Perspective of Adaptive CN System for Forecasting Congestion of Road Traffic Flow
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Abstract: Basing upon the Weber-Fechner Law with respect to the stimulus (distance-headway) to the vehicle driver and the driver’s sensation (speed), the characteristic speed Vβ is defined, which is the critical vehicles flow speed just before going to congestion in road traffic flow. From the information of real time measurement of traffic flow speed (V) and time-headway (T) at the specific positions along the road, the value of Vβ is calculated and used for forecasting the flow. Discussed is how to use each Vβ to forecast the congestion. The CN system devoted to the management of road traffic flow is proposed. The idea may contribute not only to easing the traffic flow but also to optimizing it to get high efficient traffic flow.
Cite this paper:
Takagi, T. (2014) Perspective of Adaptive CN System for Forecasting Congestion of Road Traffic Flow. Communications and Network, 6, 61-68. doi: 10.4236/cn.2014.62008.
References
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