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Article

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

Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy
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Author to whom correspondence should be addressed.
Future Internet 2018, 10(2), 15; https://doi.org/10.3390/fi10020015
Submission received: 3 January 2018 / Revised: 21 January 2018 / Accepted: 30 January 2018 / Published: 1 February 2018

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.
Keywords: fuzzy logic controller; pedestrian crossing; traffic light management; intelligent transportation systems; smart city fuzzy logic controller; pedestrian crossing; traffic light management; intelligent transportation systems; smart city

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MDPI and ACS Style

Pau, G.; Campisi, T.; Canale, A.; Severino, A.; Collotta, M.; Tesoriere, G. Smart Pedestrian Crossing Management at Traffic Light Junctions through a Fuzzy-Based Approach. Future Internet 2018, 10, 15. https://doi.org/10.3390/fi10020015

AMA Style

Pau G, Campisi T, Canale A, Severino A, Collotta M, Tesoriere G. Smart Pedestrian Crossing Management at Traffic Light Junctions through a Fuzzy-Based Approach. Future Internet. 2018; 10(2):15. https://doi.org/10.3390/fi10020015

Chicago/Turabian Style

Pau, Giovanni, Tiziana Campisi, Antonino Canale, Alessandro Severino, Mario Collotta, and Giovanni Tesoriere. 2018. "Smart Pedestrian Crossing Management at Traffic Light Junctions through a Fuzzy-Based Approach" Future Internet 10, no. 2: 15. https://doi.org/10.3390/fi10020015

APA Style

Pau, G., Campisi, T., Canale, A., Severino, A., Collotta, M., & Tesoriere, G. (2018). Smart Pedestrian Crossing Management at Traffic Light Junctions through a Fuzzy-Based Approach. Future Internet, 10(2), 15. https://doi.org/10.3390/fi10020015

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