Seybold Report ISSN: 1533-9211
Shiv kumar, Dr. A. S. Rathore
Vol 18, No 11 ( 2023 ) | Licensing: CC 4.0 | Pg no: 442-453 | Published on: 30-11-2023
Abstract
The study includes a thorough literature analysis to lay the groundwork for understanding wireless sensor networks, context-aware computing, and urban transportation. Building on this knowledge, the paper outlines a system architecture and conceptual framework that are specifically designed to meet the needs of urban rail transit contexts. It looks at methods for choosing and implementing sensors, with a focus on data privacy, scalability, and interoperability. In order to extract useful insights from sensor data, the paper also explores the creation of algorithms for data gathering, processing, and context inference. The paper aims at improving operational efficiency, safety, and user experience in urban rail transportation networks by designing and implementing context-aware apps for different stakeholders, such as passengers, operators, and maintenance staff. Simulation studies and real-world deployment trials are used to assess the usability and performance of the proposed system. The ultimate goal of this study is to provide insightful analysis and workable solutions that open the door to more intelligent, robust, and sustainable urban transportation systems. The effective operation of urban train transportation systems in densely populated areas is contingent upon their efficiency and dependability. Context-aware application integration with wireless sensor network (WSN) technology is a viable way to improve such transportation networks' efficiency and usefulness. Using the capabilities of WSN technology, this paper demonstrates the design and implementation of context-aware applications especially suited for urban rail transit contexts. The study starts with a detailed examination of the problems and present situation of urban rail transportation systems. The theoretical foundations of context-aware computing and the use of WSNs in transportation scenarios are then covered in detail. Through an extensive analysis of the literature, this paper lays the groundwork for the upcoming stages of design and execution. The architecture of the system has been carefully designed to meet the special needs of urban rail transportation, emphasizing smooth integration, reliable data gathering, and effective processing. Particular focus is placed on sensor placement and selection tactics, taking into account variables including data accuracy, power consumption, and climatic conditions.
Keywords:
Wireless sensor network, Architecture of the system, Implementing sensors.