Mesopic Optimisation of Visual Efficiency
The idea of MOVE was to generate data for mesopic visibility functions using several visual criteria. No investigation at this depth has been undertaken previously. The project steered away from conventional techniques, where only one aspect of visual performance has been considered at time, and developed a multi-technique system. In MOVE the emphasis was placed on night-time driving. The visual performance of night-time driving was divided into three visual subtasks characterised by the questions:
1. Can it be seen? 2. How quickly? 3. What is it?
The vision experiment work between the partner laboratories was divided so that the tests covered all the required methods and parameters. The consortium developed experimental techniques to quantify the visibility of targets when performing each of the three visual tasks. Work between the parallel experiments was distributed and linked in a way that allowed the exchange of data between test locations and input of data from one test to another. For each visual subtask, data was simultaneously generated in two to four laboratories using different experimental methods in each location.
The vision experiments to generate the visibility data for the new model included investigations using quasi-monochromatic light (hbw = 10 nm), narrow-band (hbw = 15-40 nm) light and light with broadband spectra. A decision was taken early in the project to define a common set of conditions to be used in the experiments, to ensure that although all the partners were using different equipment and techniques there was a degree of compatibility between them, which would assist with the comparison of results and their use in the development of a model for mesopic photometry.