NYC telematics data with asynchronous sampling
Creators
- 1. Florida Atlantic University
- 2. Optimus Ride Inc
Description
This telematics data are used in the paper "Alrassy, P., Jang, J., and Smyth, A. W. (2021). "OBD-data-assisted cost-based map-matching algorithm for low-sampled telematics data in urban environments." IEEE Transactions on Intelligent
Transportation Systems. doi:10.1109/TITS.2021.3109851
The data were collected in New York City. Each trajectory represents 15 to 30 minutes of driving. An in-vehicle sensing hardware package is developed and comprises a Raspberry PI 3 Model B+ microcomputer, a microSD 32GB SD card, an OBDCheck BLE OBD-II scanner, and a GPS module. This sensor configuration aims to collect timestamps, GPS positioning, and instantaneous speed data. Each sensor module has a dedicated data collection algorithm to collect data whenever new data updates are available on the sensor node. The structure of the data follows:
Data Type, timestamp, values
GPS, timestamp, latitude, longitude, altitude
OBD, timestamp, RPM, speed
Files
SCV_2021_02_05_13_03_30.csv
Files
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Additional details
Funding
- CRII: OAC: Scalable and Integrated Data Collection Platforms for Connected Vehicle Data 1948066
- U.S. National Science Foundation