Ding-wei Huang

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We study the lane-changing behavior in multilane highway modeling by a cellular automaton. We analyze the effects of speed limit and stochastic noise. A new parameter is introduced to allow vehicles not to change lanes even when the environmental criteria are met. Without stochastic noise, the lane-changing rate vanishes in the stationary states of a(More)
We study the coauthorship distribution by analyzing the number of coauthors on each paper published in Physical Review Letters and Physical Review for the last decade. We propose that the structure of the distribution can be understood as the result of a two-parameter Poisson process. We develop a dynamic model of dual mechanisms to simulate the personal(More)
The benefits of traffic signal synchronization are examined within the cellular automata approach. The microsimulations of traffic flow are obtained with different settings of signal period T and time delay delta. Both numerical results and analytical approximations are presented. For undersaturated traffic, the green-light wave solutions can be realized.(More)
We study the wealth distribution in random multiplicative processes with random redistribution. The equilibrium distribution can be extended to the negative wealth. The extreme wealths follow power law distributions and the same exponent is found for both the large wealths and the large debts. We propose a mean-field model to emphasize the fluctuations in(More)
We study analytically a cellular automaton model, which is able to present three different traffic phases on a homogeneous highway. The characteristics displayed in the fundamental diagram can be well discerned by analyzing the evolution of density configurations. Analytical expressions for the traffic flow and shock speed are obtained. The synchronized(More)
Motivated by applications in scientometrics, we study the occurrence of first significant digits in Lavalette distribution and in double Pareto distribution. We obtain modifications of Benford’s law. When the exponents are small, significant deviations to Benford’s law are observed; when the exponents are large, the two distributions conform with Benford’s(More)