Using Electronic Toll Collection Data to Understand Traffic Demand |
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| Authors: | JinYoung Kim Fumitaka Kurauchi Nobuhiro Uno Takeshi Hagihara Takehiko Daito |
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| Institution: | 1. Department of Human-Social Information Sciences, Tohoku University, Sendai, Miyagi, Japan;2. Department of Civil Engineering, Gifu University, Gifu City, Japan;3. Department of Urban Management, Kyoto University, Kyoto, Japan;4. Hanshin Expressway Company Limited, Osaka, Japan;5. Transportation System Studies Laboratory Co., Ltd., Osaka, Japan |
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| Abstract: | In this study, we explored the potential of using electronic toll collection (ETC)-derived data that are a part of intelligent transport systems (ITS). Dynamic origin–destination (OD) traffic volumes were estimated using ETC data on the Hanshin Expressway. A dynamic OD estimation model that was suggested in a previous study was used, and abundant ETC data were input to improve the estimation accuracy. The results of OD estimation were analyzed to understand traffic demand and its variation. External factors were clarified that have an influence on variances in the OD flows, and statistical analysis methods for the variations were proposed depending on the factors. Moreover, the improvements in traffic simulation accuracy and performance as a result of using ETC data as input variables in the simulation models were discussed. According to the results of this study, ETC data have potential to assist in understaningd traffic demand and its variation, and the results can be applied to network management. |
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| Keywords: | ETC Data OD Estimation Traffic Demand Traffic Simulation |
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