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Public investment and electric vehicle design: a model-based market analysis framework with application to a USA–China comparison study

Namwoo Kang, Yi Ren, Fred M. Feinberg, Panos Y. Papalambros
2016 Design Science  
Earlier studies have shown that government investment can create EV market growth, and that manufacturers and charging station operators must cooperate to achieve overall profitability.  ...  Under the modeling assumptions of the framework, we find that high customer sensitivity to prices, combined with manufacturer and charging station operator profit maximization strategies, can render government  ...  We presented a multidisciplinary framework to analyze quantitatively the effect of government public policies on the EV market, through modeling the decisions of government, manufacturers, charging station  ... 
doi:10.1017/dsj.2016.7 fatcat:htyejub3tvfmxosjm56brnrxdq

Stochastic transit equilibrium

Cristián E. Cortés, Pedro Jara-Moroni, Eduardo Moreno, Cristobal Pineda
2013 Transportation Research Part B: Methodological  
We present a transit equilibrium model in which boarding decisions are stochastic.  ...  We prove existence of equilibrium in the simplified case of parallel lines (stochastic common-lines problem) and provide a formulation for a more general network problem (stochastic transit equilibrium  ...  within the transit network, with the objective of predicting equilibrium conditions under hypothetical scenarios, with the final goal of studying the potential benefits of high impact public transport  ... 
doi:10.1016/j.trb.2013.02.001 fatcat:eo3r3bgjffgyrc2tulwdtkpdua

Equilibrium models in multimodal container transport systems

Francesco Corman, Francesco Viti, Rudy R. Negenborn
2015 Flexible Services and Manufacturing Journal  
One dynamic involves a learning dynamic converging towards an equilibrium (day-to-day) situation, reflecting the reaction of the players towards the action of the others.  ...  In order to study this interplay, we propose an assignment model that is able to efficiently determine flows and costs in a multimodal network.  ...  creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a  ... 
doi:10.1007/s10696-015-9224-4 fatcat:gdyvrymwfne7bgebz2sk563qea

Equilibrium and non-equilibrium models of the power markets

Reza Shahrjerdi
2012 African Journal of Business Management  
This study offers review of the most appropriate works related to electricity market models, like the equilibrium and non-equilibrium models, and some other related areas of research, like optimization  ...  The agent and Cournot based supply function has non-equilibrium and equilibrium simulation models under the conditions of both imperfect and perfect competition.  ...  where medium-time (a month to a year) studies.  ... 
doi:10.5897/ajbm12.049 fatcat:hoa2eygqi5c2rcyawoyueohupa

Markovian Traffic Equilibrium Assignment based on Network Generalized Extreme Value Model [article]

Yuki Oyama, Yusuke Hara, Takashi Akamatsu
2021 arXiv   pre-print
This study establishes Markovian traffic equilibrium assignment based on the network generalized extreme value (NGEV) model, which we call NGEV equilibrium assignment.  ...  This study addresses the research gap by providing the theoretical developments necessary for the NGEV equilibrium assignment.  ...  Acknowledgements This study was supported by JSPS KAKENHI, Grant Numbers 18H01551 and 20K14899.  ... 
arXiv:2009.02033v3 fatcat:yilt2znrcbhxrba7dtxghfxwfm

Is "Morphodynamic Equilibrium" an oxymoron?

Zeng Zhou, Giovanni Coco, Ian Townend, Maitane Olabarrieta, Mick van der Wegen, Zheng Gong, Andrea D'Alpaos, Shu Gao, Bruce E. Jaffe, Guy Gelfenbaum, Qing He, Yaping Wang (+4 others)
2017 Earth-Science Reviews  
In the "virtual" world numerical, 63 analytical and physical studies developed through the processes of abstrac-64 tion and implementation can evaluate the equilibrium of, for example, a tidal 65 4 network  ...  Modelling 9 studies rely on simplifications of the real world and lead to understanding of 10 process interactions.  ...  of the system towards a specific configuration.  ... 
doi:10.1016/j.earscirev.2016.12.002 fatcat:wetqzyumpjafxnuzi3554wp4nq

Vapor-liquid equilibrium predictions of n-alkane/nitrogen mixtures using neural networks [article]

Suman Chakraborty, Yixuan Sun, Guang Lin, Li Qiao
2020 arXiv   pre-print
The study of vapor-liquid equilibrium (VLE) curves also forms an integral part of the design and modeling of the control processes in chemical and oil-gas industries.  ...  Both the models showed better performance (less average absolute percentage error) in predicting equilibrium pressure of the binary mixtures as compared to the VLE modeled using Peng-Robinson equation  ...  Conclusions Data-driven learning-based unified models were proposed in this study to predict the vapor-liquid equilibrium of n-decane/nitrogen and n-dodecane/nitrogen binary mixtures.  ... 
arXiv:2012.12928v1 fatcat:o35eibx4frgqlpukbh6mk2hobq

Equilibrium to off-equilibrium crossover in homogeneous active matter [article]

