The collection of active agents often exhibits intriguing statistical and dynamical properties, particularly when consid-
ering human crowds. In this study, we have developed a computational model to simulate the recent experiment on real
marathon races by Bain et al., [Science 363, 46–49 (2019)]. Our primary goal is to investigate the impact of race staff
on crowd dynamics. By comparing simulated races with and without the presence of race staff, our study reveals that
the local velocity and density of participants display a wave pattern akin to real races for both the cases. The observed
traveling wave in the crowd consistently propagates at a constant speed, regardless of the system size under consid-
eration. The participants’ dynamics in the longitudinal direction primarily contribute to velocity fluctuations, while
fluctuations in the transverse direction are suppressed. In the absence of race staff, density and velocity fluctuations
weaken without significantly affecting other statistical and dynamic characteristics of the crowd. Through this research,
we aim to deepen our understanding of crowd motion, providing insights that can inform the development of effective
crowd management strategies and contribute to the successful control of such events.