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Signal setting design to reduce noise emissions in a connected environment

Author

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

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.

Suggested Citation

  • Di Pace, Roberta & Storani, Facundo & Guarnaccia, Claudio & de Luca, Stefano, 2023. "Signal setting design to reduce noise emissions in a connected environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P2).
    • Handle: RePEc:eee:phsmap:v:632:y:2023:i:p2:s037843712300883x
    DOI: 10.1016/j.physa.2023.129328
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    References listed on IDEAS

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    1. Memoli, Silvio & Cantarella, Giulio E. & de Luca, Stefano & Pace, Roberta Di, 2017. "Network signal setting design with stage sequence optimisation," Transportation Research Part B: Methodological, Elsevier, vol. 100(C), pages 20-42.
    2. Bastiaan Possel & Luc J. J. Wismans & Eric C. Berkum & Michiel C. J. Bliemer, 2018. "The multi-objective network design problem using minimizing externalities as objectives: comparison of a genetic algorithm and simulated annealing framework," Transportation, Springer, vol. 45(2), pages 545-572, March.
    3. Jiang, Yangsheng & Wang, Sichen & Yao, Zhihong & Zhao, Bin & Wang, Yi, 2021. "A cellular automata model for mixed traffic flow considering the driving behavior of connected automated vehicle platoons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    4. Stefano de Luca & Roberta Di Pace & Silvio Memoli & Luigi Pariota, 2020. "Sustainable Traffic Management in an Urban Area: An Integrated Framework for Real-Time Traffic Control and Route Guidance Design," Sustainability, MDPI, vol. 12(2), pages 1-20, January.
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