Vehicle trajectory map-matching method based on improved multi-weight theory

Yi Yuan; Guangwu Chen

doi:10.1117/12.2620161

22 December 2021 Vehicle trajectory map-matching method based on improved multi-weight theory

Yi Yuan, Guangwu Chen

Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 120582F (2021) https://doi.org/10.1117/12.2620161
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China

Abstract

In order to improve the accuracy and time efficiency of the vehicle trajectory map-matching method, this paper makes improvements to the traditional vehicle trajectory matching method based on fixed weight factors. In the calculation of the buffer retrieval radius, combined with the vehicle speed, the retrieval area is adjusted in real time to avoid the range Excessively large repetitive search and too small scope can lead to missing search problems, thereby improving the search efficiency and accuracy of candidate road sections. At the same time, the redundant point and outlier information can be identified and eliminated in time, which can improve the time efficiency of the algorithm to a certain extent. On the basis of traditional fixed weights, considering the effect of vehicle speed on the heading angle deviation, an empirical factor is set for adjustment to improve the overall matching accuracy, and finally a comparison experiment is set for verification. The experimental results show that the vehicle trajectory map-matching algorithm proposed in this paper has a significant improvement in matching accuracy, and it also has good matching performance in special road sections such as intersections.

Citation Download Citation

Yi Yuan and Guangwu Chen "Vehicle trajectory map-matching method based on improved multi-weight theory", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 120582F (22 December 2021); https://doi.org/10.1117/12.2620161

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KEYWORDS

Roads

Satellite navigation systems

Receivers

Navigation systems

Global Positioning System

Visualization

Algorithms

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