Herein, the problem of multi-class classification of participatory civil issue reports in crowdsourcing platforms is addressed. Specifically, an efficient method is proposed to guide the selection of heterogeneous features, so as to account for …
Online feature selection and classification is crucial for time sensitive decision making. Existing work however either assumes that features are independent or produces a fixed number of features for classification. Instead, we propose an optimal …
In this paper, the automatic classification of non-emergency civil issues in crowdsourcing systems is addressed in the case where multiple feature sets are available. We recognize that multiple feature sets can contain useful complementary …
Empowering citizens to interact directly with their local governments through civic engagement platforms has emerged as an easy way to resolve urban issues. However, for authorities to manually process reported issues is both impractical and …
In this paper, the problem of detecting freeway accidents in real-time based on speed readings from spatially distributed road sensors of variable accuracy is addressed. To ensure robust decision-making, a novel two-stage approach is proposed. …
The increase of motor vehicle accidents over the past decades has made their early and accurate detection crucial not only for saving human lives, but also for decreasing time and energy wasted due to congestion. Unlike existing work that has thus …
Accurate traffic accident detection is crucial to improving road safety conditions and route navigation, and to making informed decisions in urban planning among others. This paper proposes a Bayesian quickest change detection approach for accurate …
Civic engagement platforms such as SeeClickFix and FixMyStreet have revolutionized the way citizens interact with local governments to report and resolve urban issues. However, recognizing which urban issues are important to the community in an …
Accurate traffic accident detection constitutes a key step in a variety of processes ranging from improving road safety conditions and route navigation, to making informed decisions in urban planning. This paper proposes a Bayesian quickest change …