ISPRS International Journal of Geo-Information | |
Walk This Way: Improving Pedestrian Agent-Based Models through Scene Activity Analysis | |
Andrew Crooks3  Arie Croitoru4  Xu Lu4  Sarah Wise1  John M. Irvine2  Anthony Stefanidis4  Phaedon Kyriakidis5  | |
[1] Department of Civil, Environmental & Geomatic Engineering, University College London, Gower Street, London WC1E 6BT, UK; E-Mail:;Draper Laboratory, 55 Technology Square, Cambridge, MA 02139, USA; E-Mail:;Computational Social Science Program, George Mason University, 4400 University Drive, MS 6B2, Fairfax, VA 22030, USA;Department of Geography and Geoinformation Science, Center for Geospatial Intelligence, George Mason University, 4400 University Drive, MS 6C3, Fairfax, VA 22030, USA; E-Mails:;id="af1-ijgi-04-01627">Computational Social Science Program, George Mason University, 4400 University Drive, MS 6B2, Fairfax, VA 22030, U | |
关键词: pedestrian modeling; pedestrian tracking; activity monitoring; spatiotemporal trajectories; agent-based modeling; | |
DOI : 10.3390/ijgi4031627 | |
来源: mdpi | |
【 摘 要 】
Pedestrian movement is woven into the fabric of urban regions. With more people living in cities than ever before, there is an increased need to understand and model how pedestrians utilize and move through space for a variety of applications, ranging from urban planning and architecture to security. Pedestrian modeling has been traditionally faced with the challenge of collecting data to calibrate and validate such models of pedestrian movement. With the increased availability of mobility datasets from video surveillance and enhanced geolocation capabilities in consumer mobile devices we are now presented with the opportunity to change the way we build pedestrian models. Within this paper we explore the potential that such information offers for the improvement of agent-based pedestrian models. We introduce a
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO202003190007044ZK.pdf | 1124KB | download |