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North-Holland

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    Analysis of feed-forward control effect on autonomous driving car-following system

    Song T.Zhu W.-X.
    5页
    查看更多>>摘要:© 2022 Elsevier B.V.In this paper, the feed-forward control effect is introduced into the car-following system, which combines the proportional differentiation and velocity feedback effect to form a new compound compensation method to improve the stability and rapidity of the traffic flow system. The unit step input response in time domain analysis method is used to analyze the system and the feed-forward effect of the system. Using the small gain theorem and the Rouse criterion, we obtain the stability conditions of the improved system and obtain the neutral stability curves. Next, setting up simulation experiments discuss the influence of feed-forward effect on autonomous traffic flow system. The results show that the introduction of feed-forward effect can effectively improve the rapidity of traffic flow system responding to disturbances. Combined with appropriate proportional differentiation and velocity feedback, the system can be both stability and rapidity, which is meaningful for autonomous driving.

    Vector gap solitons of a binary Bose–Einstein condensate in honeycomb optical lattice

    Meng H.Wang J.Fan X.Wang Q....
    5页
    查看更多>>摘要:© 2022 Elsevier B.V.We investigate the formation and dynamic stabilities of vector gap solitons in a binary Bose–Einstein condensate (BEC) loaded in a honeycomb optical lattice. The existence of vector gap solitons is sensitive to the properties of intraspecies and interspecies atomic interactions. We numerically obtain the phase diagram for observing vector gap solitons on the parameter plane of intraspecies and interspecies atomic interactions. Particularly, it is found that the two components of vector gap solitons are always miscible with each other regardless of whether the intraspecies or the interspecies atomic interaction is dominant. We further verify the dynamic stabilities of these vector gap solitons, which depend on the location of soliton in the bandgap. These results have potential application to investigations of localized structures in nonlinear optics.

    Collective motion of chiral particles based on the Vicsek model

    Zhang B.-Q.Shao Z.-G.
    5页
    查看更多>>摘要:© 2022 Elsevier B.V.The research of chiral particles is of great significance to understanding the collective behavior of biomolecules. In this paper, we research the collective motion of chiral particles based on the Vicsek model using computer numerical simulations. When there is no noise, it is found that there is a critical coupling density ρc. When the coupling density of the particle is smaller than the critical coupling density, the order parameter of the particle will decrease with the increase of the chirality. When the coupling density is greater than the critical coupling density, the order parameter does not change with the chirality. In addition, the critical coupling density decreases as the particle number N and decoupled parameter L/r increase, but first decreases and then increases as the decoupled parameter v/r increases. Further, when there is noise, the order parameter of the particle with small coupling density or small noise amplitude will decrease with the increase of chirality, whereas the order parameter with large coupling density or large noise amplitude will not change. Our results improve the collective motion properties of chiral self-propelled particles. Besides, our work may inspire new strategies for manipulating self-propelled particles with different chirality to maintain a highly ordered state.

    Out-of-sample forecasting of cryptocurrency returns: A comprehensive comparison of predictors and algorithms

    Yae J.Tian G.Z.
    5页
    查看更多>>摘要:© 2022 Elsevier B.V.Existing evidence shows that daily cryptocurrency returns are predictable by publicly available variables. However, a majority of evidence relies on potentially over-fitted in-sample estimation. This paper provides a comprehensive comparison of predictors and forecasting methods in the literature for out-of-sample return predictions of Bitcoin, Ethereum, and Ripple. We find that (1) well-known in-sample predictors such as investor attention and trading volume fail to produce statistically significant out-of-sample predictability, (2) a change in stochastic correlation with stock markets is the only meaningful predictor with out-of-sample R2 up to 2.69%, 1.71%, and 2.12% for Bitcoin, Ethereum, and Ripple, respectively, and (3) forecasting methods greatly differ in their performances; methods that are inspired by economic mechanism outperform universal forecasting methods such as shrinkage estimators, combination forecasts, monitoring forecasts, and various machine learning algorithms that are commonly used in practice.

    Non-Markovianity and efficiency of a q-deformed quantum heat engine

    Naseri-Karimvand H.Lari B.Hassanabadi H.
    5页
    查看更多>>摘要:© 2022 Elsevier B.V.We consider a qubit as a working medium in a deformed quantum Otto cycle using Tsallis statistics. To analyze the engine, we obtain the time evolution of the deformed density matrix in different steps of the cycle using the Lindblad equation. We calculate deformed work done, exchange heat, and cycle efficiency. We present a new and exact formula for the dependence of the above parameters with the non-Markovianity of the system, based on mutual information. It finds that the non-Markovian effects can be a resource to extract work from an Otto cycle.

    Revealing mobility pattern of taxi movements with its travel trajectory

    Cai S.-M.Zhou T.Zhao Z.-D.Nie W.-P....
    5页
    查看更多>>摘要:© 2022 Elsevier B.V.Taxi movements contain much mobility information of passengers and taxi drivers in a city. However, previous researches often overlook the continuous movements of a single taxi. In this paper, we study the mobility pattern of taxi movements by analyzing the visiting sequences which record the cells (i.e., locations) being visited by taxis. At the collective level, we observe the weak power-law scaling exists in the relation between the number of visits of a cell and the corresponding number of taxis. At the individual level, we notice some unusual characteristics of continuous movements of a single taxi: (i) the number of different cells that have been visited increase with the visit number and shows a robust scaling behavior; (ii) the cell's visiting frequency decreases with the rank of the cell and presents as a logarithm function; (iii) The distribution of the number of visits taken to revisit one cell presents as an exponential distribution. The empirical result demonstrates that the taxi movements do follow the unified pattern and show a stronger exploration tendency and weaker preferential return than other human dynamics. Finally, we utilize an agent-based model to reveal and understand the unified pattern of taxi movements. The model results indicate that the rank distribution is an intrinsic characteristic to explore the taxi destination choice and simulate the taxi movements.