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Webinar: Radar Point Cloud Segmentation Using Gmm In Traffic Monitoring, Siyang Cao
Webinar: Radar Point Cloud Segmentation Using Gmm In Traffic Monitoring, Siyang Cao
TREC Webinar Series
Intelligent transportation systems (ITS) change our communities by improving the safety and convenience of people’s daily mobility. The system relies on multimodal traffic monitoring, that needs to provide reliable, efficient and detailed traffic information for traffic safety and planning. How to reliably and intelligently monitor intersection traffic with multimodal information is one of the most critical topics in intelligent transportation research. In multimodal traffic monitoring, we gather traffic statistics for distinct transportation modes, such as pedestrians, cars and bicycles, in order to analyze and improve people’s daily mobility in terms of safety and convenience. In this study, we use a …
Self-Organizing Signals: A Better Framework For Transit Signal Priority, Peter G. Furth
Self-Organizing Signals: A Better Framework For Transit Signal Priority, Peter G. Furth
PSU Transportation Seminars
Actuated traffic signal control logic has many advantages because of its responsiveness to traffic demands, short cycles, effective use of capacity leading to and recovering from oversaturation, and amenability to aggressive transit priority. Its main drawback has been its inability to provide good progression along arterials. However, the traditional way of providing progression along arterials, coordinated-actuated control with a common, fixed cycle length, has many drawbacks stemming from its long cycle lengths, inflexibility in recovering from priority interruptions, and ineffective use of capacity during periods of oversaturation. This research explores a new paradigm for traffic signal control, “self-organizing signals,” based …
Using Empirical (Real-World) Transportation Data To Extend Travel Demand Model Capabilities, Michael Mauch
Using Empirical (Real-World) Transportation Data To Extend Travel Demand Model Capabilities, Michael Mauch
PSU Transportation Seminars
Real-world traffic trends observed in PORTAL and INRIX traffic data are used to expand the performance measures that can be obtained from Portland Metro's travel demand model to include the number of hours of congestion that can be expected during a typical weekday and travel time reliability measures for congested freeway corridors.