Title:
Enhanced signaling system design for 125cc motorcycles
Enhanced signaling system design for 125cc motorcycles
dc.contributor.advisor | Ball, Roger | |
dc.contributor.author | Hou, Xianda | |
dc.contributor.committeeMember | Purdy, Tim | |
dc.contributor.committeeMember | Wang, Wei | |
dc.contributor.department | Industrial Design | |
dc.date.accessioned | 2019-05-29T14:05:03Z | |
dc.date.available | 2019-05-29T14:05:03Z | |
dc.date.created | 2019-05 | |
dc.date.issued | 2019-05-13 | |
dc.date.submitted | May 2019 | |
dc.date.updated | 2019-05-29T14:05:03Z | |
dc.description.abstract | The sales and popularity of small-displacement motorcycles has been increasing. With this, the fatality rate per 100 million vehicle miles traveled has been increasing since year 2013. A great amount of accidents involved with motorcycles were involved with not being able to communicate with other traffic participants or misunderstanding the motorcycle driver’s intention when the right of way is involved. The enhanced signaling system design uses light and sound signal to deliver the message from the motorcycle driver. The VR usability test shown that by using this system, the pedestrians can understand the intension of motorcycle drivers faster and more accurate. | |
dc.description.degree | M.S. | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1853/61320 | |
dc.language.iso | en_US | |
dc.publisher | Georgia Institute of Technology | |
dc.subject | Motorcycle | |
dc.subject | Road safety | |
dc.subject | Usability | |
dc.subject | Virtual reality | |
dc.title | Enhanced signaling system design for 125cc motorcycles | |
dc.type | Text | |
dc.type.genre | Thesis | |
dspace.entity.type | Publication | |
local.contributor.advisor | Ball, Roger | |
local.contributor.corporatename | College of Design | |
local.contributor.corporatename | School of Industrial Design | |
relation.isAdvisorOfPublication | 92118f2c-f6a5-45f5-adae-21baaff83a90 | |
relation.isOrgUnitOfPublication | c997b6a0-7e87-4a6f-b6fc-932d776ba8d0 | |
relation.isOrgUnitOfPublication | ba047493-307f-4cec-b428-7d2ac38da373 | |
thesis.degree.level | Masters |