Flow and Density Difference Lattice Model and its Numerical Simulations Analysis

Hao Dai; Zhen Zhou Yuan; Jun Fang Tian

doi:10.4028/www.scientific.net/AMR.605-607.2461

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Applying RBF Neural Networks and Genetic Algorithms to Nonlinear System Optimization
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Flow and Density Difference Lattice Model and its Numerical Simulations Analysis
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An Intelligent Method Optimizing BP Neural Network Model
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Error Resilience Scheme for Real-Time Video
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A Framework for Filtrating Software Measures in Software Measurement Process
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607Flow and Density Difference Lattice Model and its...

Flow and Density Difference Lattice Model and its Numerical Simulations Analysis

Abstract:

Based on Nagatani’s model, an extended car following model named flow and density difference lattice model (FDDLM) was proposed. Using the linear stability theory, the stability condition of the new model was obtained. The phase diagram presents that density difference effect is more efficiently than flow difference effect in improving the traffic flow stability and FDDLM could suppress traffic jam effectively. The numerical simulations are consonant with the analytical results and show that considering the flow and density difference leads to the stabilization of the system.