Hit and run crash analysis using association rules mining-Reference-Cited by-同舟云学术

Hit and run crash analysis using association rules mining

Published:2019-05-23 Issue:2 Volume:13 Page:123-142
ISSN:1943-9962
Container-title:Journal of Transportation Safety & Security
language:en
Short-container-title:Journal of Transportation Safety & Security

Author:

Das Subasish¹^ORCID,Kong Xiaoqiang¹,Tsapakis Ioannis¹

Affiliation:

1. Texas A&M Transportation Institute, Texas A&M University System, College Station, Texas, USA

Publisher

Informa UK Limited

Subject

Safety Research,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/19439962.2019.1611682

Reference57 articles.

1. Agrawal, R. & Srikant, R. (1994). Fast Algorithms for Mining Association Rules in Large Databases. In the Proceedings of the 20th International Conference on Very Large Data Bases, VLDB 1215, 487-499.

2. Crash severity analysis of rear-end crashes in California using statistical and machine learning classification methods

3. The effect of road and environmental characteristics on pedestrian hit-and-run accidents in Ghana

4. An improved approach for association rule mining using a multi-criteria decision support system: a case study in road safety

5. Using logistic regression to estimate the influence of accident factors on accident severity

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