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Network Aggregation Method using Vehicle Trajectory Data
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- YASUDA Shohei
- Graduate School of Engineering, Kobe University
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- IRYO Takamasa
- Graduate School of Engineering, Kobe University
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- SAKAI Katsuya
- National Taiwan University
Bibliographic Information
- Other Title
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- 車両軌跡データを用いたネットワーク集約手法
Description
<p>Managing and utilizing traffic data on a large-scale transportation network generally involves a great deal of effort. A network aggregation techniques that simplifies complicated network structures have been developed for efficient analysis of large-scale networks. However, the development of more efficient methodologies is required due to the complexity of processing based only on the patterns of the connection structure of existing methodologies and the enormous computation associated with the setting of link attributes. In recent years, vehicle trajectory data that allows comprehensive observation of network traffic state has been accumulated from GPS equipment. In this study, we propose a methodology for network representation and network aggregation based on actual vehicle flow using longterm vehicle trajectory data. As shown by numerical examples of Japan, the complexity of the structure of the aggregated network is not too simple to lose information under network-wide traffic conditions and not too complex to incur a huge calculating cost.</p>
Journal
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- JSTE Journal of Traffic Engineering
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JSTE Journal of Traffic Engineering 6 (2), A_310-A_316, 2020-02-01
Japan Society of Traffic Engineers
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Details 詳細情報について
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- CRID
- 1390283659849564928
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- NII Article ID
- 130007795560
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- ISSN
- 21872929
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed