Big data, traditional data and the tradeoffs between prediction and causality in highway-safety analysis

Simple item page
dc.creatorManning, Fred
dc.creatorBhat, Chandra
dc.creatorShankar, Venky
dc.creatorAbdel-At, Mohamed
dc.date.accessioned2020-05-26T16:22:40Z
dc.date.available2020-05-26T16:22:40Z
dc.date.issued2020-01-25
dc.descriptionAnalytic Methods in Accident Research puchlished a piece describing the tradeoffs between prediction and causality in highway-safety analysis on January 25, 2020.en_US
dc.description.departmentOffice of the VP for Researchen_US
dc.identifier.urihttps://hdl.handle.net/2152/81393
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/8401
dc.language.isoengen_US
dc.publisherAnalytic Methods in Accident Researchen_US
dc.relation.ispartofGood Systems - News Storiesen_US
dc.rights.restrictionOpenen_US
dc.subjectBig dataen_US
dc.subjectaccident dataen_US
dc.subjectdata-driven methodsen_US
dc.subjectEndogeneityen_US
dc.titleBig data, traditional data and the tradeoffs between prediction and causality in highway-safety analysisen_US
dc.typeArticleen_US

Access full-text files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Safari - May 26, 2020 at 8_47 AM.pdf
Size:
243.5 KB
Format:
Adobe Portable Document Format
Description:
You're viewing a past news article from the Good Systems Grand Challenge team at The University of Texas at Austin.
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.64 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Good Systems - News and Media