IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i21p14579-d964630.html
   My bibliography  Save this article

An ITS System for Reducing Congestion and Noise Pollution due to Vehicles to/from Port Terminals

Author

Listed:
  • Marino Lupi

    (Department of Civil and Industrial Engineering, University of Pisa, 56126 Pisa, Italy)

  • Marco Boero

    (AlgoWatt spa, 20123 Milano, Italy)

  • Daniele Conte

    (Department of Civil and Industrial Engineering, University of Pisa, 56126 Pisa, Italy)

  • Luca Naso Rappis

    (AlgoWatt spa, 20123 Milano, Italy)

  • Mauro Vannucci

    (AlgoWatt spa, 20123 Milano, Italy)

  • Alessandro Farina

    (Department of Civil and Industrial Engineering, University of Pisa, 56126 Pisa, Italy)

Abstract

This paper deals with a new ITS system aimed at reducing road congestion and noise emissions on the urban roads leading to port terminals. This system is composed of: traffic video cameras, VMS panels and an app. These three components are connected and managed by an integrated ITS system management platform, called “LIST Port ITS System Central” in this paper. Video cameras measure traffic characteristics, such as flow rates, speed and composition of the vehicle stream and provide these data to the LIST Port ITS System Central. The central elaborates the data and provide the traffic flow characteristics to the app. The app calculates, in real time, the best route to/from port terminals, according to traffic congestion and noise emissions, and provides this information to the Central. Then, the app shows to the user the best route and the traffic and noise status in real time. The calculation of the best routes takes place according to the “physical capacity” and “acoustic capacity” of road infrastructures. Noise emissions are directly calculated from traffic characteristics by means of the CNOSSOS-EU model, and are after compared to the noise emission limit levels established by law. The services provided by the LIST Port ITS system are new, because, currently, routing strategies are usually based only on congestion, while noise pollution is almost always neglected. Noise pollution could be a more restrictive constraint because the “acoustic capacity” is often lower than the physical one.

