Published June 11, 2020
| Version 3
Dataset
Open
Traffic Hourly Dataset
- 1. PhD Student at Monash University
- 2. Lecturer at Monash University
- 3. Professor at Monash University
- 4. Lecturer at University of Sydney
Description
This dataset contains the San Francisco Traffic dataset used by Lai et al. (2017). It contains 862 hourly time series showing the road occupancy rates on the San Francisco Bay area freeways from 2015 to 2016.
Files
traffic_hourly_dataset.zip
Files
(22.9 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:1cf694f99f95700217845078b467fb24
|
22.9 MB | Preview Download |
Additional details
Related works
- Cites
- Dataset: http://pems.dot.ca.gov/ (URL)
- Other: http://arxiv.org/abs/1703.07015 (URL)
- Dataset: https://github.com/laiguokun/multivariate-time-series-data (URL)
References
- Caltrans, 2020. Caltrans performance measurement system, california department of transportation. Accessed: 2020-04-30. URL http://pems.dot.ca.gov/
- Lai, G., Chang, W., Yang, Y., Liu, H., 2017. Modeling long and short-term temporal patterns with deep neural networks. CoRR abs/1703.07015.URL http://arxiv.org/abs/1703.07015
- Lai, G., 2017. multivariate-time-series-data. https://github.com/laiguokun/multivariate-time-series-data, accessed: 2020-05-04