Clare O'Dwyer
Papers
1
Total Citations
4
H-Index
1
About
Clare O’Dwyer’s research lies at the intersection of urban logistics, autonomous systems, and scalable last-mile delivery. Her most-cited work, “A Scalable Last-Mile Delivery Service: From Simulation to Scaled Experiment” (2022), tackles the complex problem of selecting up to N available vehicles for efficient parcel distribution. By bridging the gap between theoretical simulation and real-world scaled experiments, O’Dwyer provides a robust framework for optimizing fleet coordination in dynamic urban environments—a critical challenge as e-commerce demand surges. This paper has garnered 4 citations, establishing her as an emerging voice in logistics optimization. Her contributions extend beyond theory; she emphasizes practical, deployable solutions that account for vehicle availability and routing constraints, directly informing the design of next-generation delivery systems. O’Dwyer’s work is notable for its methodological rigor, combining computational modeling with experimental validation. For students and researchers in operations research, robotics, or smart city planning, her research offers a clear pathway from algorithmic design to tangible impact, demonstrating how scalable experiments can validate complex logistical models before real-world implementation.
Research Focus
Key Achievements
Top Papers
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