Szczegóły publikacji
Opis bibliograficzny
An extended social force model incorporating group attraction for bicycle group dynamics: simulation and experimental validation / Yingxu Rui, Sijia Li, Peng MEI, Peng Liao, Jian Zhang, Tao Wang // Simulation Modelling Practice and Theory : International Journal of the Federation of European Simulation Societies ; ISSN 1569-190X . — 2026 — vol. 149 art. no. 103273, s. 1–16. — Bibliogr. s. 16, Abstr. — Publikacja dostępna online od: 2026-03-02. — P. Mei - dod. afiliacja: Department of Mechanical Engineering, Politecnico di Milano, Italy
Autorzy (6)
- Rui Yingxu
- Li Sijia
- AGHMei Peng
- Liao Peng
- Zhang Jian
- Wang Tao
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 166553 |
|---|---|
| Data dodania do BaDAP | 2026-03-17 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.simpat.2026.103273 |
| Rok publikacji | 2026 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Simulation Modelling Practice and Theory |
Abstract
The promotion of sustainable mobility and the rise of bike-sharing have drawn researchers’ focus to the study on bicycle flows. In bicycle traffic, group riding behavior is highly prevalent, inducing heterogeneous patterns in bicycle flow and consequently influencing the macroscopic characteristics of traffic flow. Specifically, group riding behavior promotes local clustering aggregation within the traffic flow, which reduce the overall traffic efficiency and induce complex self-organizing phenomena. To describe the characteristics of bicycle flow, we developed a social force model that captures the nuances of group attraction and non-group repulsion forces, and we calibrated the model with empirical experiments. The model captures behavioral differences among riders in different group types and establishes an improved social force framework that accounts for group effects. Numerical simulations on circular lanes evaluate the impact of various group factors on the bicycle flow. Results indicate that shoulder group cycling introduces movement obstacles and lateral oscillations, intensifying congestion under high arrival rates. The following group cycling enhances the average speed and stability of trailing bicycles, yielding a slight positive effect on overall flow. These findings provide transportation planners with valuable insights into the physical dynamics governing bicycle traffic flow.
