journal article·2024-10-01Open access

An extended social force model for the dynamics of electric bicycles in isolated non-motorized lanes

Ming Li, Jizhou Liu

AIP Advances· Volume 14· Issue 10

Abstract

This study proposes a model for simulating the dynamics of electric bicycle flow in isolated non-motorized lanes. The model is an extension of the conventional social force model with an additional rotational degree of freedom that describes the steering angle of electric bicycles. In this model, two corrective relaxation terms are included in the driving force for the rotational degree of freedom: one on the steering angle and another on the angular velocity. Stability analysis shows that an appropriate amount of correction on the angular velocity helps to avoid oscillation and overshoots of the turning angle. The proposed model is validated both macroscopically and microscopically, and the agreement of the simulated fundamental diagram with that in the literature demonstrates the rationality of the model in characterizing the collective motions of electric bicycles. Comparison of simulated and observed trajectories confirms that the proposed model could reproduce electric bicycle motions with a certain accuracy at the microscopic level. Finally, predictions based on the validated model are provided. According to the simulation results, congestion starts to occur when the inlet flow rate of the lane reaches 1500–1750 ebike/h/m. For a mixed configuration, the maximum allowed flow rate in the lane is 2350–2400 ebike/h/m, and this value depends on the proportion of fast electric bicycles and the riding style in the flow.
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Research context

OpenAlex topics: Evacuation and Crowd Dynamics · Traffic control and management · Transportation Planning and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Transportation Engineering, Shandong Jianzhu University 1 , Jinan 25101,

School of Thermal Engineering, Shandong Jianzhu University 2 , Jinan 25101,

Funding

Natural Science Foundation of Shandong Province China

References (25)

Show source-provided references
1. Sales volume of electric bicycle in Europe from 2016 to 2021, Statista
2. U.S. bicycle industry statistics and facts, Statista
3. The social ownership of electric bicycles in China is close to 300 million vehicles, The State Council of People's Republic of China, (in Chinese)
4. Sales volume of electric two-wheelers across India from financial year 2019 to 2023, Statista
5. The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory10.1016/0191-2615(94)90002-7 ↗
6. Congested traffic states in empirical observations and microscopic simulations10.1103/physreve.62.1805 ↗
7. A macroscopic model with the advantages of microscopic model: A review of cell transmission model’s extensions for urban traffic networks10.1016/j.simpat.2018.05.003 ↗
8. Physics-augmented models to simulate commercial adaptive cruise control (ACC) systems10.1016/j.trc.2022.103692 ↗
9. An eco-driving system for electric vehicles with signal control under V2X environment10.1016/j.trc.2018.06.002 ↗
10. Social force model for pedestrian dynamics10.1103/physreve.51.4282 ↗
11. Simulating dynamical features of escape panic10.1038/35035023 ↗
12. Specification of the social force pedestrian model by evolutionary adjustment to video tracking data10.1142/S0219525907001355 ↗
13. The walking behaviour of pedestrian social group and its impact in crowd dynamics10.1371/journal.pone.0010047 ↗
14. Psychological-Physical force model for bicycle dynamics10.1016/S1570-6672(11)60197-9 ↗
15. Modelling of electric bicycle behavior in unidirectional flow based on social force model10.16097/j.cnki.1009-6744.2022.05.023 ↗
16. A modified social force model for high-density through bicycle flow at mixed-traffic intersections10.1016/j.simpat.2020.102265 ↗
17. Modeling and simulation for non-motorized vehicle flow on road based on modified Social Force Model10.3390/math11010170 ↗
18. Modelling and simulation of the heterogeneous non-motor traffic flow on physically separated bicycle roadways in China
19. Modeling the lane-changing behavior of non-motorized vehicles on road segments via social force model10.1016/j.physa.2023.129415 ↗
20. A multi-layer social force approach to model interactions in shared spaces using collision prediction
21. A modified social force model for studying nonlinear dynamics of pedestrian-e-bike mixed flow at a signalized crosswalk10.1016/j.chaos.2023.113813 ↗
22. A modified social force model for pedestrian-bicycle mixed flows and its application on evaluating the conflict risk in shared roads10.1016/j.physa.2024.129788 ↗
23. Modelling mixed traffic flow at signalized intersection using social force model10.11175/easts.10.1734 ↗
24. Safety Technical Specification for Electric Bicycle (GB17761-2018), Ministry of Industry and Information Technology of China, available online: https://www.miit.gov.cn/jgsj/kjs/jscx/bzgf/art/2020/art_bea4e2e4501043a9961b942eaac4ddfb.html (accessed 26 May 2024).
25. Video of electric bicycle flow (top view) on a segment of Shiji Avenue, Jinan, China at (117°19′E, 36°69′N) 7″ (22/05/2024)