Object-Oriented Model for Freeway Work Zone Capacity and Queue Delay Estimation

Xiaomo Jiang, Hojjat Adeli
<span title="">2004</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wzakp2dz4rgz7bn4utiw6ehhpi" style="color: black;">Computer-Aided Civil and Infrastructure Engineering</a> </i> &nbsp;
Existing computer models used to estimate queue delay upstream of the work zone have a number of shortcomings. They do not provide any model to estimate work zone capacity, which has a significant impact on the congestion and traffic queue delays. They cannot be used to perform scenario analysis for work zones with various characteristics such as work zone layout, number of closed lanes, work intensity, and work time. In this article, an object-oriented (OO) model is presented for freeway work
more &raquo; ... one capacity and queue delay and length estimation. The model is implemented into an interactive software system, called IntelliZone, using Microsoft Foundation Classes (MFC) and a hierarchy of multiple specialized frameworks. A three-layer application architecture is created to separate the application functions and classes from MFC classes. The high-level application domain layer is divided into packages. IntelliZone's capacity estimation engine is based on pattern recognition and neural network models incorporating a large number of factors impacting the work zone capacity. This research provides the foundation for a new generation of advanced decision support systems for effective management of traffic at work zones.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1111/j.1467-8667.2004.00344.x">doi:10.1111/j.1467-8667.2004.00344.x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2xbb6ytf3fg4bgiybbhd4bhe7u">fatcat:2xbb6ytf3fg4bgiybbhd4bhe7u</a> </span>
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