S
Swaroop Darbha
Researcher at Texas A&M University
Publications - 173
Citations - 4338
Swaroop Darbha is an academic researcher from Texas A&M University. The author has contributed to research in topics: Travelling salesman problem & Approximation algorithm. The author has an hindex of 28, co-authored 162 publications receiving 3767 citations. Previous affiliations of Swaroop Darbha include Air Force Research Laboratory & University of California, Berkeley.
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Journal ArticleDOI
Electromagnetic counterparts of compact object mergers powered by the radioactive decay of r‐process nuclei
Brian D. Metzger,Gabriel Martínez-Pinedo,Swaroop Darbha,Eliot Quataert,Almudena Arcones,Daniel Kasen,R. C. Thomas,Peter Nugent,I. V. Panov,I. V. Panov,Nikolaj Thomas Zinner +10 more
TL;DR: In this paper, the authors present the first calculations of the optical transients from compact object mergers that self-consistently determine the radioactive heating by means of a nuclear reaction network; using this heating rate, they model the light curve with a one-dimensional Monte Carlo radiation transfer calculation.
Journal Article
Intelligent Cruise Control Systems and Traffic Flow Stability
TL;DR: In this article, the authors make a clear distinction between traffic flow stability and string stability, and such a dis-tinction has not been recognized in the literature, thus far, thus they make their analysis without adding vehicles to or removing vehicles from the traffic.
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Intelligent cruise control systems and traffic flow stability
TL;DR: This paper analyses the effect of spacing policy employed by the Intelligent Cruise Control (ICC) systems on traffic flow stability and shows that cruise control systems that employ a constant time headway policy lead to unacceptable characteristics for the traffic flows.
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A Resource Allocation Algorithm for Multivehicle Systems With Nonholonomic Constraints
TL;DR: This paper addresses the constraint that captures the inability of a fixed wing aircraft to turn at any arbitrary yaw rate and gives an algorithm to solve this problem by combining ideas from the traveling salesman problem and the path planning literature.
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Benefits of V2V Communication for Autonomous and Connected Vehicles
TL;DR: In this article, the authors investigated the benefits of vehicle-to-vehicle (V2V) communication for autonomous vehicles and provided results on how V2V information helps reduce employable time headway in the presence of parasitic lags.