an Extended Car-Following Model under Honk Environment
verfasst von
Wenju Du
Yinzhen Li
Jiangang Zhang
Publikationsdatum
03.09.2021
Verlag
Springer US
Erschienen in
International Journal of Intelligent Transportation Systems Research / Ausgabe 1/2022
Print ISSN: 1348-8503
Elektronische ISSN: 1868-8659
DOI
https://doi.org/10.1007/s13177-021-00267-0

Weitere Artikel der Ausgabe 1/2022

Factors Influencing the Accuracy of Directional Traffic Volume Estimation at Signalized Interaction Using Bluetooth MAC Address

Correction to: Comparison of Proactive Braking Intervention System Acceptability via Field Operation Tests in Different Regions

  • Correction

Platoon-Based Impact Assessment of Heavy-Duty Vehicles on Traffic Stream Characteristics of Highway Lanes Under Mixed Traffic Environment

Real-Time Distraction Detection from Driving Data Based Personal Driving Model Using Deep Learning

Trip Purpose Inference Based on the Relationship between Route Search Records and Regional Characteristics

Development of Artificial Intelligence-based Bicycle Level of Service Models for Urban Street Segments

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise