Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)
- Volume 22 Issue 50
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- Pages.221-230
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- 1999
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- 2005-0461(pISSN)
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- 2287-7975(eISSN)
A Neural Network Model to Recognize the Pattern of Intra-City Vehicle Travel Speeds for Truck Dispatching System
배차계획시스템을 위한 도시내 차량이동속도 패턴인식 신경망 모델
Abstract
The important issue for intra-city truck dispatching system is to measure and store actual travel speeds between customer locations. Travel speeds(and times) in nearly all metropolitan areas change drastically during the day because of congestion in certain parts of the city road network. We propose a back-propagation neural network model to recognize the pattern of intra-city vehicle travel speeds between locations that relieve much burden for the data collection and computer storage requirements. On a real-world study using the travel speed data[1] collected in Seoul, we evaluate performance of neural network model and compare with Park & Song model[2] that employs the least square method.
Keywords