Dangerous Driving Remote Sensing based on Mobile Society
Rádai, Levente
2025-09-15T09:18:35Z
2025-09-15T09:18:35Z
2018
http://hdl.handle.net/20.500.14044/33618
I am disappointed driving a car in Szekesfehervar. It is good to see, that there are a lot of cars, more than 500 cars pro 1000 citizens, which shows, that people have got money, so the economy in Szekesfehervar is really prospering. But most people do not care of traffic rules, actual traffic situations and optimal traffic. Some of them are only impolite and aggressive, but lot of them cannot really drive. Can we help on this situation? Can we detect dangerous drivers not harming the GDPR? Could we warn the conscious drivers for dangerous drivers in the close traffic environment? Seeing an alarming ambulance car, my daughter said once, that we cannot know, when an accident will happen. I reflected as alighting, that of course, we can! The article presents an initiative mobile application based on android society.
hu_HU
dc.format
Pdf
hu_HU
en
hu_HU
Dangerous Driving Remote Sensing based on Mobile Society
hu_HU
Open access
hu_HU
Óbudai Egyetem
hu_HU
2018 november 8
hu_HU
Székesfehérvár
hu_HU
Alba Regia Műszaki Kar
hu_HU
Óbudai Egyetem
hu_HU
Műszaki tudományok - informatikai tudományok
hu_HU
okos város
hu_HU
okos közlekedés
hu_HU
Konferenciaközlemény
hu_HU
AIS 2018
hu_HU
local.tempfieldCollections
Könyvrészletek
hu_HU
20.
hu_HU
Kiadói változat
hu_HU
5 p.
hu_HU
13th International Symposium on Applied Informatics and Related Areas organized in the frame of Hungarian Science Festival 2018 by Óbuda University