Searched for: subject%3A%22Mass%255C%2Bevents%22
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Godoy, Paula (author)
Predicting crowd movements in real-time during mass events has been shown to be a complex yet valuable task in order to reduce the risk of overcrowding. The aim of this research is to propose and validate a crowd movement forecasting method for which simulation is performed offline (i.e. prior to the event) but the forecast is done online, in...
master thesis 2020
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Duives, D.C. (author), van Oijen, T.P. (author), Hoogendoorn, S.P. (author)
Crowd monitoring systems (CMSs) provide a state-of-the-art solution to manage crowds objectively. Most crowd monitoring systems feature one type of sensor, which severely limits the insights one can simultaneously gather regarding the crowd’s traffic state. Incorporating multiple functionally complementary sensor types is expensive. CMSs are...
journal article 2020
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Zuurbier, Elise (author)
At mass events, pedestrians can experience the level of crowdedness as unsafe, unpleasant and stressful. To gain a better understanding of perceived crowdedness, the effects of personal, trip and event characteristics at an event are researched. Data collection was performed by a simultaneous survey and monitoring study at the TT Festival in...
master thesis 2019
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Galama, I.M. (author)
This master thesis analysed the route choice behaviour at the mass event SAIL Amsterdam 2015. Both stated preference [SP] (online survey) and revealed preference [RP] (GPS-trackers) data was collected, to gain more insight into the behaviour of pedestrians. Attributes of influence on the route choices are researched on the one hand. On the other...
master thesis 2016
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Wieringa, S.H.P. (author)
Mass events are becoming more popular worldwide, with rising visitor numbers as an effect. The accommodation of larger crowds in the public urban space is not met with the available road capacity. The question is how to maintain crowd safety while continuing to organize massive festivities in the public urban space. Therefore, research has been...
master thesis 2015
Searched for: subject%3A%22Mass%255C%2Bevents%22
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