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Nature-Inspired Optimization: Optimizing Distance of Emergency Response Wagons en Route to Railway Crossing Accident Location
Agbehadji, Israel Edem1,2; Millham, Richard C.3; Fong, Simon James4; Agbehadzi, Richard Koblah5
2024-01-12
Conference Name13th International Conference on Electronics, Communications and Networks, CECNet 2023
Source PublicationFrontiers in Artificial Intelligence and Applications
Volume381
Pages691-697
Conference Date17 November 2023through 20 November 2023
Conference PlaceHybrid, Macau
Abstract

The problem is that when an accident occurs at a railway crossing, emergency response wagons are unable to get to the accident location on time. In this study, we consider the location of emergency response wagons and railway accident location and apply a nature-inspired search strategy as a solution to compute the optimal distance for an emergency response wagon such that when an accident occurs the expected time to reach the accident location can be minimized. The outcome suggests the ideal objective function, haversine method, because it produced the optimal minimal distance of 994, 691.90km with a computational time of 1.05s for KSA over comparative algorithms namely BAT and (Ant Colony Optimization) ACO.

KeywordEmergency Response Nature-inspired Optimization Railway Crossing
DOI10.3233/FAIA231254
URLView the original
Language英語English
Scopus ID2-s2.0-85183080968
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Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorMillham, Richard C.
Affiliation1.Durban University of Technology, South Africa
2.Ghana Communication Technology University, Ghana
3.ICT and Society Research Group, Durban University of Technology, South Africa
4.University of Macau, Macao
5.University of Lome, Togo
Recommended Citation
GB/T 7714
Agbehadji, Israel Edem,Millham, Richard C.,Fong, Simon James,et al. Nature-Inspired Optimization: Optimizing Distance of Emergency Response Wagons en Route to Railway Crossing Accident Location[C], 2024, 691-697.
APA Agbehadji, Israel Edem., Millham, Richard C.., Fong, Simon James., & Agbehadzi, Richard Koblah (2024). Nature-Inspired Optimization: Optimizing Distance of Emergency Response Wagons en Route to Railway Crossing Accident Location. Frontiers in Artificial Intelligence and Applications, 381, 691-697.
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