A Multi-Agent System Approach for Emergency Services using QoS-Assured Cloud Computing Architecture in the Metropolitan Transportation System

Abstract

The paradigm of multi-agent systems has been actively applied to cloud computing to provide cost-effective, decentralized problem-solving. Rather than processing the tasks that require enormous computing resources locally, they can be processed in the cloud. In this research, we present how these two paradigms can be effectively used to handle emergency services in any metropolitan transportation system. In the proposed architecture, agents are deployed at each signal node which collects information at each signal and transmits it to the cloud services. These agents can also handle the signal nodes in case of an emergency. Agents at different nodes share information regarding an emergency. Cloud service plays the backbone role with heterogeneous-agent while handling emergency services. It analyses the input data and determines the presence of emergency services. The main contribution of the research is to utilize a priority-based mechanism for handling exigency vehicles rather than using traditional timer-based signals. In addition, we provided case studies demonstrating the usefulness of the proposed framework.