Containerised real-time architecture for safe urban navigation
Kaoutar Bella, Azedine Boulmakoul · 2021 International Conference on Decision Aid Sciences and Application (DASA) · 2021
From 1995 until 2007, the industry has focused more on developing tools and systems that entertains people and less focused on improving their life's safety. Focusing on luxurious entertainment has left several areas exposed to danger. It is until lately, where urban city has encouraged many programs for safer cities, specially to reduce road accidents. According to the WHO, 1,35 million people die annually as a result of traffic accidents and more are injured. Road accidents, was and still one of the concerns of all urban cities. In order to improve pedestrians' walkability, it is important to identify a suitable route for walking. The goal of this study is to provide a containerized real-time system for safe pedestrian navigation. The system provides various service such as geolocation, real-time navigation and safe routing. In order to use our system's resources more efficiently and improve our system's scalability, we used docker as container and Kubernetes as orchestrator. To manage users' locations, Kafka to handle stream messaging and for routing we used Valhala. The main advantage over the proposed solutions lies in the robustness and the high availability of our system. We aim to provide a system that will help save lives and decrease pedestrian accidents.