Assessing the Complexity of Potential Bicycle Interference on Vehicles on Urban Road Segments

Interacting with bicycles on urban road segments is complex for vehicles, due to the diverse and flexible cycling behavior that can cause interferences. Studies show driving mixed also a great challenge autonomous vehicles (AVs), it necessary consider interference of when selecting public roads testing. However, existing evaluation methods mostly focus functions accident analysis, although have been considered, often insufficient consideration their interference. This study analyzes two types could interfere including lateral (turning handlebars) longitudinal (braking or accelerating) behavior, each occurrence such considered as one potential From perspective framework proposed assess complexity bicycle segments. A higher frequency both represents naturalistic field experiment was conducted collect environmental parameters The quantile regression model applied analyze factors influencing different frequencies separately further establish assessing complexity, usability has demonstrated case study. Results varies across segments, some leading more frequent but varying degrees impact (such separation between vehicles), while only affect on-street parking condition). help companies agencies select appropriate testing roads, thus promoting development driving.