Petrovska, Natasha

Relationships
Member of: Graduate College
Person Preferred Name
Petrovska, Natasha
Model
Digital Document
Publisher
Florida Atlantic University
Description
Vehicle travel time on arterial roads with signalized intersections is an essential parameter for traffic
management. There is an increasing interest in signal performance measurement for signalized
intersections in the United States. Reducing the journey times and increasing the capacity are some of
the fundamental aims with potential benefits in environmental pollution, and energy utilization. The
Travel-time Based Signal Performance Measures application is a tool for estimating signal performance
measures based on upstream-link travel times. The application utilizes well known concept of Volume-
Delay Functions to convert measured travel times into signal performance measures. Based on this
functionality, it can estimate the performance measures for 7 signalized intersections on Glades Road,
Boca Raton, Florida. Available performance measures for the major through movements are: volumeto-
capacity ratio, Level of Service LOS, and the number of cycles to wait. The derived measures can be
graphically visualized on Google Maps. The travel time data acquisition is performed using
BlueTOAD devices. The goal is to introduce automated assessment tool, visualization and evaluation of
the intersections’ performance measures simultaneously at multiple intersections. The main objective of
this web application is to help traffic operators/engineers to evaluate performance of the signalized
corridors exploiting the archived measured travel times.
Model
Digital Document
Publisher
Florida Atlantic University
Description
The road traffic along with other key infrastructure sectors such as telecommunication, power, etc. has an important role in economic and technological growth of one country. Traffic engineers and analysts are responsible for solving a diversity of traffic problems, such as traffic data acquisition and evaluation. In response to the need to improve traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications. This thesis introduces three novel web applications with an aim to offer traffic operators, managers, and analysts’ possibility to monitor the congestion, and analyze incidents and signal performance measures. They offer more detailed analysis providing users with insights from different levels and perspectives. The benefit of providing these visualization tools is more efficient estimation of the performance of local networks, thus facilitating the decision making process in case of emergency events.