Traffic conflict techniques: state of practice

dc.contributor.author	Milligan, C.
dc.date.accessioned	2021-11-02T09:24:43Z
dc.date.available	2021-11-02T09:24:43Z
dc.date.issued	2021
dc.description	Papers presented virtually at the 39th International Southern African Transport Conference on 05 -07 July 2021
dc.description.abstract	This talk will introduce the science of surrogate safety in traffic engineering and the use of computer vision to obtain surrogate safety data. Regarding near-miss conflicts between road users, the presentation will identify what measurement indicators are most effective in predicting the likelihood of future injury collisions. Finally, case studies will be presented where computer vision was used to diagnose road safety problems, recommend solutions, and measure the risk reduction effectiveness of these solutions.
dc.format.extent	1 pages
dc.format.medium	PDF
dc.identifier.uri	http://hdl.handle.net/2263/82432
dc.language.iso	en
dc.publisher	Southern African Transport Conference 2021
dc.rights	Southern African Transport Conference 2021
dc.title	Traffic conflict techniques: state of practice
dc.type	Article