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WEBINAR VIDEO
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WEBINAR SUMMARY
This webinar discusses research exploring how social identity factors (race and gender) influence drivers’...
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PRESENTATION ARCHIVE
OVERVIEW
The aim of this research is to investigate pedestrian behavior at signalized intersections using state-of-the-art LIDAR sensing technologies and to use this data, along with vehicular data, to develop a more effective multimodal signal control system.
In the presentation, the presenters will describe a novel method of collecting pedestrian crossing behaviors at signalized intersection, discuss the findings and implications of data analytics, and introduce a novel approach to dynamic flashing yellow arrow mechanisms to reduce the conflict between left turn vehicles and crossing pedestrians.
KEY LEARNING OUTCOMES
- Understand the framework of LiDAR sensing solutions;
- Understand how to collect pedestrian behaviors at intersections;
- Understand how to provide new protection for crossing pedestrians with object-tracking technologies.
THE RESEARCH
This webinar is based on a study funded by the National Institute...
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The video begins at 0:34.
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Speaker: Joseph Broach, Ph.D. Candidate, Portland State University
Topic: Trick or Treatment? Impact of Route-Level Features on Decisions to Walk or Bike
Summary: Some travel routes attract people walking and cycling, while others may scare them away. What features of street environments are most important, and how do available routes affect decisions to bike or walk on a specific trip?
Research to date has focused on either large-scale areal measures like "miles of bike lane nearby" or else has considered only shortest path routes. Neither method is suited to capturing the impact of targeted route-level policies like neighborhood greenways. This session will present a new technique for measuring bike and walk accessibility along the most likely route for a given trip. The method is applied to travel data, and results provide new insight into the relationship between route quality and travel mode choice.