Smart City Decision Making System Based on Event-driven Platform

Abstract

With the occurrence of rapid urbanization and intensive growth of different modes of transport, we face issues such as resource management, energy demand and lack of capacity due to overcrowding. To help with these issues we leverage technology and the Internet of Things (IoT) to develop smart cities. In this paper, we propose an innovative approach to development of new smart city event-driven platform with which we want to simplify data input, data transformation, and decision making processes. The platform uses events, labels and reliability factor to make decisions and trigger actions. This paper begins with an overview of the smart city framework and we review the characteristics of event-driven models. The event-driven platform is presented and discussed. The paper closes with our findings, suggestions, open issues, and future research possibilities.

Construction of Smart Transportation City System Based on Digital Twins

“…However, there are still many problems regarding the seamless interaction between smart transportation cities as digital models and physical cities. At present, the development of digital twin smart transportation cities is still stuck in the integration of GIS and BIM, used for displaying cities on web and mobile platforms, and used for intelligent analysis and making real-time plan adjustments based on real-time traffic data [5] . There is still little room for further research and promotion.…”

The Effect of the Application of Warehouse Management System on Goods Storage at PT Shippindo Logistics Technology

“…Internal characteristics include several functions which include storage capacity, ease of access to storage locations, complexity of internal structures and level of information technology. While external characteristics such as the type of product, the number of products, and the amount of product inventory to be stored, from the type of flow of goods in and out (Bai et al, 2022;Li et al, 2020;Saric et al, 2021;Suryawanshi & Dutta, 2022;Zheng & Negenborn, 2014).…”