Table of Contents
Fetching ...

Perceived Time To Collision as Public Space Users' Discomfort Metric

Alireza Jafari, Yen-Chen Liu

TL;DR

This work targets the quantification of public-space discomfort caused by shared sidewalk use of micro-mobility devices. It introduces perceived Time To Collision ($T_p$) in 2D as a real-time, geometry-based discomfort proxy and tests it through controlled e-scooter–pedestrian experiments in a hallway. The results reveal a strong correlation between $T_p$ and reported discomfort when both agents can see each other, with median $T_p$ values of approximately 0.52 s for facing interactions and 1.24 s for passing interactions; the correlation weakens when visibility is absent. The findings support using $T_p$ for online discomfort estimation in ADAS and robotic systems and point to integrating this metric into control strategies to improve comfort in shared public spaces.

Abstract

Micro-mobility transport vehicles such as e-scooters are joining current sidewalk users and affect the safety and comfort of pedestrians as primary sidewalk users. The lack of agreed-upon metrics to quantify people's discomfort hinders shared public space safety research. We introduce perceived Time To Collision (TTC) as a potential metric of user discomfort performing controlled experiments using an e-scooter and a pedestrian moving in a hallway. The results strongly correlate the participant's reported discomfort and the perceived TTC. Therefore, TTC is a potential metric for public space users' discomfort. Since the metric only uses relative velocity and position information, it is a viable candidate for neighboring people's discomfort estimation in advanced driver assistance systems for e-scooters and PMVs. Our ongoing research extends the results to mobile robots.

Perceived Time To Collision as Public Space Users' Discomfort Metric

TL;DR

This work targets the quantification of public-space discomfort caused by shared sidewalk use of micro-mobility devices. It introduces perceived Time To Collision () in 2D as a real-time, geometry-based discomfort proxy and tests it through controlled e-scooter–pedestrian experiments in a hallway. The results reveal a strong correlation between and reported discomfort when both agents can see each other, with median values of approximately 0.52 s for facing interactions and 1.24 s for passing interactions; the correlation weakens when visibility is absent. The findings support using for online discomfort estimation in ADAS and robotic systems and point to integrating this metric into control strategies to improve comfort in shared public spaces.

Abstract

Micro-mobility transport vehicles such as e-scooters are joining current sidewalk users and affect the safety and comfort of pedestrians as primary sidewalk users. The lack of agreed-upon metrics to quantify people's discomfort hinders shared public space safety research. We introduce perceived Time To Collision (TTC) as a potential metric of user discomfort performing controlled experiments using an e-scooter and a pedestrian moving in a hallway. The results strongly correlate the participant's reported discomfort and the perceived TTC. Therefore, TTC is a potential metric for public space users' discomfort. Since the metric only uses relative velocity and position information, it is a viable candidate for neighboring people's discomfort estimation in advanced driver assistance systems for e-scooters and PMVs. Our ongoing research extends the results to mobile robots.
Paper Structure (8 sections, 7 equations, 7 figures, 1 table)

This paper contains 8 sections, 7 equations, 7 figures, 1 table.

Figures (7)

  • Figure 1: The perceived approach rate $\vec{v}_{ij \parallel \vec{p}_{ij}}$ definition for agents modeled as centered masses.
  • Figure 2: (a) An e-scooter is facing a pedestrian in a controlled sidewalk; (b) An e-scooter is passing a pedestrian in a controlled sidewalk; (c) The retro-reflective markers installed on the e-scooter.
  • Figure 3: Experiments' hallway and cameras arrangement.
  • Figure 4: Perceived TTC for passing and facing trials. The median and upper/lower quartiles' edges are marked by red and black dashed lines.
  • Figure 5: Perceived TTC by individuals during passing and facing trials. The circles and lines are the outliers and the medians, respectively.
  • ...and 2 more figures