Abstract
Scholars from various countries have done a lot of research on predicting the dwell time of buses at stations, however, the passenger boarding time is hard to accurately predicted. Through field investigation, we found that passenger boarding time is not only influenced by external facilities, but also closely related to the number and distribution of passengers on the bus. Therefore, this article analyzes the passenger distribution law in the bus, and finds out the impact of passenger distribution in different areas of the bus on passenger boarding time through theoretical analysis. Secondly, we establish a cellular automata evolution model, which selects attraction and competitiveness as the driving force of passengers based on their motion characteristics. The simulation results prove that the model can exhibit the actual passenger distribution and movement preferences in the bus, and actually predict the boarding time of passengers in different scenarios.
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