書誌事項
- タイトル別名
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- コウド コウツウ カンリ オ コウリョ シタ ヒビ ノ ガクシュウ カテイ ト ドウテキ コウツウ コウドウ ブンセキ
- Analysis of Day-to-day Learning Processes and Travel Choice Dynamics in Traffic Networks Considering Real-time Information and Signal Control
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抄録
application
A day-to-day dynamic framework is developed to study network dynamics under real-time information and responsive signal control systems. Two level of tripmaker decision-making processes are incorporated: (1) day-to-day dynamics and (2) real-rime dynamics. In day-to-day dynamics, each driver uses a disutility function of perceived travel time and perceived schedule delay to evaluate the alternative travel choices, then selects an alternative based on the utility maximization principle. Day-to-day dynamics are governed by tripmaker's daily learning processes. Learning model, applied the Bayesian theorem, consider the travelers update their travel time perceptions form one day to the next in light of information provided by ITS and their previous experience. Real-time dynamics consider en-route switching decisions in response to real-time information on prevailing traffic conditions. Traffic contorol are evaluated by the actuated control. The framework is illustrated through numerical experiments to investigate the day-to-day evolution of network flows under real-time information and responsive signal control, and assess the effectiveness of such information in a proper dynamic perspective.
収録刊行物
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- 長野工業高等専門学校紀要
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長野工業高等専門学校紀要 34 57-63, 2000-12-27
長野工業高等専門学校
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詳細情報 詳細情報について
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- CRID
- 1050001337613955456
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- NII論文ID
- 110000294204
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- NII書誌ID
- AN00179170
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- ISSN
- 02861909
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- NDL書誌ID
- 5630628
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- 本文言語コード
- ja
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- 資料種別
- departmental bulletin paper
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- データソース種別
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- IRDB
- NDL
- CiNii Articles