PROJECT TITLE

Studying Interactions between Motor Vehicles and Bicyclists under Existing Infrastructure using Large-scale Naturalistic Data

PROJECT INVESTIGATOR

Shan Bao, PhD
Assistant Research Scientist, Human Factors Group, U-M Transportation Research Institute

PROJECT DATES

January – December 2017

PROJECT TEAM

Fred Feng, PhD
Research Fellow, Human Factors Group, U-M Transportation Research Institute

Anuj Pradhan, PhD
Assistant Research Scientist, Human Factors Group, U-M Transportation Research Institute

OBJECTIVE

Studying interactions between drivers and vulnerable road users at intersections using existing naturalistic driving data.

APPROACH

We would utilize an existing large‐scale naturalistic driving data set – Safety Pilot Model Deployment (SPMD) to study the interaction between drivers and bicyclists, and pedestrians at intersections. Data reduction would be conducted to select the events and extract features to be analyzed.

OUTCOMES

The work generated a compiled data set that captures  the key factors of driver-VRU interactions. The data set includes information of road configurations, driver maneuver, the position and movement of pedestrians or bicyclists of interest, body language of drivers, pedestrians, and bicyclists to communicate the right of way, jaywalking and other behaviors.


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