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Smart city article details
| Title | R-Safety: A Mobile Crowdsourcing Platform For Road Safety In Smart Cities |
|---|---|
| ID_Doc | 44048 |
| Authors | Khedher I.; Faiz S.; Gazah S. |
| Year | 2022 |
| Published | 2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022 |
| DOI | http://dx.doi.org/10.1109/CoDIT55151.2022.9804123 |
| Abstract | Road insecurity is a real scourge; road accidents cause more and more human and material losses worldwide, however, inequalities in the distribution of damages. On the one hand, a report published by the WHO estimated that some 1.3 million people are killed and 50 million injured in road accidents worldwide each year. On the other hand, a report published by the National Observatory of Road Safety in Tunisia showed that 1007 people were killed and 6757 injured in Tunisia in 202. Certainly, the statistics allow estimating the level of road insecurity at the global and national levels. To improve the current situation of road safety in Tunisia we propose a new mobile crowdsourcing platform called R-safety which allows road users to report in real-time their road safety feeling indexes. It also allows users to report violations they witness and interact with the NORS. R-safety also aims to inform citizens about risk areas through a vulnerability map that divides the areas into five types from the least dangerous to the most dangerous. In our approach, we are interested in improving the current situation of road safety by integrating the opinions of road users in the decision support tool of the national observatory of road safety. Thus, integrating citizens opinions into the information system would serve to have new sources of incoming data to improve decisions. This research work responds to real needs discussed with the members responsible for the studies and research of the NORS. We are evaluating our proposal through a questionnaire with 524 participants. This questionnaire helps us to choose among the proposed safety indicators those that affect road safety according to the citizen's opinion. This result confirms the importance of our crowdsourcing service. © 2022 IEEE. |
| Author Keywords | crowdsourcing; decision support; road risks; safety index; smart city |
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