基于改进TTR算法的车辆侧翻预警研究

中国机械工程

基于改进TTR算法的车辆侧翻预警研究

褚端峰1,2;崔剑1,2;邓泽健1,2;田飞1,2;吴超仲1,2

1.武汉理工大学，武汉,430063
2.水路公路交通安全控制与装备教育部工程研究中心，武汉,430063

出版日期:2016-06-10 发布日期:2016-06-08
基金资助:
国家科技支撑计划资助项目（2014BAG01B03）；车路协同与安全控制北京市重点实验室开放基金资助项目

Research on Vehicular Rollover Warning Based on Improved TTR Algorithm

Chu Duanfeng1,2; Cui Jian1,2;Deng Zejian1,2;Tian Fei1,2;Wu Chaozhong1,2

1.Wuhan University of Technology，Wuhan， 430063
2.Engineering Research Center for Transportation Safety,Ministry of Education,Wuhan， 430063

Online:2016-06-10 Published:2016-06-08
Supported by:

摘要/Abstract

摘要： 侧翻时限(TTR)能有效用于车辆侧翻预警，然而传统的TTR方法所选定的侧翻阈值因行车条件的改变难以精确设定，会导致预警提前或滞后等问题。为了弥补传统TTR算法的不足，提高车辆侧翻预警的有效性，建立了三自由度车辆动力学模型；提出了以车辆的当前侧向加速度与实时侧向极限加速度的比值这一相对量作为侧翻评价指标，替代传统依靠侧倾角或侧向加速度等绝对量来进行侧翻预测；根据当前车辆运动状态计算未来发生侧翻时的TTR值，从而得到改进TTR侧翻预警算法。结果表明：改进TTR侧翻预警算法较传统基于侧倾角或侧向加速度的这两种TTR侧翻预警算法，能更准确地发现侧翻危险。

关键词: 侧翻预警, 改进侧翻时限, 车辆动力学, 侧向极限加速度

Abstract: The TTR method might realize vehicle rollover warning, but there existed some problems（i.e. premature warning, hysteretic warning), because rollover threshold was difficult to precisely set up due to changing traffic conditions. In order to improve the traditional TTR method and the effectiveness of vehicle rollover warning, three degrees of freedom of vehicle dynamics model was established. A rollover evaluation index was proposed by using the relative value, i.e. ratio of immediate lateral acceleration to the real time lateral limit acceleration, instead of absolute value such as roll angle or lateral acceleration for rollover warning. According to the current vehicle dynamic states, TTR value in the forthcoming was calculated in real time. Finally, based on the improved TTR, the criticality of rollover threat in the forthcoming was predicted, and the vehicle rollover warning was achieved. The results show that comparing with two traditional TTR rollover warning algorithms, the improved TTR rollover warning algorithm may be used to predict rollover more precisely.

Key words: rollover warning, improved time to rollover(TTR), vehicle dynamics, limiting lateral acceleration

中图分类号:

U461.91

褚端峰, 崔剑, 邓泽健, 田飞, 吴超仲, . 基于改进TTR算法的车辆侧翻预警研究[J]. 中国机械工程.

Chu Duanfeng, Cui Jian, Deng Zejian, Tian Fei, Wu Chaozhong, . Research on Vehicular Rollover Warning Based on Improved TTR Algorithm[J]. China Mechanical Engineering.

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