Vehicle Trajectory Extraction Method Research for Intersection Bayonet Data

摘要

In order to extract the vehicle trajectory on the urban road network and provide data basis and technical support for analyzing the balance of supply and demand of urban traffic, the method to extract the vehicle trajectory which is based on intersection bayonet data will be constructed. Firstly, the daily travel trajectory of the vehicle can be obtained by using the data of intersection bayonet and the method of license plate grouping and time order sorting. Secondly, considering the relationship between link travel time and the vehicle to achieve the separation of the vehicle trajectory chain. Finally, the decision indicator of high-grade road proportion will be used to improve the TOPSIS method, and the approach based on the TOPSIS method will be built to reconstruct vehicle trajectory and infer the trajectory of the lost point which is generated by the heuristic depth-first directional algorithm. The paper chooses Suning County in China as an example to verify the reliability of the above approach. Moreover, it is found that the approach can effectively achieve the extraction, separation, and reconstruction of the vehicle trajectory.