Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
コンテキスト
このデータセットの目標は、ドイツ鉄道サービス（DBAHN）のオンライン情報を利用して、国内各地の異なる鉄道路線の状態をユーザーが分析できるデータセットを作成することです。
データの取得元は、Pythonで作成されたウェブスクレイピングツールを用いて、DBAHNのウェブサイトです。
内容
データは毎分収集され、ログに一行が追加されます。
# リクエストURLの例
`https://reiseauskunft.bahn.de/bin/bhftafel.exe/dn?&country=DEld=15082&seqnr=4&protocol=https:&input=Berlin%238011160&ident=fi.0865482.1497188234&rt=1&productsFilter=1111100000&time=11:00&date=20.06.19&ld=15082&start=1&boardType=arr&rtMode=DB - HYBRID HTTP/1.1`
結果として、同じ列車/旅行に複数のエントリが存在します。そのため、遅延や警報などの状況の推移を観察することが可能です。
`2019 - 06 - 20 11:09:41 DEBUG: RESULT_ROW TAA - |TA - |TIN - S 7|TIR - Potsdam Hbf (S) 10:21 - Berlin Wannsee (S) 10:32 - Berlin - Nikolassee 10:35 - Berlin - Grunewald 10:42 - Berlin Westkreuz 10:45Berlin Bellevue 10:55 - Berlin Hbf (S - Bahn) 10:58|TSI - 8011160|TIM - arr|TIL - /bin/traininfo.exe/dn/789990/646057/632576/52969/80?ld=15082&country=DEU&protocol=https:&seqnr=4&ident=fi.0865482.1497188234&rt=1&date=20.06.19&time=10:58&station_evaId=8089021&station_type=arr&rtMode=DB - HYBRID&|TIRE - Potsdam Hbf (S)|TIP - 15Berlin Hbf (S - Bahn)|TIT - 10:58|TID - 20.06.19|TSC - Berlin%238011160
`
## 列の説明
- TAA：警報（@@区切り）
- TA：遅延時間（以前は分で表されていました）。TIT列と比較する必要があります。
- TIN：列車の型式
- TIR：路線
- TSI：駅ID
- TIM：出発/到着方向
- TIL：パラメータ付きのリクエスト
- TIRE：目的地
- TIP：ホーム番号
- TIT：出発時間
- TID：日付
- TSC：駅名とID
- TAc：遅延時間（分）（TA - TIT）
インスピレーション
- 故障が多い列車の型式
- 交通が集中する都市
- ボトルネックとなる都市
- 故障予測
- ...
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
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