A car-following model for intelligent transportation systems management
Part of : WSEAS transactions on business and economics ; Vol.4, No.5, 2007, pages 78-86
Issue:
Pages:
78-86
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Abstract:
Intelligent Transportation Systems (ITS) needs traffic flow models to provide real time trafficinformation and to analyze traffic properties. This study proposes a new microscopic traffic flow model todescribe car-following process and to represent certain traffic flow phenomena. Driver individual maximumspeed is considered to enable the model to reflect the external environment and driver characteristics. Theproposed model can explain why speeds and spacing differ among drivers even when the driving conditions areidentical. Illustrative simulations are presented. The simulation results indicate that the proposed model isexplainable, and it can represent equilibrium and disequilibrium states of microscopic and macroscopic traffic,such as: stable traffic, unstable traffic, equilibrium speed-flow relationship, closing-in, shying-away, capacitydrop, and traffic hysteresis.
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Subject (LC):
Keywords:
individual maximum speed, traffic phenomena, car-following, driver characteristic, equilibrium state, disequilibrium state, microscopic traffic simulation
Notes:
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