TITLE:
Perspective of Adaptive CN System for Forecasting Congestion of Road Traffic Flow
AUTHORS:
Tasuku Takagi
KEYWORDS:
CN for Road Network, Characteristic Speed, Critical Speed, Road Traffic Optimization
JOURNAL NAME:
Communications and Network,
Vol.6 No.2,
May
8,
2014
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.