Shaurya Agarwal

TL;DR: In this paper, a sample of 570 social networking participants using the generations of baby boomers, generation X, and millennials with fuzzy set qualitative comparative analysis (fsQCA) was analyzed, finding that affinity, belonging, interactivity, and innovativeness are all base expectations for social media networking usage, depending on the generational cohort.

TL;DR: In this paper, the authors examine social media networking as an experiential phenomenon, wherein consumers pursue virtual happiness by satisfying the self-determination theory (SDT) needs of relatedness, competence, and autonomy.

TL;DR: This paper presents a novel approach for studying the observability problem on highway segments by utilizing linearized traffic dynamics about steady-state flows and presents a method for comparing scenarios having different sensor placements along a highway.

TL;DR: A traffic allocation scheme for ramps based on Godunov's numerical method and using a distributive model to construct a control condition for regulating the traffic density at critical density and shows the stability properties of the closed-loop system.

TL;DR: In this paper, a deep learning neural network is trained with the strength of the physical law governing traffic flow to better estimate traffic conditions, and a case study is conducted where the accuracy and convergence-time of the algorithm are tested for varying levels of observed traffic density data.