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— Presentation at ACM SIGSPATIAL 2015 —
December 3, 2015
International Conference ACM SIGSPATIAL 2015 was held at Bellevue, WA, US from Nov. 2nd 2015 to Nov. 7th 2015. The conference, which is highly competitive (the acceptance rate was 17.5%), is one of the top conferences focused on technologies for spatial information systems such as spatio-temporal data retrieval. The author presented our research relevant to bigdata analysis of LiDAR-based pedestrian-tracking data.
Fig. 3 Knowledge given by Big Data analysis of
HIF2013 pedestrian-flow data
We conducted an experiment for improving pedestrian flow in a yearly technical exhibition event hosted by Hitachi, named Hitachi Innovation Forum (renamed as "Hitachi Social Innovation Forum" in 2015). Pedestrian flow in Hitachi Innovation Forum in 2013 (HIF2013) was measured with a LiDAR-based pedestrian-tracking system. The data obtained by the measurement was analyzed to improve the Hitachi Innovation Forum in 2014 (HIF2014). The results of the experiment were presented at the conference as "LiDAR-based Pedestrian-flow Analysis for Crowdedness Equalization".
As the result of the analysis of HIF2013 data, it was discovered that pedestrians walking monotonously were NOT attracted to booths. Generally speaking, layout plan of an exhibition is designed to make pedestrian flow smooth not to make crowded places; however, such smooth pedestrian flow made pedestrians converge to a few places in HIF2013 and caused highly crowded places. HIF2014 layout, thus, was designed to include obstruction of walls to make the pedestrian flow diverge. We experimentally confirmed that crowdedness at HIF2014 was more equalized than that at HIF2013.
As shown above, LiDAR-based pedestrian-flow tracking system is useful for improving layout. This technology is now applied to human behavior service business. We, Research & Development Group's Center for Technology Innovation - Systems Engineering, will develop new technologies to create more valuable applications of pedestrian-flow tracking systems.
(By ASAHARA Akinori)