| Abstract |
The Decision Support System (DSS) is a vital component in smart cities. The major advances in the field of ICT have discrete impression in the field of mobility and utility services. India has latterly introduced smart cities, wherein the preliminary objective was to ensure standard and performance of various utility services through integration of information and communication technologies. Using the high level of interactivity, decision support system, including its extreme support to data access is adaptable and flexible having complete control onto the semistructured and unstructured problems (programmed and nonprogrammed). The critical system, including the command-and-control center, completely operates on the deep learning and synthetic information processing. Despite the critical systems in the field of smart cities, the artificial intelligence applied system is extensively referred as artificial intelligence DSS (AIDSS) or intelligence DSS (IDSS). In present days, DSS and IDSS systems are greatly in use in the field of healthcare, finance, environment, security, etc. DSS refers to a system of systems, which synchronizes with each other in the process of decision making and mostly does not intend to give a decision itself. Such systems are used to validate decision by performing sensitivity analysis on multilevel guidelines of the problem. Using the standard mathematical and statistical models, DSS analyses the complex data, thereby producing the required information. The amount of information generated/used as input is always dealt with the big data and requires classificational analysis. This paper is an attempt to discuss the intelligent transport system and command and control center implemented under smart cities mission and understanding the role of DSS via a case study. © 2023 Scrivener Publishing LLC. All rights reserved. |
