Risk of pedestrian collision for persons with peripheral field loss: A computational analysis Data Sets

There are 8 datasets that contain data on collision risk as a function of pedestrian starting position in a 2D grid.
Each dataset corresponds to a simulation about a condition as the file's name suggests.

This data is related to the work from:
Kurukuti et al. Risk of pedestrian collision for persons with peripheral field loss: A computational analysis, OVS, 2024:

Dataset: zip files: a total of 758 MB

The following are the conditions and associated file names related to Fig. 2:

Risk of collision with point pedestrians: Point_Tmax_5s.mat
Risk of collision with volumetric pedestrians: Volume_Tmax_5s.mat
Risk of collision with volumetric pedestrians with vision: Volume+Vision_Tmax_5s.mat

The following are the conditions and associated file names related to Fig. 5:

Risk of collision with volumetric pedestrians with vision: Volume+Vision_Tmax_5s.mat
Risk of collision with volumetric pedestrians with vision, for a peripheral field loss bicyclist: Volume+Vision_bicycle_16kms.mat

The following are the conditions and associated file names related to Supplementary Fig. 1:

Risk of collision with volumetric pedestrians with vision with Tmax of 2sec: Volume+Vision_Tmax_2sec.mat
Risk of collision with volumetric pedestrians with vision with Tmax of 5sec: Volume+Vision_Tmax_5sec.mat
Risk of collision with volumetric pedestrians with vision with Tmax of 7sec: Volume+Vision_Tmax_7sec.mat

The following are the conditions and associated file names related to Supplementary Fig. 2:

Risk of collision with volumetric pedestrians with vision at speeds in the range of 0.5m/s - 1m/s: Volume+Vision_speed_ <1ms.mat
Risk of collision with volumetric pedestrians with vision at speeds in the range of 0.7m/s - 1.5m/s: Volume+Vision_Tmax_5s.mat
Risk of collision with volumetric pedestrians with vision at speeds in the range of 1m/s - 2m/s: Volume+Vision_speed_>1ms.mat

The content of each of the file is a structure with the name "Data". The structure consists of the following variables:

Ped: Parameters associated with the pedestrian
Obs: Parameters associated with the peripheral field loss person
Radial_dist: Radial distance of the start position of the pedestrian with respect to the start position of the person with peripheral field loss
Bearing: Bearing of the start position of the pedestrian with respect to the start position of the person with peripheral field loss

A MATLAB script is also provided that imports the dataset selected and remaps the risk associated with each start position of the pedestrian to display as a colormap and an associated colorbar.