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.
1 code implementation • 25 Apr 2022 • Amutheezan Sivagnanam, Salah Uddin Kadir, Ayan Mukhopadhyay, Philip Pugliese, Abhishek Dubey, Samitha Samaranayake, Aron Laszka
Vehicle routing problems (VRPs) can be divided into two major categories: offline VRPs, which consider a given set of trip requests to be served, and online VRPs, which consider requests as they arrive in real-time.
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 • 30 Jun 2021 • Ruixiao Sun, Rongze Gui, Himanshu Neema, Yuche Chen, Juliette Ugirumurera, Joseph Severino, Philip Pugliese, Aron Laszka, Abhishek Dubey
Public-transit systems face a number of operational challenges: (a) changing ridership patterns requiring optimization of fixed line services, (b) optimizing vehicle-to-trip assignments to reduce maintenance and operation codes, and (c) ensuring equitable and fair coverage to areas with low ridership.
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.