8 citations · 20 across the 14 of their papers we have counts for
17 papers
TrajGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations
Maria Despoina Siampou, Gengchen Mai, Ni Lao +4
Many urban prediction tasks depend not only on the static attributes of a location, such as the visual appearance of its built environment, but also on its dynamic function: how pe…
Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement
Maria Despoina Siampou, Shushman Choudhury, Shang-Ling Hsu +2
Recent progress in geospatial foundation models highlights the importance of learning general-purpose representations for real-world locations, particularly points-of-interest (POI…
S2Vec: Self-Supervised Geospatial Embeddings for the Built Environment
Shushman Choudhury, Elad Aharoni, Chandrakumari Suvarna +4
Scalable general-purpose representations of the built environment are crucial for geospatial artificial intelligence applications. This paper introduces S2Vec, a novel self-supervi…
Scalable Learning of Segment-Level Traffic Congestion Functions
Shushman Choudhury, Abdul Rahman Kreidieh, Iveel Tsogsuren +3
We propose and study a data-driven framework for identifying traffic congestion functions (numerical relationships between observations of traffic variables) at global scale and se…
Estimating Driver Response Rates to Variable Message Signage at Seattle-Tacoma International Airport
Soumya Vasisht, Shushman Choudhury, Nawaf Nazir +2
We apply Bayesian Linear Regression to estimate the response rate of drivers to variable message signs at Seattle-Tacoma International Airport, or SeaTac. Our approach uses vehicle…
Mitigating Landside Congestion at Airports through Predictive Control of Diversionary Messages
Nawaf Nazir, Soumya Vasisht, Shushman Choudhury +2
We present a data-driven control framework for adaptively managing landside congestion at airports. Ground traffic significantly impacts airport operations and critical efficiency,…
Optimal, centralized dynamic curbside parking space zoning
Nawaf Nazir, Shushman Choudhury, Stephen Zoepf +2
In this paper we formulate a dynamic mixed integer program for optimally zoning curbside parking spaces subject to transportation policy-inspired constraints and regularization ter…
Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks
Shushman Choudhury, Kiril Solovey, Mykel Kochenderfer +1
We address the problem of routing a team of drones and trucks over large-scale urban road networks. To conserve their limited flight energy, drones can use trucks as temporary mode…
Scalable Anytime Planning for Multi-Agent MDPs
Shushman Choudhury, Jayesh K. Gupta, Peter Morales +1
We present a scalable tree search planning algorithm for large multi-agent sequential decision problems that require dynamic collaboration. Teams of agents need to coordinate decis…
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints
Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer +2
We consider the problem of dynamically allocating tasks to multiple agents under time window constraints and task completion uncertainty. Our objective is to minimize the number of…
Adaptive Informative Path Planning with Multimodal Sensing
Shushman Choudhury, Nate Gruver, Mykel J. Kochenderfer
Adaptive Informative Path Planning (AIPP) problems model an agent tasked with obtaining information subject to resource constraints in unknown, partially observable environments. E…
Efficient Large-Scale Multi-Drone Delivery Using Transit Networks
Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer +1
We consider the problem of controlling a large fleet of drones to deliver packages simultaneously across broad urban areas. To conserve energy, drones hop between public transit ve…
Hybrid Planning for Dynamic Multimodal Stochastic Shortest Paths
Shushman Choudhury, Mykel J. Kochenderfer
Sequential decision problems in applications such as manipulation in warehouses, multi-step meal preparation, and routing in autonomous vehicle networks often involve reasoning abo…
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning
Shushman Choudhury, Jacob P. Knickerbocker, Mykel J. Kochenderfer
We introduce the problem of Dynamic Real-time Multimodal Routing (DREAMR), which requires planning and executing routes under uncertainty for an autonomous agent. The agent has acc…
Anytime Motion Planning on Large Dense Roadmaps with Expensive Edge Evaluations
Shushman Choudhury, Oren Salzman, Sanjiban Choudhury +2
We propose an algorithmic framework for efficient anytime motion planning on large dense geometric roadmaps, in domains where collision checks and therefore edge evaluations are co…
Hybrid DDP in Clutter (CHDDP): Trajectory Optimization for Hybrid Dynamical System in Cluttered Environments
Shushman Choudhury, Yifan Hou, Gilwoo Lee +1
We present an algorithm for obtaining an optimal control policy for hybrid dynamical systems in cluttered environments. To the best of our knowledge, this is the first attempt to h…
Densification Strategies for Anytime Motion Planning over Large Dense Roadmaps
Shushman Choudhury, Oren Salzman, Sanjiban Choudhury +1
We consider the problem of computing shortest paths in a dense motion-planning roadmap . We assume that~, the number of vertices of , is very large. Th…