CADAPPAR: An Integrated and Modular System for Crash Data Collection and Analytics
摘要
The present paper describes an integrated and modular computerized system for road crash data collection. Unlike the commonly used 2-tier architecture, this system leverages a 4-tier architecture including a mobile application for on-site data collection, a synchronization server, a distributed NoSQL database for data storage and a web application for data analysis and visualization. The system makes use of containerization to ensure scalability, ease of deployment and fault-tolerance. The offline-first approach ensures resiliency on connectivity restrained areas. The system incorporates a collaborative approach that allows multiple data collectors to contribute seamlessly. To evaluate its effectiveness, Proof of Concept tests, simulated scenarios, and resiliency assessments were conducted. The results highlight the system’s efficient offline-first synchronization and its adaptability to diverse deployment environments. Collaboration tests showed that enabling multiple collectors reduced data collection time by 50%. However, the evaluation also revealed key insights regarding real-world deployment challenges and the need for comprehensive performance benchmarking.