Evaluating the Role and Significance of Dynamic Intelligence Resource Management in Applications Designed for Intelligent Transportation Systems
Keywords:
DIRM, DITS, Intelligent Networks, Transport Networks, ApplicationsAbstract
As Intelligent Transportation Systems (ITS) evolve, dynamic intelligent resource management (DIRM) integration becomes increasingly important for optimizing system performance. This paper assesses the role and significance of DIRM (K. Smith et al., 2021) in ITS applications. The study looks into how dynamic resource allocation and utilization, such as compute power, communication bandwidth, and data storage, might improve the efficiency, adaptability, and responsiveness of ITS applications. This study evaluate major DITS (designed for intelligent transportation systems) methodologies and their implications for various ITS applications using a comprehensive analysis of existing research. It looks into how real-time resource allocation changes affect traffic management, vehicle-to-infrastructure communication, and overall system resilience (M. Johnson and R. Patel, 2017). A. Wang et al. (2018) discussed technological limits, cybersecurity consequences, and the necessity for standardized protocols to promote seamless integration across heterogeneous systems. According to the study's findings, DIRM and DITS play an important role in improving the adaptability and efficiency of ITS applications (S. Lee and B. Kim, 2019). The findings of this review influence future ITS advancements, emphasizing the importance of a dynamic and intelligent resource management approach to meet the growing demands of modern transport networks.
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