Papers with Code 아카이브

confidence interval for traffic prediction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
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평가표
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보존된 평가 기록
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Providing confidence interval for traffic prediction

데이터셋

출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.

Traffic demand in NYC and CHI

This dataset includes four real-world sub-datasets about traffic demand. Each dataset spans 16 months, from January to April of the next year. - NYCbike: This dataset covers shared bike usage records in New York City from January 2022 to April 2023. Each entry represents a bike pickup and drop-off event. We divided New York into 200 grids and calculated the bike pickup and drop-off quantities for each grid every hour. - NYCtaxi: This dataset covers taxi usage data from January 2018 to April 2019 in New York City, with hourly usage for each region, including both pick-up and drop-off dimensions. The division of regions is based on the scheme provided by the official website. - CHIbike: The dataset contains shared bike usage records in Chicago from January 2022 to April 2023. Chicago is divided into 200 grids and hourly bike pickup and drop-off quantities for each grid are collected. - CHItaxi: This dataset contains hourly taxi pick-up and drop-off values of census regions in Chicago from January 2016 to April 2017.

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.