dc.contributor.author |
Vlahogianni, EI |
en |
dc.contributor.author |
Karlaftis, MG |
en |
dc.contributor.author |
Golias, JC |
en |
dc.contributor.author |
Halkias, BM |
en |
dc.date.accessioned |
2014-03-01T01:33:30Z |
|
dc.date.available |
2014-03-01T01:33:30Z |
|
dc.date.issued |
2010 |
en |
dc.identifier.issn |
0361-1981 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/20456 |
|
dc.subject.classification |
Engineering, Civil |
en |
dc.subject.classification |
Transportation |
en |
dc.subject.classification |
Transportation Science & Technology |
en |
dc.subject.other |
Freeway operations |
en |
dc.subject.other |
High-density |
en |
dc.subject.other |
Incident duration |
en |
dc.subject.other |
Probabilistic estimation |
en |
dc.subject.other |
Secondary crash |
en |
dc.subject.other |
Traffic characteristics |
en |
dc.subject.other |
Traffic conditions |
en |
dc.subject.other |
Bayesian networks |
en |
dc.subject.other |
Inference engines |
en |
dc.subject.other |
Highway accidents |
en |
dc.title |
Freeway operations, spatiotemporal-incident characteristics, and secondary-crash occurrence |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.3141/2178-01 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.3141/2178-01 |
en |
heal.language |
English |
en |
heal.publicationDate |
2010 |
en |
heal.abstract |
Incidents are a major source of uncertainty in freeway operations. Secondary crashes are an important category of freeway incidents. Until now, secondary crashes have been assumed to occur at the boundary of high-density queues formed upstream of an initial crash. While much research has concentrated on the relationship between incident duration and secondary-crash likelihood, the incident's influence area is widely treated as independent of prevailing traffic conditions and incident characteristics. This paper extends research by developing a Bayesian network for the probabilistic estimation of different influence areas for secondary-crash occurrence with respect to various incident and traffic characteristics. Results indicate that traffic conditions at the time of an incident, as well as the time needed to respond to and clear the crash scene, are the most significant determinants in defining the upstream influence area of a crash. |
en |
heal.publisher |
NATL ACAD SCIENCES |
en |
heal.journalName |
Transportation Research Record |
en |
dc.identifier.doi |
10.3141/2178-01 |
en |
dc.identifier.isi |
ISI:000287679600001 |
en |
dc.identifier.issue |
2178 |
en |
dc.identifier.spage |
1 |
en |
dc.identifier.epage |
9 |
en |