Vehicle Accident Prediction Model for Smart Cities Using Edge Computing | ||||
| Artificial Intelligence Information Security | ||||
| Volume 3, Issue 8, May 2025, Page 58-69 PDF (459.26 K) | ||||
| Document Type: Refereed research papers. | ||||
| DOI: 10.21608/aiis.2025.431224 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Hazim Saleh AlRawashdeh 
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| Computer Science Department - College of Engineering and Information Technology- Onaizah Colleges | ||||
| Abstract | ||||
| Development of Edge Computing and Internet of Things (IoT) leads to get the great benefits of smart cities. Increasing number of vehicles has brought focus on cars and passengers safety and city to vehicle (c2v) communication. This paper focuses on proposing a model for earlier prediction of vehicular possible hazards. The proposed system uses smart city infrastructure such as sensors and high resolution cameras to capture any possible incident and analyze these data for any possible accidents. Any hazard occurrence leads to send a voice alert to the car driver (owner) telling to perform some steps that avoid him many real accident and save his and others life. | ||||
| Keywords | ||||
| Edge Computing; IoT; smart city; GPS; GSM; image processing | ||||
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