This paper attempts to study the use of multiple historical speed information of the target vehicle as an auxiliary control strategy for vehicle power output, which is different from other single-data self-stability control modes. We separately study the different weight distributions of historical data with using data completely recorded and part of the using data randomly lost. Then we compare the different coefficient distributions, and find that considering the reversed Poisson distribution of data in driving with complete data recorded is more beneficial to the stability of traffic flow than other distributions, but the traffic flow stability is most easily affected after the data is lost during driving operation. Furthermore, we try to fill the lost data with the remaining recorded data in the case of long-term defects in the use of data, trying to make up for the lack of reversed Poisson weight distribution.

本文试图研究使用目标车辆的多个历史速度信息作为车辆功率输出的辅助控制策略，这与其他单数据自稳定控制模式不同。我们分别使用完整记录的数据和部分随机丢失的使用数据来研究历史数据的不同权重分布。然后，我们比较了不同的系数分布，发现考虑到具有完整记录数据的行驶中数据的反向泊松分布，比其他分布更有利于交通流的稳定性，但是在数据被处理后，交通流的稳定性最容易受到影响。在驾驶过程中迷路。此外，如果数据使用存在长期缺陷，我们会尝试用剩余的记录数据填充丢失的数据，