Signal setting design to reduce noise emissions in a connected environment

Roberta Di Pace, Facundo Storani, Claudio Guarnaccia and Stefano de Luca

Physica A: Statistical Mechanics and its Applications, 2023, vol. 632, issue P2

Abstract: To meet the zero-pollution target on noise by 2030, it is necessary to develop mobility management policies that directly act on noise exposure. This paper proposes traffic signal optimisation in an environment with fully connected vehicles (CVs), combining noise pollution minimisation with total travel time minimisation to improve traffic flow. Traffic signal optimisation was tested on a network with signalised interacting junctions, comparing different approaches and scenarios based on short-range communication between the infrastructure and CVs approaching the junctions. The results show that the proposed traffic control method may be adopted to effectively reduce the impact of traffic noise and improve traffic performance.

Keywords: Traffic control; Urban; Multi-objective optimisation; Externalities (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:632:y:2023:i:p2:s037843712300883x

DOI: 10.1016/j.physa.2023.129328

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