Academic Journal of Computing & Information Science, 2026, 9(2); doi: 10.25236/AJCIS.2026.090208.
Zhang Xuxin1, Lei Kefan2
1School of Traffic and Logistics, Southwest Jiaotong University, Chengdu, China
2Chengdu Institute of Planning & Design, Chengdu, China
This study uses conventional bus trip data inferred from the intelligent transit system in the central urban area of Chengdu as the population dataset. Multiple random sampling experiments were conducted under different sampling rates. The impacts of sampling rate on the validity of OD matrix estimation were analyzed using two evaluation indicators: the Relative Error (RE) of Mean Travel Time (MTT) and the goodness-of-fit of the trip time distribution curve. Furthermore, the influence of traffic zone numbers on estimation performance under each sampling rate was investigated. Results show that sampling rate is positively correlated with the validity of OD matrix estimation. When the sampling rate reaches the minimum effective threshold, the estimation results begin to satisfy practical application requirements, and further increases in sampling rate lead to diminishing marginal improvements in validity. Under fixed sampling rates, traffic zone numbers are negatively correlated with estimation validity. Therefore, when sampling rates cannot be increased due to practical constraints, reducing the number of traffic zones appropriately can improve gravity model calibration accuracy and ensure that OD estimation results meet predefined validity requirements.
travel surveys; gravity model; AFC data; traffic zones
Zhang Xuxin, Lei Kefan. Impact of Sampling Rate and Traffic Zone Numbers on the Validity of Public Transit OD Matrix Estimation in Travel Surveys. Academic Journal of Computing & Information Science (2026), Vol. 9, Issue 2: 54-60. https://doi.org/10.25236/AJCIS.2026.090208.
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