Andrea Cavagna, Luca Di Carlo, Irene Giardina, Tomás S. Grigera, Giulia Pisegna
2020 arXiv   pre-print
We study the crossover between equilibrium and off-equilibrium dynamical universality classes in the Vicsek model near its ordering transition.  ...  The equilibrium-to-off-equilibrium crossover is ruled by a characteristic length scale beyond which active dynamics takes over.  ...  flowing towards the fixed point.  ... 
arXiv:2009.01169v1 fatcat:5bkuuqu3mrel3npu2hgrfbxaua

The least-control principle for learning at equilibrium [article]

Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald, João Sacramento
2022 arXiv   pre-print
As special cases, they include models of great current interest in both neuroscience and machine learning, such as equilibrium recurrent neural networks, deep equilibrium models, or meta-learning.  ...  Our principle casts learning as a least-control problem, where we first introduce an optimal controller to lead the system towards a solution state, and then define learning as reducing the amount of control  ...  We thank Angelika Steger, Benjamin Scellier, Walter Senn, Il Memming Park, Blake A. Richards, Rafal Bogacz, and members of the Senn and Bogacz labs for discussions.  ... 
arXiv:2207.01332v1 fatcat:7ebqaqd6ubcfjpogppkwuufgri

Punctuated Equilibrium Theory and the Diffusion of Innovations

Graeme Boushey
2012 Policy Studies Journal  
The article argues that punctuated equilibrium theory provides a unifying framework for understating three mechanisms leading to the diffusion of innovations: gradual policy diffusion driven by incremental  ...  This article builds on punctuated equilibrium theory to evaluate the diffusion of public policy innovations in the United States.  ...  network of advocacy organization ).  ... 
doi:10.1111/j.1541-0072.2011.00437.x fatcat:nspc6lesjbavpeug4yhsw24b6i

Information Provision Strategies Eliminating Deluded Equilibrium Caused by Travellers' Misperception

Takahiko Kusakabe, Yuta Nakano
2015 Transportation Research Procedia  
This study formulated a dynamic traffic assignment model in origin-destination (OD) pair with two parallel routes, while considering travellers' learning processes and within-day and day-to-day dynamics  ...  Furthermore, the information is often asymmetrically provided within the network, owing to the limitations of observation devices, prediction model calibration, and uncertainty about road conditions.  ...  In Section 2, we formulated a dynamic traffic assignment model in a two-link network, while considering travellers' learning processes and within-day and day-to-day dynamics.  ... 
doi:10.1016/j.trpro.2015.06.031 fatcat:7gbpfvegm5ao3nnjspnkobjql4

Trading Networks and Equilibrium Intermediation

Maciej H. Kotowski, C. Matthew Leister
2018 Social Science Research Network  
A free-entry process governs the formation of equilibrium networks.  ...  Our model suggests that the gain  ...  Gofman (2011) proposes a model of an economic network to study financial transactions.  ... 
doi:10.2139/ssrn.3104754 fatcat:4azetdbvcnbl7ao3ryzmtws4am

On Equilibrium Metropolis Simulations on Self-Organized Urban Street Networks [article]

Jerome Benoit, Saif Eddin Jabari
2021 arXiv   pre-print
Our Metropolis adaptation to self-organized urban street networks thusly appears as a scaling variant of the Watts-Strogatz model.  ...  We thus expect Metropolis simulations to reveal that self-organized urban street networks, besides sustaining scale-freeness over a wide range of scalings, undergo a crossover as scaling varies -- literature  ...  Acknowledgements This work was supported by the NYUAD Center for Interacting Urban Networks (CITIES), funded by Tamkeen under the NYUAD Research Institute Award CG001 and by the Swiss Re Institute under  ... 
arXiv:1911.08358v4 fatcat:f4sqixjbtvbphokj232fg3lqsu

A Finite Time Combinatorial Algorithm for Instantaneous Dynamic Equilibrium Flows [article]

Lukas Graf, Tobias Harks
2022 arXiv   pre-print
Instantaneous dynamic equilibrium (IDE) is a standard game-theoretic concept in dynamic traffic assignment in which individual flow particles myopically select en route currently shortest paths towards  ...  Although IDE have been studied for decades, several fundamental questions regarding equilibrium computation and complexity are not well understood.  ...  Since then, dynamic equilibria have been studied extensively in the transportation science literature, see Friesz et al. [9] .  ... 
arXiv:2007.07808v4 fatcat:bybdx36rvncztcua53qg7yjhiu

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons [article]

Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
2021 arXiv   pre-print
We introduce Latent Equilibrium, a new framework for inference and learning in networks of slow components which avoids these issues by harnessing the ability of biological neurons to phase-advance their  ...  In hierarchical models of cortical networks each layer thus introduces a response lag.  ...  A very special thank you goes to Ellis, for his uniquely wholesome influence during the final stretch of this work.  ... 
arXiv:2110.14549v1 fatcat:gbypwhc4rfcjbh5s5qlm7ds67a
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