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

Giovanni Pau, Tiziana Campisi, Antonino Canale, Alessandro Severino, Mario Collotta, Giovanni Tesoriere

Future Internet · 2018 · 76 citations · 31 references

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TL;DR

Recent IoT research aims to create smart cities that reduce urbanization problems, with a particular focus on improving safety at pedestrian crossings using ICT. This paper proposes a fuzzy logic-based solution to dynamically manage traffic light phases at signalized pedestrian crossings. The approach adjusts traffic light phases based on time of day and pedestrian count, using a fuzzy logic controller. Simulations in Vissim demonstrate the controller’s effectiveness in optimizing crossing management.

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.

References

31