most citedA Markov Process Inspired Cellular Automata Model of Road Traffic

24 citations · 49 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2009

A Mixed-Fractal Model for Network Traffic

Li Li, Yudong Chen, Yi Zhang

In this short paper, we propose a new multi-fractal flow model, aiming to provide a possible explanation for the crossover phenomena that appear in the estimation of Hurst exponent…

cs.IT20091 cited

Quantization Errors of fGn and fBm Signals

Zhiheng Li, Li Li, Yudong Chen +1

In this Letter, we show that under the assumption of high resolution, the quantization errors of fGn and fBm signals with uniform quantizer can be treated as uncorrelated white noi…

physics.data-an200814 cited

Fluctuations and Pseudo Long Range Dependence in Network Flows: A Non-Stationary Poisson Process Model

Yudong Chen, Li Li, Yi Zhang +1

In the study of complex networks (systems), the scaling phenomenon of flow fluctuations refers to a certain power-law between the mean flux (activity) of the th node and…

physics.data-an200824 cited

A Markov Process Inspired Cellular Automata Model of Road Traffic

Fa Wang, Li Li, Jianming Hu +6

To provide a more accurate description of the driving behaviors in vehicle queues, a namely Markov-Gap cellular automata model is proposed in this paper. It views the variation of…

physics.data-an200810 cited

Modeling Spacing Distribution of Queuing Vehicles in Front of a Signalized Junction Using Random-Matrix Theory

Xuexiang Jin, Yuelong Su, Yi Zhang +1

Modeling of headway/spacing between two consecutive vehicles has many applications in traffic flow theory and transport practice. Most known approaches only study the vehicles runn…