Webinar: Modeling Freeway Traffic in a Mixed Environment: Connected and Human-Driven Vehicles - Terry Yang

Webinar: Modeling Freeway Traffic in a Mixed Environment: Connected and Human-Driven Vehicles

 

PRESENTATION ARCHIVE

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OVERVIEW

Although connected vehicles (CVs) will soon go beyond testbeds, CVs and human-driven vehicles (HVs) will co-exist over a long period. Hence, it is critical to consider the interactions between these two types of vehicles in traffic flow modeling. In this study, we aim to develop a macroscopic model to understand how CVs would impact HVs in the traffic stream. Grounded on the second-order traffic flow model, we study the relationships among flow, density, and speed by two sets of formulations for the groups of CVs and HVs, respectively. A set of friction factors, which indicate CVs' impact to HVs, are introduced to the speed equation for accounting CV speed impacts. Then extended Kalman Filter is employed to update both model parameters and friction factors in real-time. By using CVs trajectory data as measurements, the difference between CV average speed and overall traffic mean speed will be fully accounted. The proposed model will serve as a basis for designing CV-based traffic control function,...

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UA, TDOT partner for e-scooter research projects

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Webinar: Collecting and Analyzing Pedestrian Behaviors at Intersections Using LiDAR Tracking Technologies

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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