Pedestrian flow prediction in extensive road networks using biased observational data

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Volumn , Issue , 2008, Pages 471-474

  May, Michael ^a   Scheider, Simon ^b   Rösler, Roberto ^a   Schulz, Daniel ^a   Hecker, Dirk ^a  

^a FRAUNHOFER IAIS   (Germany)

^b UNIVERSITY OF MÜNSTER   (Germany)

Author keywords

Extensive road networks; Large scale data; Pedestrian flow prediction; Prior knowledge; Sample selection bias; Spatial data mining

Indexed keywords

LARGE SCALE DATA; PEDESTRIAN FLOW; PRIOR KNOWLEDGE; ROAD NETWORK; SAMPLE SELECTION BIAS; SPATIAL DATA MINING;

DATA MINING; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; ROADS AND STREETS;

MOTOR TRANSPORTATION;

EID: 70449721242     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1463434.1463512     Document Type: Conference Paper

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