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Filtering Estimated Crime Series Based on Route Calculations on Spatio-temporal Data
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.
2016 (engelsk)Inngår i: European Intelligence and Security Informatics Conference / [ed] Brynielsson J.,Johansson F., IEEE, 2016, s. 92-95Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Law enforcement agencies strive to link serial crimes, most preferably based on physical evidence, such as DNA or fingerprints, in order to solve criminal cases more efficiently. However, physical evidence is more common at crime scenes in some crime categories than others. For crime categories with relative low occurrence of physical evidence it could instead be possible to link related crimes using soft evidence based on the perpetrators' modus operandi (MO). However, crime linkage based on soft evidence is associated with considerably higher error-rates, i.e. crimes being incorrectly linked. In this study, we investigate the possibility of filtering erroneous crime links based on travel time between crimes using web-based direction services, more specifically Google maps. A filtering method has been designed, implemented and evaluated using two data sets of residential burglaries, one with known links between crimes, and one with estimated links based on soft evidence. The results show that the proposed route-based filtering method removed 79 % more erroneous crimes than the state-of-the-art method relying on Euclidean straight-line routes. Further, by analyzing travel times between crimes in known series it is indicated that burglars on average have up to 15 minutes for carrying out the actual burglary event. © 2016 IEEE.

sted, utgiver, år, opplag, sider
IEEE, 2016. s. 92-95
Serie
European Intelligence and Security Informatics Conference, ISSN 2572-3723
Emneord [en]
Crime filtering, Crime linkage, Route analysis, Travel time, Filtering method, Law-enforcement agencies, Modus operandi, Physical evidence, Route calculations, Spatio-temporal data, State-of-the-art methods, Crime
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-14132DOI: 10.1109/EISIC.2016.024ISI: 000411272300014Scopus ID: 2-s2.0-85017255817ISBN: 9781509028566 (tryckt)OAI: oai:DiVA.org:bth-14132DiVA, id: diva2:1091948
Konferanse
Conference on European Intelligence and Security Informatics Conference (EISIC)
Tilgjengelig fra: 2017-04-28 Laget: 2017-04-28 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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