Show simple item record

dc.contributor.authorAntoniou, G
dc.contributor.authorBatsakis, S
dc.contributor.authorDavies, J
dc.contributor.authorDuke, A
dc.contributor.authorMcCluskey, TL
dc.contributor.authorPeytchev, E
dc.contributor.authorTachmazidis, I
dc.contributor.authorVallati, M
dc.date.accessioned2019-09-23T00:55:26Z
dc.date.available2019-09-23T00:55:26Z
dc.date.issued2019
dc.identifier.issn0968-090X
dc.identifier.doi10.1016/j.trc.2018.12.005
dc.identifier.urihttp://hdl.handle.net/10072/387616
dc.description.abstractImproving a city’s infrastructure is seen as a crucial part of its sustainability, leading to efficiencies and opportunities driven by technology integration. One significant step is to support the integration and enrichment of a broad variety of data, often using state of the art linked data approaches. Among the many advantages of such enrichment is that this may enable the use of intelligent processes to autonomously manage urban facilities such as traffic signal controls. In this paper we document an attempt to integrate sets of sensor and historical data using a data hub and a set of ontologies for the data. We argue that access to such high level integrated data sources leads to the enhancement of the capabilities of an urban transport operator. We demonstrate this by documenting the development of a planning agent which uses such data as inputs in the form of logic statements, and when given traffic goals to achieve, outputs complex traffic signal strategies which help transport operators deal with exceptional events such as road closures or road traffic saturation. The aim is to create an autonomous agent which reacts to commands from transport operators in the face of exceptional events involving saturated roads, and creates, executes and monitors plans to deal with the effects of such events. We evaluate the intelligent agent in a region of a large urban area, under the direction of urban transport operators.
dc.description.peerreviewedYesen_US
dc.languageenen_US
dc.publisherElsevier BV
dc.relation.ispartofpagefrom284
dc.relation.ispartofpageto297
dc.relation.ispartofjournalTransportation Research Part C: Emerging Technologies
dc.relation.ispartofvolume98
dc.subject.fieldofresearchEngineeringen_US
dc.subject.fieldofresearchInformation and Computing Sciencesen_US
dc.subject.fieldofresearchCommerce, Management, Tourism and Servicesen_US
dc.subject.fieldofresearchcode09en_US
dc.subject.fieldofresearchcode08en_US
dc.subject.fieldofresearchcode15en_US
dc.titleEnabling the use of a planning agent for urban traffic management via enriched and integrated urban data
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationAntoniou, G; Batsakis, S; Davies, J; Duke, A; McCluskey, TL; Peytchev, E; Tachmazidis, I; Vallati, M, Enabling the use of a planning agent for urban traffic management via enriched and integrated urban data, Transportation Research Part C: Emerging Technologies, 2019, 98, pp. 284-297
dc.date.updated2019-09-23T00:53:51Z
gro.hasfulltextNo Full Text
gro.griffith.authorAntoniou, Grigorios


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record