The growing of vehicular traffic in urban areas hasworsened the citizens’ quality of life. Therefore some actions to reduce their negative effects and to improve transport networkperformances 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 parametersis proposed. It exploits acoustic signatures of road vehicles and then analyses them to estimate traffic flows. Moreover, cooperating neighboring agent sensors implement a trust systemto improve their erformances. Some experimental results showthe feasibility and the advantages of the proposed solution.

An Agent-based Sensor Grid to Monitor Urban Traffic / Postorino, M; Sarne', G. - 1260:(2014), pp. 1-6. (Intervento presentato al convegno XV Intenrational Workshop “from Objects to Agents” tenutosi a Catania (Italy) nel 25-26 September 2014).

An Agent-based Sensor Grid to Monitor Urban Traffic

POSTORINO M;SARNE' G
2014-01-01

Abstract

The growing of vehicular traffic in urban areas hasworsened the citizens’ quality of life. Therefore some actions to reduce their negative effects and to improve transport networkperformances 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 parametersis proposed. It exploits acoustic signatures of road vehicles and then analyses them to estimate traffic flows. Moreover, cooperating neighboring agent sensors implement a trust systemto improve their erformances. Some experimental results showthe feasibility and the advantages of the proposed solution.
2014
Acoustic Vehicle Signature; Multi-Agent System; Sensor Grid; Transport System; Trust System
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/17868
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 17
  • ???jsp.display-item.citation.isi??? ND
social impact