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车队认知能力增强的通信区块间隙优化方法
引用本文:陈俊杰,上官伟,蔡伯根,王剑,柴琳果.车队认知能力增强的通信区块间隙优化方法[J].中国公路学报,2019,32(6):283-292.
作者姓名:陈俊杰  上官伟  蔡伯根  王剑  柴琳果
作者单位:1. 北京交通大学 电子信息工程学院, 北京 100044;2. 北京交通大学 北京市轨道交通电磁兼容与卫星导航工程技术研究中心, 北京 100044;3. 北京交通大学 轨道交通控制与安全国家重点实验室, 北京 100044
基金项目:国家重点研发计划项目(2018YFB1600600);中央高校基本科研业务费专项资金项目(2018YJS019);中国民用航空局重大专项项目(201501);国家自然科学基金项目(61773049)
摘    要:为了在单车超越车队的过程中缩短超车车辆与车队间通信范围,减少车队通信压力,锁定影响车辆入队的关键车队区块,同时通过将待进入关键区块的车队进行间隙优化调整,为驾驶人提供定制化换道入队引导服务,提出了基于驾驶人超车风格特征参数的车队内信息传输关键区块锁定算法,通过分析影响驾驶人换道入队位置范围的关键因素,将驾驶人换道入队过程分为本车道速度调整过程与入队速度调整过程,利用非参数贝叶斯算法获取驾驶人超车换道特征数据并提出基于关键区块所在车队位置序列的车辆间隙优化调整策略。研究结果表明:超车车辆加速度、与前车预计碰撞时间、与车队相对速度是影响驾驶人换道入队范围的关键因素;通过非参数贝叶斯算法将超车车辆运行数据分类获取的驾驶人换道入队驾驶操作基元,可准确提供驾驶人行为特征关键参数;通过将驾驶人换道特征分为48个子类型,可锁定驾驶人换道入队范围且车队关键区块范围随着超车车辆与车队速度差值不同在各个特征类型上呈现不同变化趋势;针对驾驶人入队特征对待进入车队关键区块的车辆间隙进行优化调整,不仅可以为驾驶人提供可接受的驾驶辅助信息,同时减少了车队间隙产生过程中车辆加速度范围,提升了车队运行的舒适性。

关 键 词:交通工程  车队通信关键区块  非参数贝叶斯  间隙优化  超车行为  
收稿时间:2019-03-24

Communication Block Slot Optimization Method Based on Intelligent Vehicle Platoon Cognitive Ability Enhancement
CHEN Jun-jie,SHANGGUAN Wei,CAI Bo-gen,WANG Jian,CHAI Lin-guo.Communication Block Slot Optimization Method Based on Intelligent Vehicle Platoon Cognitive Ability Enhancement[J].China Journal of Highway and Transport,2019,32(6):283-292.
Authors:CHEN Jun-jie  SHANGGUAN Wei  CAI Bo-gen  WANG Jian  CHAI Lin-guo
Institution:1. School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China;2. Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, Beijing Jiaotong University, Beijing 100044, China;3. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
Abstract:To shorten the communication range between an overtaking vehicle and a platoon, this study proposed a communication block locked algorithm based on the characteristics of a driver's overtaking style. With the communication block locked, the slot in the platoon can be optimized according to the driver's overtaking style. The advantage driver assistant system can then provide the appropriate information to the driver. To obtain the critical factors that affect the range of lane changing, this study divided the lane-changing process into two parts:a velocity adjustment process for the time to collision with the preceding vehicle in the same lane and a velocity adjustment process for lane changing. A process of extracting the overtaking characteristic data using the nonparametric Bayes method and an optimized slot strategy based on the block vehicle ID sequence were also proposed in this paper. The simulation results show that the major factors affecting the driver's lane change are the estimated collision time between the overtaking and preceding vehicles, the acceleration of the overtaking vehicle, and the relative velocity of the vehicle and platoon. The driving primitive, which is extracted using the nonparametric Bayes method and then used to classify the raw data, can provide the characteristic parameters of driving behavior. The communication block can be locked by dividing the driving data into 48 styles, and the range of the communication block of the platoon shows different trends according to various driving types with different relative velocities between the overtaking vehicles and platoon. Optimizing the slot in the probationary communication block according to the driver's overtaking characteristics not only can provide the driver with the proper driving assistance information but can also reduce the vehicle acceleration range during the slot generation process. In addition, the comfort of the platoon is improved.
Keywords:traffic engineering  communication block in the platoon  nonparametric bayes  slot optimization  overtaking behavior  
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