基于预期信息的扩展车辆跟随模型中交通流稳定性的增强

2010 International Conference on Logistics Engineering and Intelligent Transportation Systems Pub Date : 2010-12-10 DOI:10.1109/LEITS.2010.5665042

Xi Chen, Dong-fan Xie

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引用次数: 1

摘要

通过引入车辆间的预期信息，提出了一种扩展的车辆跟随模型。利用线性稳定性理论得到了模型的稳定性条件。结果表明，预测信息能促进交通流的稳定性。进行了数值模拟，结果与理论计算结果一致。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Enhance Stability of Traffic Flow in an Extended Car-Following Model Based on Anticipative Information

An extended car-following model is proposed by incorporating the anticipative information by vehicle to vehicle. The stability condition of the proposed model is obtained by using the linear stability theory. The results show that the anticipative information can promote the stability of traffic flow. Numerical simulations are carried out, and the results are consonant with the theory ones.

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2010 International Conference on Logistics Engineering and Intelligent Transportation Systems

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