IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v10y2018i2p15-d129731.html
   My bibliography  Save this article

Smart Pedestrian Crossing Management at Traffic Light Junctions through a Fuzzy-Based Approach

Author

Listed:
  • Giovanni Pau

    (Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy)

  • Tiziana Campisi

    (Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy)

  • Antonino Canale

    (Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy)

  • Alessandro Severino

    (Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy)

  • Mario Collotta

    (Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy)

  • Giovanni Tesoriere

    (Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy)

Abstract

In the last few years, numerous research efforts have been conducted to merge the Internet of Things (IoT) with smart city environments. The goal to make a city “smart” is arising as a possible solution to lessen the issues caused by the urban population growth and fast urbanization. Attention also has focused on the pedestrian crossings because they are one of the most dangerous places in the transport field. Information and Communications Technologies (ICT) can undoubtedly be an excellent support in developing infrastructures that can best manage pedestrian crossing. For this reason, this paper introduces a fuzzy logic-based solution able to manage dynamically the traffic lights’ phases in signalized pedestrian crossings. The proposed approach provides the possibility to change the phases of the traffic light taking into account the time of the day and the number of pedestrians about to cross the road. The paper presents a thorough description of the fuzzy logic controller configuration, an in-depth analysis of the application scenario and simulative assessments obtained through Vissim simulations.

Suggested Citation

  • Giovanni Pau & Tiziana Campisi & Antonino Canale & Alessandro Severino & Mario Collotta & Giovanni Tesoriere, 2018. "Smart Pedestrian Crossing Management at Traffic Light Junctions through a Fuzzy-Based Approach," Future Internet, MDPI, vol. 10(2), pages 1-19, February.
    • Handle: RePEc:gam:jftint:v:10:y:2018:i:2:p:15-:d:129731
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/10/2/15/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/10/2/15/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francesco Carrino & Elena Mugellini & Omar Abou Khaled & Nabil Ouerhani & Juergen Ehrensberger, 2016. "iNUIT: Internet of Things for Urban Innovation," Future Internet, MDPI, vol. 8(2), pages 1-21, May.
    2. Kayvan Aghabayk & Majid Sarvi & William Young, 2015. "A State-of-the-Art Review of Car-Following Models with Particular Considerations of Heavy Vehicles," Transport Reviews, Taylor & Francis Journals, vol. 35(1), pages 82-105, January.
    3. Pablo E. Branchi & Carlos Fernández-Valdivielso & Ignacio R. Matias, 2014. "Analysis Matrix for Smart Cities," Future Internet, MDPI, vol. 6(1), pages 1-15, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Auwal Alhassan Musa & Salim Idris Malami & Fayez Alanazi & Wassef Ounaies & Mohammed Alshammari & Sadi Ibrahim Haruna, 2023. "Sustainable Traffic Management for Smart Cities Using Internet-of-Things-Oriented Intelligent Transportation Systems (ITS): Challenges and Recommendations," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
    2. Fabio Arena & Giovanni Pau, 2019. "An Overview of Vehicular Communications," Future Internet, MDPI, vol. 11(2), pages 1-12, January.

    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. Shuaiyang Jiao & Shengrui Zhang & Bei Zhou & Zixuan Zhang & Liyuan Xue, 2020. "An Extended Car-Following Model Considering the Drivers’ Characteristics under a V2V Communication Environment," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    2. Paul J. Croft, 2019. "Environmental Hazards: A Coverage Response Approach," Future Internet, MDPI, vol. 11(3), pages 1-15, March.
    3. Junyan Han & Xiaoyuan Wang & Gang Wang, 2022. "Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review," Sustainability, MDPI, vol. 14(13), pages 1-27, July.
    4. Wang, Pengcheng & Yu, Guizhen & Wu, Xinkai & Qin, Hongmao & Wang, Yunpeng, 2018. "An extended car-following model to describe connected traffic dynamics under cyberattacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 351-370.
    5. Francesco Carrino & Elena Mugellini & Omar Abou Khaled & Nabil Ouerhani & Juergen Ehrensberger, 2016. "iNUIT: Internet of Things for Urban Innovation," Future Internet, MDPI, vol. 8(2), pages 1-21, May.
    6. Rini Rachmawati & Estuning Tyas Wulan Mei & Idea Wening Nurani & Rizki Adriadi Ghiffari & Amandita Ainur Rohmah & Martina Ayu Sejati, 2021. "Innovation in Coping with the COVID-19 Pandemic: The Best Practices from Five Smart Cities in Indonesia," Sustainability, MDPI, vol. 13(21), pages 1-30, November.
    7. Xin Tian & Mengmeng Shi & Mengyu Shao & Binghong Pan, 2023. "Calculation Method of Deceleration Lane Length and Slope Based on Reliability Theory," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
    8. Dino Giuli, 2018. "Ecosystemic Evolution Fed by Smart Systems," Future Internet, MDPI, vol. 10(3), pages 1-3, 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:jftint:v:10:y:2018:i:2:p:15-:d:129731. 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.