车辆轨迹重构方法综述

A Review of Vehicle Trajectory Reconstruction Methods

车辆的轨迹数据具有丰富的时空信息,在宏观交通参数估计、交通管理与分析决策等方面都有广泛的应用.但实际中完整的车辆轨迹很难获得,因此研究者在过去20年中,对采取线圈和浮动车等数据重构出车辆轨迹信息进行了大量研究.随着这一技术的逐渐成熟,本文对之进行了综述,首先介绍了各类方法的理论基础和适用性,然后讨论了估计轨迹的评估方式,最后介绍了相关应用,并分析了轨迹重构方法的发展趋势.

The vehicle trajectory data has abundant spatio-temporal information, which is widely used in macroscopic traffic parameter estimation, traffic management, analysis and decision making. However, complete vehicle trajectories are difficult to obtain in practice, so researchers have conductedlots of research on reconstructing vehicle trajectories in the past two decades using data from inductive loops, floating cars, etc. This paper provides a review of trajectory reconstruction with the maturity of technology in this field. We first introduce the theory and applicability of various methods, and then discuss the evaluation of trajectory reconstruction. Finally, we introduce the related applications and analyze the trend of trajectory reconstruction methods.