Prioritizing Cyclists at Signalized Intersections Using Observations from Connected Autonomous Vehicles

When making trips in urban environments, cyclists lose time as they stop and idle at signalized intersections. The main objective of this study was to show how augmenting the situational awareness of traffic signal controllers, using observations from moving sensor platforms, can enable prioritization of cyclists and reduce lost time within...

Behavioral-Based Pedestrian Modeling Approach: Formulation, Sensitivity Analysis, and Calibration

Pedestrians are among the travelers most vulnerable to collisions that are associated with high fatality and injury rates. The increasing rate of urbanization and mixed land-use construction make walking (along with other non-motorized travel) a predominant transportation mode with a wide variety of behaviors expected. Because of the inherent...