no code implementations • 14 Aug 2023 • Michael Wilbur, Amutheezan Sivagnanam, Afiya Ayman, Samitha Samaranayeke, Abhishek Dubey, Aron Laszka
Second, we provide an overview of how AI can aid decision-making with a focus on transportation.
1 code implementation • 6 Mar 2023 • Youngseo Kim, Danushka Edirimanna, Michael Wilbur, Philip Pugliese, Aron Laszka, Abhishek Dubey, Samitha Samaranayake
In smaller problem instances, the baseline approach is as competitive as our framework.
no code implementations • 28 Apr 2022 • Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corinne Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, Ayan Mukhopadhyay
More than 5 million children under five years die from largely preventable or treatable medical conditions every year, with an overwhelmingly large proportion of deaths occurring in under-developed countries with low vaccination uptake.
no code implementations • 28 Mar 2022 • Michael Wilbur, Salah Uddin Kadir, Youngseo Kim, Geoffrey Pettet, Ayan Mukhopadhyay, Philip Pugliese, Samitha Samaranayake, Aron Laszka, Abhishek Dubey
Accounting for stochastic requests while optimizing a non-myopic utility function is computationally challenging; indeed, the action space for such a problem is intractably large in practice.
no code implementations • 22 Jan 2021 • Michael Wilbur, Philip Pugliese, Aron Laszka, Abhishek Dubey
Modern intelligent urban mobility applications are underpinned by large-scale, multivariate, spatiotemporal data streams.
Computers and Society
no code implementations • 10 Apr 2020 • Amutheezan Sivagnanam, Afiya Ayman, Michael Wilbur, Philip Pugliese, Abhishek Dubey, Aron Laszka
Our results show that the proposed algorithms are scalable and can reduce energy use and, hence, environmental impact and operational costs.
1 code implementation • 10 Apr 2020 • Afiya Ayman, Michael Wilbur, Amutheezan Sivagnanam, Philip Pugliese, Abhishek Dubey, Aron Laszka
In this paper, we present a novel framework for the data-driven prediction of route-level energy use for mixed-vehicle transit fleets, which we evaluate using data collected from the bus fleet of CARTA, the public transit authority of Chattanooga, TN.