Emerging decision-making for transportation safety: collaborative agent performance analysis

Simple item page
dc.contributor.authorMaguire-Day, Jack
dc.contributor.authorAl-Rubaye, Saba
dc.contributor.authorWarrier, Anirudh
dc.contributor.authorSen, Muhammet A.
dc.contributor.authorWhitworth, Huw
dc.contributor.authorSamie, Mohammad
dc.date.accessioned2025-03-24T14:34:34Z
dc.date.available2025-03-24T14:34:34Z
dc.date.freetoread2025-03-24
dc.date.issued2025-01-15
dc.date.pubOnline2025-01-15
dc.descriptionThis article belongs to the Special Issue Emerging Transportation Safety and Operations: Practical Perspectives, 2nd Edition
dc.description.abstractThis paper addresses the challenge of improving decision-making capabilities and safety in autonomous vehicles (AVs) using Agent-Based Modelling (ABM). The study evaluates ABM’s effect on Advanced Driver Assistance Systems (ADASs) in challenging driving situations, like lane merging, by incorporating it into a simulation framework designed for autonomous vehicles. Identifying emergent behaviours that enhance safety and efficiency, verifying the efficacy of ABM in AV decision-making, and investigating the function of hardware acceleration to enable practical application in ADASs are some of the major achievements. According to the simulation results, ABM can greatly improve AV performance, providing a practical and scalable means of enhancing safety in future transportation systems.
dc.description.journalNameVehicles
dc.identifier.citationMaguire-Day J, Al-Rubaye S, Warrier A, et al., (2025) Emerging decision-making for transportation safety: collaborative agent performance analysis. Vehicles, Volume 7, Issue 1, January 2025, Article number 4
dc.identifier.eissn2624-8921
dc.identifier.elementsID562435
dc.identifier.issn2624-8921
dc.identifier.issueNo1
dc.identifier.paperNo4
dc.identifier.urihttps://doi.org/10.3390/vehicles7010004
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23657
dc.identifier.volumeNo7
dc.languageEnglish
dc.language.isoen
dc.publisherMDPI
dc.publisher.urihttps://www.mdpi.com/2624-8921/7/1/4
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject3509 Transportation, Logistics and Supply Chains
dc.subject40 Engineering
dc.subject4005 Civil Engineering
dc.subject35 Commerce, Management, Tourism and Services
dc.subjectagent-based modelling (ABM)
dc.subjectautonomous vehicles
dc.subjectadvanced driver assistance system
dc.titleEmerging decision-making for transportation safety: collaborative agent performance analysis
dc.typeArticle
dcterms.dateAccepted2025-01-08

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Emerging_Decision-Making-2025.pdf
Size:
2.72 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Plain Text
Description:
Download

Collections

Staff publications (SATM)