Focused on low accuracy in vehicle trajectory matching and traffic flow data errors,when low-frequency collection approach was used during the survey of urban road traffic flow and traffic data collection of particularly at critical road network nodes.A vehicle trajectory reconstruction method was proposed based on the study of the hidden Markov theory and the minimum cost maximum flow model.Using multi-source data fusion technology and geographic information positioning matching technology,the missing traffic basic data of the non-detector road section were reasonably estimated to provide important data support for the research of vehicle trajectory reconstruction.Then,a high-frequency trajectory point dataset of taxi vehicles in a specific region of Chengdu City was employed to validate the effectiveness of this method.The results demonstrate that the complete coverage rate of trajectory reconstruction using low-frequency vehicle trajectory points reaches 89.4％,confirming the method's efficacy and practicality.
关键词
车辆低频轨迹数据集/最小费用最大流/多源数据融合/轨迹重构
Key words
vehicle low-frequency trajectory dataset/minimum cost maximum flow/multi-source data fusion/trajectory reconstruction
维普
万方数据