Matches in SemOpenAlex for { <https://semopenalex.org/work/W2980931982> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W2980931982 endingPage "69" @default.
- W2980931982 startingPage "60" @default.
- W2980931982 abstract "Recently, non-recurrent congestion caused by road traffic incidents has become a critical concern of road Traffic Management System (TMS). However, incidents can’t be predicted. Hence, modern cities deployed Automatic Incidents Detection Systems (AIDSs) to early detect incidents and to improving road traffic flow efficiency and safety. For this, many AIDS approaches based on Machine Learning (ML) techniques are proposed. Although several reviews about AIDS have been written, a review of ML techniques based incident detection systems is required. The purpose of this paper is to discuss the recent research contributions in automatic incidents detection systems based on ML techniques. To achieve this goal, a review and a comparison of data sources, datasets, techniques and detection performances in both freeway and urban roads are provided. Finally, the paper concludes by addressing the critical open issues for conducting research in the future as a proposal framework." @default.
- W2980931982 created "2019-10-25" @default.
- W2980931982 creator A5043291607 @default.
- W2980931982 creator A5088062213 @default.
- W2980931982 date "2019-12-22" @default.
- W2980931982 modified "2023-09-24" @default.
- W2980931982 title "Machine Learning Techniques for Road Traffic Automatic Incident Detection Systems: A Review" @default.
- W2980931982 cites W1935498090 @default.
- W2980931982 cites W1972877767 @default.
- W2980931982 cites W2042759501 @default.
- W2980931982 cites W2119336894 @default.
- W2980931982 cites W2128558188 @default.
- W2980931982 cites W2331642729 @default.
- W2980931982 cites W2428379754 @default.
- W2980931982 cites W2565135788 @default.
- W2980931982 cites W2735956375 @default.
- W2980931982 cites W2763382120 @default.
- W2980931982 cites W2802223257 @default.
- W2980931982 cites W2809684781 @default.
- W2980931982 cites W4238796079 @default.
- W2980931982 cites W4378589522 @default.
- W2980931982 cites W2005133178 @default.
- W2980931982 doi "https://doi.org/10.1007/978-3-030-37207-1_7" @default.
- W2980931982 hasPublicationYear "2019" @default.
- W2980931982 type Work @default.
- W2980931982 sameAs 2980931982 @default.
- W2980931982 citedByCount "2" @default.
- W2980931982 countsByYear W29809319822022 @default.
- W2980931982 countsByYear W29809319822023 @default.
- W2980931982 crossrefType "book-chapter" @default.
- W2980931982 hasAuthorship W2980931982A5043291607 @default.
- W2980931982 hasAuthorship W2980931982A5088062213 @default.
- W2980931982 hasConcept C127413603 @default.
- W2980931982 hasConcept C207512268 @default.
- W2980931982 hasConcept C22212356 @default.
- W2980931982 hasConcept C2779888511 @default.
- W2980931982 hasConcept C38652104 @default.
- W2980931982 hasConcept C41008148 @default.
- W2980931982 hasConceptScore W2980931982C127413603 @default.
- W2980931982 hasConceptScore W2980931982C207512268 @default.
- W2980931982 hasConceptScore W2980931982C22212356 @default.
- W2980931982 hasConceptScore W2980931982C2779888511 @default.
- W2980931982 hasConceptScore W2980931982C38652104 @default.
- W2980931982 hasConceptScore W2980931982C41008148 @default.
- W2980931982 hasLocation W29809319821 @default.
- W2980931982 hasOpenAccess W2980931982 @default.
- W2980931982 hasPrimaryLocation W29809319821 @default.
- W2980931982 hasRelatedWork W1555654902 @default.
- W2980931982 hasRelatedWork W210698821 @default.
- W2980931982 hasRelatedWork W2204264970 @default.
- W2980931982 hasRelatedWork W2611975972 @default.
- W2980931982 hasRelatedWork W2986348191 @default.
- W2980931982 hasRelatedWork W3082810570 @default.
- W2980931982 hasRelatedWork W3086410885 @default.
- W2980931982 hasRelatedWork W567466425 @default.
- W2980931982 hasRelatedWork W633764656 @default.
- W2980931982 hasRelatedWork W2803041665 @default.
- W2980931982 isParatext "false" @default.
- W2980931982 isRetracted "false" @default.
- W2980931982 magId "2980931982" @default.
- W2980931982 workType "book-chapter" @default.