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The Journal of The Korea Institute of Intelligent Transport Systems Vol.1 No.1 pp.41-51
지점검지체계를 이용한 남산1호터널 구간통행시간 추정
The Estimation of Link Travel Time for the Namsan Tunnel $\#$1 using Vehicle Detectors
Abstract
As Advanced Traveler Information System(ATIS) is the kernel of the Intelligent Transportation System, it is very important how to manage data from traffic information collectors on a road and have at borough grip of the travel time's change quickly and exactly for doing its part. Link travel time can be obtained by two method. One is measured by area detection systems and the other is estimated by point detection systems. Measured travel time by area detection systems has the limitation for real time information because it Is calculated by the probe which has already passed through the link. Estimated travel time by point detection systems is calculated by the data on the same time of each. section, this is, it use the characteristic of the various cars of each section to estimate travel time. For this reason, it has the difference with real travel time. In this study, Artificial Neural Networks is used for estimating link travel time concerned about the relationship with vehicle detector data and link travel time. The method of estimating link travel time are classified according to the kind of input data and the Absolute value of error between the estimated and the real are distributed within 515minute over 90 percent with the result of testing the method using the vehicle detector data and AVI data of Namsan Tunnel $1. It also reduces Time lag of the information offered time and draws late delay generation and dissolution.
