Mapping on-road driver experiences of main roads: application of artificial intelligence, gis, and google maps

dc.contributor.authorGalagedara, H
dc.contributor.authorBandara, N
dc.contributor.editorGunaruwan, TL
dc.date.accessioned2023-10-12T07:55:34Z
dc.date.available2023-10-12T07:55:34Z
dc.date.issued2023-08-26
dc.description.abstractThe user experience reveals valuable information about the surrounding environment and how individuals feel about the moment emotionally. Researchers have shown the impact of emotions on decision-making, including driving-related decisions in a positive mood tended to maintain a safer driving performance. With the development of intelligent human-machine systems, emotion recognition has become emerging topics for transport-related research works. The methodlogy recognizes the facial expressions of vehicle drivers to map drivers’ experiences with Google Maps data. Findings show how intersections and traffic conditions affect the driver’s emotional changes during the driving situation. This new information layer can be use to identify driver feedback during different traffic and as a valuable dataset to technological enhancements to play a major role in better driving performance and fewer accidents.en_US
dc.identifier.citation**en_US
dc.identifier.conferenceResearch for Transport and Logistics Industry Proceedings of the 8th International Conferenceen_US
dc.identifier.departmentDepartment of Transport and Logistics Managementen_US
dc.identifier.emailgalagedarakh@gmail.com,en_US
dc.identifier.emailniroshansnj@gmail.comen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnospp. 186-188en_US
dc.identifier.placeMoratuwa, Sri Lankaen_US
dc.identifier.proceedingProceedings of the International Conference on Research for Transport and Logistics Industryen_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/21559
dc.identifier.year2023en_US
dc.language.isoenen_US
dc.publisherSri Lanka Society of Transport and Logisticsen_US
dc.relation.urihttps://slstl.lk/r4tli-2023/en_US
dc.subjectEmotionsen_US
dc.subjectFacial Expression Recognition (FER)en_US
dc.subjectGoogle Mapsen_US
dc.subjectArtificial intelligenceen_US
dc.subjectGISen_US
dc.titleMapping on-road driver experiences of main roads: application of artificial intelligence, gis, and google mapsen_US
dc.typeConference-Full-texten_US

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