Luan, Qiuyun (University of Wollongong), Zhang, Cheng (Griffith University), Du, Bo (Griffith University), Shen, Jun (University of Wollongong)

Spatio-Temporal Analysis of Cyclist-Cyclist Multidirectional Interactive Behaviours

Scheduled for presentation during the Regular Session "S06b-Safety, Sensing, and Infrastructure Design for Vulnerable Road Users" (WE-EA-T6), Wednesday, November 19, 2025, 13:30−13:50, Surfers Paradise 3

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 19, 2025

Abstract

Understanding interactions between cyclists in various spatial contexts is critical for improving safety performance of cycling infrastructure. This study investigates the behavioural characteristics of cyclists under multiple interactions at different types of road conditions. Using a series of controlled experiments, key behavioural parameters such as interaction speed, interaction duration, yaw rate, speed standard deviation, and the nearest neighbour distance during interactions are analysed. The results reveal that multidirectional and corner interactions present longer interaction durations, higher yaw rate, and increased speed variability, indicating elevated manoeuvring complexity and interaction intensity. In contrast, bidirectional scenarios, especially without obstacles, exhibit more stable and consistent cycling behaviours. These findings offer quantitative insights into cyclist dynamics under various interaction scenarios and provide valuable references for urban cycling infrastructure planning and flow management.