Abstract
Prior researchers indicate that hydrodynamics models of traffic-flow is lack of description of changing mechanism under urban traffic, and self-organization control system can not explain the dynamic characteristics of urban traffic flow clearly. The aim of the paper is to puts forward an optimized method on control rules that make the united application of hydrodynamics and self-organization system in signal control. The parameter sets of control rules are built from parameter sets of road network which are evolution under hydrodynamic equations such as the length of each lane, phase, queue length and so on .With the aim of the maximum traffic volume at each intersection in the road network, the control rules optimize its parameter sets to adapt to the dynamic change. By means of the computer simulation, the application of signal self-organizing control under hydrodynamic is proved effective in urban traffic.a
Highlights
The urban traffic signal control system is a complex system as the change of traffic flow is complex.The equations are not accurate enough because of some unknown traffic mechanism, on the other hand the higher the degree of discretization is, the easier it is to deviate from the reality.Trafficflow under Hydrodynamics Models are commonly assumed to be continuous fluid and compressible, what makes it good to describe the collective behavior of vehicles
Self-organizing control in urban traffic can linked the intersection to its interaction downstream and upstream which makes the control rules more reasonable, but if the parameter sets of rules are not sensitive to adapt to the change of traffic the evolution of self-organizing are not determined
The aim of this paper is to find more efficiently parameter sets of self-organization signal control, to use Hydrodynamics Models to enhance the description of the dynamics characteristics of the traffic flow
Summary
The urban traffic signal control system is a complex system as the change of traffic flow is complex.The equations are not accurate enough because of some unknown traffic mechanism, on the other hand the higher the degree of discretization is, the easier it is to deviate from the reality.Trafficflow under Hydrodynamics Models are commonly assumed to be continuous fluid and compressible, what makes it good to describe the collective behavior of vehicles. Self-organizing control in urban traffic can linked the intersection to its interaction downstream and upstream which makes the control rules more reasonable, but if the parameter sets of rules are not sensitive to adapt to the change of traffic the evolution of self-organizing are not determined. The aim of this paper is to find more efficiently parameter sets of self-organization signal control, to use Hydrodynamics Models to enhance the description of the dynamics characteristics of the traffic flow. We build the flow distribution module to modify the parameter sets more reasonable
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