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Dataset assetOpen Source CommunityTransportation DataTraffic Management
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。
Source
github
Created
Nov 26, 2018
Updated
May 21, 2024
Signals
429 views
Availability
Linked source ready
Overview
Dataset description and usage context
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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