Artificial Intelligence for Smart Transportation

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.

Decision Making

Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit

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.

Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service

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.

Scheduling

Data-Driven Prediction of Route-Level Energy Use for Mixed-Vehicle Transit Fleets

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.

Scheduling