The COMMOTIONS Urban Interactions Driving Simulator Study Dataset

TL;DR

This paper presents a dataset from a simulator study on urban driving interactions, focusing on near-crash situations and driver gap acceptance, to enhance models for automated vehicle behavior.

Contribution

It introduces a novel dataset collected in a moving base simulator, specifically targeting urban interaction scenarios for automated vehicle research.

Findings

Data includes near-crash interaction scenarios

Collected human driver gap acceptance data

Supports development of automated vehicle interaction models

Abstract

Accurate modelling of road user interaction has received lot of attention in recent years due to the advent of increasingly automated vehicles. To support such modelling, there is a need to complement naturalistic datasets of road user interaction with targeted, controlled study data. This paper describes a dataset collected in a simulator study conducted in the project COMMOTIONS, addressing urban driving interactions, in a state of the art moving base driving simulator. The study focused on two types of near-crash situations that can arise in urban driving interactions, and also collected data on human driver gap acceptance across a range of controlled gap sequences.