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open-traffic-datasets

开放交通数据集,包含多个交通相关的数据集,如Caltrans Performance Measurement System (PeMS)、Seattle Inductive Loop Detector Dataset V.1 (2015)、OpenITS: OpenData、FHWA和MnDOT交通数据等,这些数据集提供了交通流量、速度等实时数据,用于交通管理和科学研究。

Updated 5/21/2024
github

Description

Dataset Overview

1. Caltrans Performance Measurement System (PeMS)

  • Description: A software tool designed for Caltrans that centralizes real‑time traffic data, making dispersed regional and departmental data easily accessible.
  • Data Type: Real‑time traffic data.

2. Seattle Inductive Loop Detector Dataset V.1 (2015)

  • Description: Data collected by inductive loop detectors installed on Seattle freeways (I‑5, I‑405, I‑90, SR‑520), providing spatiotemporal speed information.
  • Data Type: Spatiotemporal speed data.
  • Temporal Resolution: 5 minutes.

3. OpenITS: OpenData

  • Description: Establishes standards for describing, sharing, and applying multi‑source heterogeneous traffic big‑data, offering open data sharing services.
  • Data Type: Multi‑source heterogeneous traffic big data.

4. FHWA

  • Description: State highway agencies collect traffic count data via temporary and continuous projects and report continuous counts monthly to FHWA.
  • Data Type: Traffic count data.

5. MnDOT traffic data

  • Description: Provided by Dr. Taek M. Kwon of MnDOT's regional traffic management center, data are collected from over 4,500 loop detectors at 30‑second intervals, covering the Twin Cities metropolitan area.
  • Data Type: Real‑time traffic data.
  • Collection Interval: 30 seconds.

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Topics

Transportation Data
Traffic Management

Source

Organization: github

Created: 11/26/2018

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