OD Matrix Acquisition Based on Intersection as Origin-Destination
DOI:
https://doi.org/10.63313/AERpc.9009Keywords:
OD matrix, STL, Origin, DestinationAbstract
OD (Origin-Destination, OD) matrix as a core tool for traffic analysis, its accu-racy and real-time performance directly affect the effectiveness of traffic man-agement strategies. The study explores the division of traffic allocation areas based on intersection nodes to extract the OD matrix of intersections so that it can be used as a comparison of the accuracy of OD results with other models.
References
[1] Han L, Ma X, Sun L, et al. Continuous-time and multi-level graph representation learning for origin-destination demand prediction[C]//Proceedings of the 28th ACM SIGKDD Confer-ence on Knowledge Discovery and Data Mining. 2022: 516-524.
[2] Wang R, Guo Q, Dai S, et al. An OD time prediction model based on adaptive graph embed-ding[J]. Physica A: Statistical Mechanics and its Applications, 2025, 657: 130217.
[3] Cleveland R B, Cleveland W S, McRae J E, et al. STL: A seasonal-trend decomposition[J]. J. off. Stat, 1990, 6(1): 3-73.
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