Comparing three types of real-time data collection techniques:counting cameras, Wi-Fi sensors and GPS trackers
Nowadays, many large scale events are organised in urban areas that are not designed to accommodate these large visitor flows, as not only the sheer number of people is larger than anticipated, but also their behaviour is different.For a timely deployment of crowd management measures, continuous information on the realtime traffic state on the event terrain is necessary.In this paper, we focus on local and global real-time measurements, collected during the SAIL Amsterdam event using counting cameras, Wi-Fi sensors and GPS trackers.The counting cameras gave accurate local counts, but did not have route information.The latter was given by Wi-Fi sensors and GPS trackers.However, the penetration rate for Wi-Fi sensors was low, so to get accurate data these sensors can only be used with large visitor numbers.GPS trackers gave detailed, but not continuous information.Based on the joint data sources, counts, travel times, density and flow are estimated.This way, we could provide the real-time information necessary for crowd management.
Real-time crowd monitoring Counting camera Wi-Fi sensor GPS tracker Travel time Density Flows
Daamen Winnie Yuan Yufei Duives Dorine Hoogendoorn Serge
Delft University of Technology, Department of Transport & Planning Stevinweg 1, 2628CN Delft, The Netherlands
国际会议
The 8th International Conference on Pedestrian and Evacuation Dynamics (第八届行人与疏散动力学国际学术会议)
合肥
英文
568-574
2016-10-17（万方平台首次上网日期，不代表论文的发表时间）