Semantic Scholar Open Access 2022 55 sitasi

A microscopic traffic flow model for sharing information from a vehicle to vehicle by considering system time delay effect

Md Anowar Hossain J. Tanimoto

Lihat Sumber DOI

Abstrak

Abstract In this study, we propose an information-sharing traffic flow model by considering multiple preceding cars and system time delay effect to reproduce a more likely flow field given the dissemination of intelligent transportation systems with wireless communication. The flow field would be robustly stable and efficient if the information on each vehicle’s dynamics could be shared without time delay. However, a realistic situation inevitably entails some time delay, resulting from mechanical and control systems. The proposed model is validated by the neutral stability condition through linear stability theory, thus confirming that the proposed model substantially increases the stability of a traffic flow field compared with the conventional full velocity difference model (optimal velocity model). The modified Korteweg–de Vries equation is derived and analyzed for nonlinear analysis. A numerical simulation is also conducted to justify the proposed model.

Topik & Kata Kunci

Computer Science

Penulis (2)

Md Anowar Hossain

J. Tanimoto

Format Sitasi

APA MLA BibTeX

Hossain, M.A., Tanimoto, J. (2022). A microscopic traffic flow model for sharing information from a vehicle to vehicle by considering system time delay effect. https://doi.org/10.1016/j.physa.2021.126437

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.physa.2021.126437

Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Total Sitasi: 55×
Sumber Database: Semantic Scholar
DOI: 10.1016/j.physa.2021.126437
Akses: Open Access ✓