EVU XXVII 2018 – 04 Big Data Analysis – Combining GPS with Traffic Signal Data Logger Records
Big Data Analysis – Combining GPS with
Traffic Signal Data Logger Records
Daniel Melcher, P.E., Jay Przybyla, Ph.D., P.E., Kelly Palframan, Ph.D., P.E., Tom Rush, P.E.
Focus Forensics
Abstract
Advances in tra!c signal data monitoring systems are providing engineers with a big-data solution for designing, monitoring, and optimizing traffic signals. In its most modern applications, a traffic signal’s exact sequence of events prior to and during a collision will be recorded with granular detail and accurate time-stamp and positional information. Meanwhile, a wide variety of GPS-compatible systems are in common use in automobiles, commercial vehicles, and even pedestrian and bicyclist applications.
Devices often record coordinate positional data, instantaneous speed, and time-stamp information, which can be combined with the traffic signal data logger records to establish the specific movements of involved parties through space and time. The combination of these two data technologies is applicable to answering common questions involving signalized intersection collisions, including which driver had a green signal, or how the incident was affected by the user responses to signal change intervals, phasing, and pedestrian signal operations.
La lettura di questo articolo è riservata ai soli Soci EVU Italia.
Autore | Daniel Melcher, P.E., Jay Przybyla, Ph.D., P.E., Kelly Palframan, Ph.D., P.E., Tom Rush, P.E. Focus Forensics |
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Tipologia |