TY - GEN
T1 - Analysis of road performance and traffic demand variations by the seasons
AU - Kim, Jinyoung
AU - Kurauchi, Fumitaka
AU - Uno, Nobuhiro
PY - 2008/12/1
Y1 - 2008/12/1
N2 - This paper investigates variations of road performance and traffic demand by the seasons on urban expressway. Authors have been analysing the influence of several external factors such as time of a day, day of a week, weather and commercial custom onto fluctuations of road performance and traffic demand in the former study (1). And it was concluded that all the factors except commercial custom have a big influence onto the performance and demand. The season is considered as a new external factor in this study. Travel time obtained by automatic license plate detector is used for grasping the road performance and its variation. The path flows estimated by a dynamic path flow estimation model are used as a traffic demand. For clarifying the reason of the road performance degradation, the relationship between the performance and the demand is analysed utilising cluster analysis. It is found that the season is one of the most important external factors on the variations of performance and demand.
AB - This paper investigates variations of road performance and traffic demand by the seasons on urban expressway. Authors have been analysing the influence of several external factors such as time of a day, day of a week, weather and commercial custom onto fluctuations of road performance and traffic demand in the former study (1). And it was concluded that all the factors except commercial custom have a big influence onto the performance and demand. The season is considered as a new external factor in this study. Travel time obtained by automatic license plate detector is used for grasping the road performance and its variation. The path flows estimated by a dynamic path flow estimation model are used as a traffic demand. For clarifying the reason of the road performance degradation, the relationship between the performance and the demand is analysed utilising cluster analysis. It is found that the season is one of the most important external factors on the variations of performance and demand.
KW - Dynamic path flow estimation
KW - Road performance variation
KW - Traffic demand variation
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M3 - Conference contribution
AN - SCOPUS:84879017965
SN - 9781615677566
T3 - 15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008
SP - 959
EP - 970
BT - 15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008
T2 - 15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008
Y2 - 16 November 2008 through 20 November 2008
ER -