GPS average speed to avoid a train
This concept provides drivers with speed guidance that is based on providing a smooth traffic flow and avoiding the need for them to stop at the RLX.
The design incorporates, in addition to Baseline components:
- Communication between train and road vehicle systems via cloud – calculates speed driver would need to maintain to avoid having to stop at the RLX
- When on approach, a GPS screen shows RLX symbol, warns of RLX ahead and informs driver to drive at or below a certain speed (e.g. 95km/h) to avoid the train – this warning is integrated into standard GPS navigation system (see circled feature in diagram below)
- Also provides audible warning / voice over “LX ahead, do not exceed 95km/h to clear train”
- When closer to the RLX, if collision anticipated, GPS warns of RLX ahead and directs user to prepare to stop (as a fail-safe / fall back warning)
- Route planning by the GPS to avoid RLXs or to prefer active RLXs over passive RLXs. Would provide route optimization in urban areas (i.e. avoid congested RLXs)
- Device would calculate the speed profile of the vehicle for the physical nature of the RLX to determine, for example, if the vehicle is going too fast at an RLX with limited sight distance and provide warnings accordingly
- Where technology available, the system would auto-apply the brakes on the road vehicle where it predicts a collision will occur
- The display provides a visual indication of the risk level or state of the RLX – e.g. display is red if it is a high risk RLX, such as one with non-compliant sighting distance for heavy vehicles
- The system automatically collects incident / near miss data.
- Open source software is utilized to enable the system to be changed based on user needs and preferences over time. Server software would be open source
- Forums are held with train drivers and local road users / council staff / police, etc twice a year to share issues and experiences to build empathy and understanding (particularly useful at roll out)
When implemented by heavy vehicle companies, the design also incorporates:
- Drivers are provided with aggregate data as feedback to promote social norms around safe behavior
- Both heavy vehicle drivers and train drivers are educated about the GPS system and how it works
- Aggregate data could be used to give companies an argument for a discount on insurance – would encourage its uptake