Suggested Citation

  • Marino Lupi & Marco Boero & Daniele Conte & Luca Naso Rappis & Mauro Vannucci & Alessandro Farina, 2022. "An ITS System for Reducing Congestion and Noise Pollution due to Vehicles to/from Port Terminals," Sustainability, MDPI, vol. 14(21), pages 1-25, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14579-:d:964630
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/21/14579/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/21/14579/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marino Lupi & Chiara Pratelli & Alessandro Farina, 2021. "A Methodology for the Definition of the Acoustic Capacity of a Road Infrastructure," Sustainability, MDPI, vol. 13(21), pages 1-28, October.
    2. Lopez-Carreiro, Iria & Monzon, Andres & Lopez, Elena & Lopez-Lambas, Maria Eugenia, 2020. "Urban mobility in the digital era: An exploration of travellers' expectations of MaaS mobile-technologies," Technology in Society, Elsevier, vol. 63(C).
    3. Karlsson, I.C.M. & Mukhtar-Landgren, D. & Smith, G. & Koglin, T. & Kronsell, A. & Lund, E. & Sarasini, S. & Sochor, J., 2020. "Development and implementation of Mobility-as-a-Service – A qualitative study of barriers and enabling factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 283-295.
    4. Dulebenets, Maxim A., 2018. "A comprehensive multi-objective optimization model for the vessel scheduling problem in liner shipping," International Journal of Production Economics, Elsevier, vol. 196(C), pages 293-318.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kayikci, Yasanur & Kabadurmus, Ozgur, 2022. "Barriers to the adoption of the mobility-as-a-service concept: The case of Istanbul, a large emerging metropolis," Transport Policy, Elsevier, vol. 129(C), pages 219-236.
    2. Marc Schabka & Aurelia Kammerhofer & Valerie Batiajew & Maria Juschten, 2022. "Driving Forces and Barriers for the Implementation of Mobility Services in Austria—A Practitioner Perspective," Sustainability, MDPI, vol. 14(18), pages 1-26, September.
    3. Anja K. Faulhaber & Jens Hegenberg & Sophie Elise Kahnt & Franz Lambrecht & Daniel Leonhäuser & Stefan Saake & Franka Wehr & Ludger Schmidt & Carsten Sommer, 2022. "Development of a Passenger Assistance System to Increase the Attractiveness of Local Public Transport," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    4. Michalis P. Michaelides & Herodotos Herodotou & Mikael Lind & Richard T. Watson, 2019. "Port-2-Port Communication Enhancing Short Sea Shipping Performance: The Case Study of Cyprus and the Eastern Mediterranean," Sustainability, MDPI, vol. 11(7), pages 1-22, March.
    5. Xi, Haoning & Liu, Wei & Waller, S. Travis & Hensher, David A. & Kilby, Philip & Rey, David, 2023. "Incentive-compatible mechanisms for online resource allocation in Mobility-as-a-Service systems," Transportation Research Part B: Methodological, Elsevier, vol. 170(C), pages 119-147.
    6. Maxim A. Dulebenets, 2018. "A Diploid Evolutionary Algorithm for Sustainable Truck Scheduling at a Cross-Docking Facility," Sustainability, MDPI, vol. 10(5), pages 1-23, April.
    7. Dulebenets, Maxim A., 2019. "A Delayed Start Parallel Evolutionary Algorithm for just-in-time truck scheduling at a cross-docking facility," International Journal of Production Economics, Elsevier, vol. 212(C), pages 236-258.
    8. Smith, Göran & Sørensen, Claus Hedegaard, 2023. "Public-private MaaS: Unchallenged assumptions and issues of conflict in Sweden," Research in Transportation Economics, Elsevier, vol. 99(C).
    9. Kriswardhana, Willy & Esztergár-Kiss, Domokos, 2023. "Exploring the aspects of MaaS adoption based on college students’ preferences," Transport Policy, Elsevier, vol. 136(C), pages 113-125.
    10. Vasileios Kapsalis & Grigorios Kyriakopoulos & Miltiadis Zamparas & Athanasios Tolis, 2021. "Investigation of the Photon to Charge Conversion and Its Implication on Photovoltaic Cell Efficient Operation," Energies, MDPI, vol. 14(11), pages 1-16, May.
    11. Iria Lopez-Carreiro & Andres Monzon & Elena Lopez, 2023. "MaaS Implications in the Smart City: A Multi-Stakeholder Approach," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
    12. Ding, Xiaoshu & Qi, Qi & Jian, Sisi & Yang, Hai, 2023. "Mechanism design for Mobility-as-a-Service platform considering travelers’ strategic behavior and multidimensional requirements," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 1-30.
    13. Yu, Jingjing & Tang, Guolei & Song, Xiangqun, 2022. "Collaboration of vessel speed optimization with berth allocation and quay crane assignment considering vessel service differentiation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    14. Di Yao & Liqun Xu & Jinpei Li, 2019. "Evaluating the Performance of Public Transit Systems: A Case Study of Eleven Cities in China," Sustainability, MDPI, vol. 11(13), pages 1-21, June.
    15. Yale Z. Wong & David A. Hensher, 2021. "Delivering mobility as a service (MaaS) through a broker/aggregator business model," Transportation, Springer, vol. 48(4), pages 1837-1863, August.
    16. Antonio Peña-García & Ferdinando Salata & Iacopo Golasi, 2019. "Decrease of the Maximum Speed in Highway Tunnels as a Measure to Foster Energy Savings and Sustainability," Energies, MDPI, vol. 12(4), pages 1-11, February.
    17. Yui-Yip Lau & Tsz-Leung Yip & Maxim A. Dulebenets & Yuk-Ming Tang & Tomoya Kawasaki, 2022. "A Review of Historical Changes of Tropical and Extra-Tropical Cyclones: A Comparative Analysis of the United States, Europe, and Asia," IJERPH, MDPI, vol. 19(8), pages 1-19, April.
    18. Paula Brezovec & Nina Hampl, 2021. "Electric Vehicles Ready for Breakthrough in MaaS? Consumer Adoption of E-Car Sharing and E-Scooter Sharing as a Part of Mobility-as-a-Service (MaaS)," Energies, MDPI, vol. 14(4), pages 1-25, February.
    19. Zheng, Jianfeng & Zhang, Wenlong & Qi, Jingwen & Wang, Shuaian, 2019. "Canal effects on a liner hub location problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 230-247.
    20. Evgeny Gafarov & Frank Werner, 2019. "Two-Machine Job-Shop Scheduling with Equal Processing Times on Each Machine," Mathematics, MDPI, vol. 7(3), pages 1-11, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14579-:d:964630. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.