GCA

Work Description:
My research focuses on road traffic in the sustainable and smart city context. Brazilian cities face serious urban mobility problems as a result of fast and unorganised urban growth, which has encouraged the use of individual vehicles, resulting in traffic congestion and increased pollution. Although using public transport is considered a sustainable method to reduce pollution emissions, it is important to remember that most buses still run on diesel; these emissions can not be disregarded. The environmental problems caused by current vehicles require short and medium-term solutions to improve efficiency. The use of Information and Communication Technologies (ICT) is essential for the implementation of an intelligent mobility system. The data ICT collects can be used to optimise the efficiency of public transport, which can help meet environmental targets. In addition, eco-driving can help save fuel, reduce greenhouse gas emissions, and promote the adoption of eco-friendly driving behaviour. Our investigation is about sustainable mobility; we aim to reduce pollutant gas emissions from urban public transport networks. Using a computational optimisation model based on data received by IoT monitoring devices, we propose punctual, low-cost changes to route timetables as well as potential changes to bus stops.