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International Journal of Intelligent Transportation Systems Research
Erschienen in: International Journal of Intelligent Transportation Systems Research 1/2023

11.01.2023

CATMI: Context-Aware Traffic Management at Autonomous Un-Signalized Intersections

verfasst von: Hamed Vahdat-Nejad, Tahereh Mohammadi, Wathiq Mansoor

Erschienen in: International Journal of Intelligent Transportation Systems Research | Ausgabe 1/2023

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Abstract

Intersections form a significant part of an urban area and are the nuclei of congestion. In this regard, traffic management in un-signalized intersections is a considerable challenge because the unorganized passage of vehicles may lead to accidents, traffic jams, or even deadlocks. This can also increase the average waiting time for vehicles. In this research, a context-aware mechanism (CATMI) is proposed to calculate the priority of vehicles for passing the intersection. To this end, multi-attribute decision-making is utilized, which obtains a formula based on the effectiveness of the contributed contextual elements. Based on the priority, a vehicle is either granted or denied to cross the intersection. In this scheme, traffic management is accomplished such that deadlocks and starvations are prevented. The simulation result of the CATMI mechanism is compared with the results of previous traffic control systems. The results indicate that at intersections with various input rates, CATMI reduces the delay in most scenarios.
Vorheriger Artikel Simulating the Impact of Shared Mobility on Demand: a Study of Future Transportation Systems in Gothenburg, Sweden
Nächster Artikel A Review on Existing Technologies for the Identification and Measurement of Abnormal Driving

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Metadaten
Titel
CATMI: Context-Aware Traffic Management at Autonomous Un-Signalized Intersections
verfasst von
Hamed Vahdat-Nejad
Tahereh Mohammadi
Wathiq Mansoor
Publikationsdatum
11.01.2023
Verlag
Springer US
Erschienen in
International Journal of Intelligent Transportation Systems Research / Ausgabe 1/2023
Print ISSN: 1348-8503
Elektronische ISSN: 1868-8659
DOI
https://doi.org/10.1007/s13177-022-00342-0

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