최단경로 기반 교통량 공간 예측에 관한 연구

A Study on the Prediction of Traffic Counts Based on Shortest Travel Path

초록

In this paper, we suggest a spatial regression model to predict AADT. AlthoughEuclidian distances between one monitoring site and its neighboring sites were usuallyused in the many analysis, we consider the shortest travel path between monitoringsites to predict AADT for unmonitoring site using spatial regression model. We useduniversal Kriging method for prediction and found that the overall predictive capabilityof the spatial regression model based on shortest travel path is better than that of themodel based on multiple regression by cross validation.

키워드

Cross-validation; semivariogram; annual average daily tra±c; Kriging.
제목
최단경로 기반 교통량 공간 예측에 관한 연구
제목 (타언어)
A Study on the Prediction of Traffic Counts Based on Shortest Travel Path
저자
허태영; 박만식; 엄진기; 오주삼
발행일
2007-11
저널명
응용통계연구
권
20
호
3
페이지
459 ~ 473