An Agent-based Sensor Grid to Monitor Urban Traffic

The growing of vehicular traffic in urban areas has worsened the citizens’ quality of life. Therefore some actions to reduce their negative effects and to improve transport network performances have been implemented over the years. To this purpose, agent-based Intelligent Transport Systems can contribute to manage a transport network. In this work, a non-intrusive grid of agent-based sensors able to monitor traffic parameters is proposed. It exploits acoustic signatures of road vehicles and then analyses them to estimate traffic flows. Moreover, cooperating neighboring agent sensors implement a trust system to improve their performances. Some experimental results show the feasibility and the advantages of the proposed solution.

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