New Project (TRCLC 15-3)

TRCLC 15-3: Real Time Bicycle Simulation Study of Bicyclists' Behaviors and Their Implication on Safety

PI: Valerian Kwigizile, Western Michigan University

Abstract

The purpose of this research is to use virtual simulation to investigate bicycle rider/pedestrian interaction and its impact on safety. A motion path data retrieved from recorded or live video will provide a correct perception of the movements of pedestrians. The user will ride a bicycle in immersive simulated environment and will try to avoid conflict points with pedestrians and motor vehicles [1]. In addition, behavior algorithm will be implemented to provide reaction of the pedestrians based on the change in the environment, incoming pedestrians, cars, bicycle, and change of the weather and day/night condition. The main interest of the research is to collect data about bicycle rider perception such as looking in different directions, avoiding static and moving (cars, pedestrian) objects. Fort the purpose of this research special 3D space motion platform with attached bicycle, interfaced with virtual reality (VR) simulation and sensors will be developed that will provide bicyclist with simulation experience closely resembling the real situations. This allows testing many what-if situations with changing of infrastructure, road and weather conditions, vehicular traffic and pedestrian concentration on shared facilities. We will investigate the rider behavior based on two types of data collections. First one, is based on traditional interviews after the rides. Second one is based on encephalogram reading using special Brain Computer Interface. This is very promising technology to collect data. Since this is quite new technology in early stage of development, we are expecting only a limited amount of collected and reasoning data for this part of the project. We will simulate and study how changing in the infrastructure like separate bike lanes, traffic signals and marking signs influence safety of all users. Since the virtual simulation allows quick changes in scenario, we will be able to measure, collect data, and interview participants to analyze the data and to make decision of optimal traffic infrastructure and organization that can accommodates all members. This research will assist interested parties to develop an infrastructure and traffic organization where bicycle, pedestrian and motor vehicle can share the road and pathway with minimum potential conflicts and collisions. It will provide a tool to evaluate, plan, design and build an infrastructure that supports cycling and walking communities.