TY  - JOUR
PY  - 2022//
TI  - A study for development of demand risk model in private highway using deep learning
JO  - Journal of transport research (Seoul)
A1  - Kwon, Hyug, 
A1  - Lee， Man-Hyung, 
A1  - 김남경, 
SP  - 29
EP  - 41
VL  - 29
IS  - 1
N2  - BTO Public-Private Partnership(PPPs) is exposed to various risks. In particular, demand risk, which is an uncertainty in predicting traffic demand, leads to profitability of private projects and acts as the most important risk. It can be said that the main problem in PPP Projects is due to demand risk. There is a limit to reducing the error in predicting traffic demand, which predicts movement based on human behavior. This study developed a model for estimating traffic demand prediction errors through Deep learning by constructing variables related to traffic demand prediction errors.<p />  <p>Language: ko</p>
LA  - ko
SN  - 1738-4028
UR  - http://dx.doi.org/10.34143/JTR.2022.29.1.29
ID  - ref1
ER  -