This page is for accessing the Warwick-JLR Driver Monitoring Dataset (DMD) and the Road Classification Dataset (RCD).
The DMD is a joint venture between the Department of Computer Science at the University of Warwick and Jaguar Land Rover. It was collected and analysed as part of work for the PhD thesis, "Data Mining for Vehicle Telemtry Data" (Phillip Taylor, 2015). With it, we aim to investigate the driver monitoring from a data mining perspective, utilizing data from sensors which are readily accessible via the Controller Area Network (CAN)-bus. We formulate a classification problem with ground truth taken from physiological data including Heart Rate, Heart Rate Variance, Electrodermal Magnitude and Frequency of Electrodermal Responses, and secondary task timings.
Recommended citations for the Driver Monitoring Dataset are as follows:
Phillip Taylor, Nathan Griffiths, Abhir Bhalerao, Xu Zhou, Adam Gelencser, Thomas Popham. 2017. Investigating the feasibility of vehicle telemetry data as a means of predicting driver workload. International Journal of Mobile Human-Computer Interaction, 9(3).
Phillip Taylor, Nathan Griffiths, Abhir Bhalerao, Xu Zhou, Adam Gelencser, Thomas Popham. 2015. Warwick-JLR Driver Monitoring Dataset (DMD): Statistics and Early Findings. In the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications.
Phillip Taylor, Nathan Griffiths, Abhir Bhalerao, Derrick Watson, Xu Zhou and Thomas Popham. 2013. Warwick-JLR Driver Monitoring Dataset (DMD): A public Dataset for Driver Monitoring Research. In CLW 2013: The Third Workshop on Cognitive Load and In-Vehicle Human-Machine Interaction.
Recommended citations for the Road Classificication Dataset are as follows:
Phillip Taylor, Nathan Griffiths, Abhir Bhalerao, Sarabjot Anand, Thomas Popham, Zhou Xu, Adam Gelencser. 2016. Data Mining for Vehicle Telemetry. In Applied Artificial Intelligence 30(3): 233-256.
Phillip Taylor, Sarabjot Anand, Nathan Griffiths, Fatimah Adamu-Fika, Alain Dunoyer, Thomas Popham. 2012. Road Type Classification Through Data Mining. In the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications.
To download the datasets and register your interest in our research, please fill out our request form and provide a few details on your research. The download link is available after the form.