| Title |
R-Secure: A System Based On Crowdsourcing Platforms To Improve Road Safety In The Smart City |
| ID_Doc |
44049 |
| Authors |
Ibtissem K.; Sami F.; Souhayel G. |
| Year |
2022 |
| Published |
16th International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2022 |
| DOI |
http://dx.doi.org/10.1109/INISTA55318.2022.9894228 |
| Abstract |
The number of accidents is increasing over time, which has a social and economic impact. According to the World Health Organization (WHO) road accidents are now the main cause of death among 5-29 year old's. In addition, Every day, roads cause roughly 40 serious and minor injuries and 4 fatalities in Tunisia, warns the National Observatory of Road Safety(NORS). The statistics show the seriousness of the current situation of road safety at the global and national level. In order to enhance road safety in Tunisia we propose a new system baptized R-Secure based on data from our crowdsourcing platforms. Our system has two functionalities, the first one consists in collecting rich road anomaly data such as images and GPS location from citizens and road safety experts. And the second is to analyze the information gathered and to inform resident's about the risk areas through a vulnerability map of the city. © 2022 IEEE. |
| Author Keywords |
crowdsourcing; decision support; road anomaly; Road security; smart city |
