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Results for “optimality”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Optimality of Gaussian receivers for practical Gaussian distributed sensing
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Optimized interatomic potential for silicon and its application to thermal stability of silicene
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Constrained density functional theory calculation with iterative optimization
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Noncooperatively Optimized Tolerance: Decentralized Strategic Optimization in Complex Systems
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Quasiparticle Spectra from a Nonempirical Optimally Tuned Range-Separated Hybrid Density Functional
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Hard to Soft Pomeron Transition in Small- x Deep Inelastic Scattering Data Using Optimal Renormalization
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Optimizing surface defects for atomic-scale electronics: Si dangling bonds
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Generation of stable subfemtosecond hard x-ray pulses with optimized nonlinear bunch compression
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Potential Thermoelectric Performance from Optimization of Hole-Doped Bi 2 Se 3
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Structuring the Optimal Output Feedback Control Gain: A Soft Constraint Approach.
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Optimizing Distributed Load Balancing for Workloads with Time-Varying Imbalance.
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Optimizing a Compressive Imager for Machine Learning Tasks.
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Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance.
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Optimizing Traffic Signal Control to Enhance Transportation Efficiency and Maximize Pedestrian Benefits in the Road Network
Increasing urban mobility requirements demand efficient transportation system strategies for both vehicular and pedestrian movement. This study enhances the Decentralized Graph-based Multi-Agent Reinforcement Learning (DGMARL) approach, originally tailored for vehicular traffic signal timing, to incorporate pedestrian traffic dynamics. The improved algorithm considers crucial metrics such as Eco_PI, assesses vehicle fuel consumption by factoring in stops and delays, and addresses pedestrian waiting time, crucial for system efficiency while acknowledging driver waiting time impact. Utilizing Digital Twin simulation along the MLK Smart Corridor in Chattanooga, Tennessee, the algorithm's performance is compared for various pedestrian control scenarios. To evaluate the effectiveness of DGMARL, this study compared DGMARL-enabled signal management with automated pedestrian traffic detection and an actuated signal management system (real-word baseline) with pedestrian recall, which predetermingly enforces a pedestrian phase every cycle. Findings indicate substantial improvements with DGMARL, showing a 28.29% enhancement in vehicle Eco_PI, a 60.55 % reduction in pedestrian waiting time, and a 55.74% decrease in driver stop delay, on average, compared to the baseline actuated signal timing plan.