Investigating How Multimodal Environments Affect Multitasking Driving Behaviors

Project Description This study will examine multi-tasking behaviors when drivers are in environments that include large numbers of pedestrians and cyclists. Multi-tasking behavior refers to any secondary activity not related to the primary driving task. This includes such tasks as engagement in mobile devices (texting, conversing, reading social media), eating, and talking to passengers. More specifically, this study will focus on: (1) the likelihood of drivers engaging in (or disengaging from) secondary task activities given the presence of pedestrians and cyclists; and (2) the effect of different types of crosswalks and bike facilities (including pavement markings and signage) on secondary task activities. The goal will be achieved through statistical analysis (e.g., mixed-effects models, hazard models) using the SHRP2 naturalistic driving study dat at selected crosswalks and bike facilities in Seattle, WA, and Tampla, FL. Data Request Scope Time-series data Forward video Edge-masked face video Hand video Data Specification See the attached file "1. Multimodal DUL Data Specification Oct 23 2020.docx"