The BALTO Toolkit - A New Approach to Ethical and Sustainable Data Collection for Equitable Public Transit
Published in ACM COMPASS '23, 2023
We developed and evaluated novel deep learning architectures that combine spatial, temporal, and mobility features to improve short-term crime prediction accuracy, demonstrating significant improvements over traditional approaches.
Recommended citation: Wu, J., Abrar, S.M., Awasthi, N., Frias-Martinez, E. & Frias-Martinez, V. (2022). Enhancing short-term crime prediction with human mobility flows and deep learning architectures. EPJ Data Science, 11(1), p.53.
Recommended citation: Abrar, S.M.*, Awasthi, N.*, Park, S. & Vitak, J & Frias-Martinez, V. (2022). The BALTO Toolkit - A New Approach to Ethical and Sustainable Data Collection for Equitable Public Transit.
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