Understanding and supporting drivers
Drivers face particular challenges during low adhesion conditions and how they react to changing conditions or published instructions can be a significant factor in whether services run safely and to time. Two new research projects are looking at opportunities for the rail industry to gain a better understanding of driving behaviour in low adhesion conditions and improve their confidence.
The first project is a broad study of the array of information about adhesion conditions that is available to drivers. It will identify whether any information gaps exist and, if so, how these might be filled. It will also determine how industry can optimise the presentation of information and how it is published to drivers.
The second project is using a big data approach to understand driver variability in low adhesion conditions. We are collating and combining information from On-Train systems to create a data rich picture of varying driving styles in poor adhesion conditions compared with “good” conditions. The aim, ultimately, is to establish the extent and factors that can influence drivers’ variability in low adhesion conditions and identify the steps industry could take to support this.
- Driver confidence
- Driver behaviour
- Information flows
- Driver variability