Search Results for author:
Found 7 papers, 2 papers with code
Artificial Intelligence for Smart Transportation
Second, we provide an overview of how AI can aid decision-making with a focus on transportation.
Rolling Horizon based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows
In smaller problem instances, the baseline approach is as competitive as our framework.
ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria
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.
An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services
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.
Efficient Data Management for Intelligent Urban Mobility Systems
Modern intelligent urban mobility applications are underpinned by large-scale, multivariate, spatiotemporal data streams.
Computers and Society
Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service
Our results show that the proposed algorithms are scalable and can reduce energy use and, hence, environmental impact and operational costs.
Data-Driven Prediction of Route-Level Energy Use for Mixed-Vehicle Transit Fleets
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.
