Traffic Flow Indicator: Predicting Jams in a City

Road traffic inside cities is responsible for noise and pollution, that causes health problems, fuel consumption and waste of time in jams. Mitigation solutions are usually used to soften the impact of this problem in most cities. In particular, the city of Lisbon has taken measures to reduce pollut...

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Bibliographic Details
Main Authors: Vaz, Joao, Datia, Nuno, Pato, Matilde, Pires, Joao Moura
Format: Conference Proceeding
Language:English
Subjects:
machine learning
Particle measurements
Pollution
Prediction algorithms
Predictive models
Roads
traffic flow forecasting
traffic flow indicator
Urban areas
Visual analytics
Online Access:Request full text
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Summary:Road traffic inside cities is responsible for noise and pollution, that causes health problems, fuel consumption and waste of time in jams. Mitigation solutions are usually used to soften the impact of this problem in most cities. In particular, the city of Lisbon has taken measures to reduce pollution by closing areas of the city to the most polluting cars - the zero emission zones. However, the city still lacks visual analytics support for traffic decisions in real-time. In this paper we present a traffic flow indicator that can indicate the road traffic fluidity inside a region of interest for a given time frame, and integrated it into a interactive dashboard supported by a predictive model. With this solution, decision makers can analyse historical data and predict short-term traffic behaviour.
ISSN:2375-0138
DOI:10.1109/IV56949.2022.00056