@article{ref1,
title="Feedback perimeter control with online estimation of maximum throughput for an incident-affected road network",
journal="Journal of intelligent transportation systems: technology, planning, and operations",
year="2022",
author="Wang, Jiawen and He, Xiaozheng and Peeta, Srinivas and Yang, Xiaoguang",
volume="26",
number="1",
pages="81-99",
abstract="This study develops a feedback perimeter control strategy to maximize the throughput of an incident-affected network. The proposed perimeter control strategy is innovative in two aspects. First, the control variables, i.e., the inflow rates to the controlled subnetwork within the incident-affected network, are adjusted based on the online estimation of maximum network throughput that is updated dynamically using real-time traffic data and road vulnerability. The incident-dependent network throughput provides the perimeter control a more legitimate control target. Second, the proposed perimeter control strategy applies the proportional-integral-derivative controller, which enhances control stability given the dynamically-updated control target. The results of simulation experiments demonstrate that the proposed strategy can enhance the average speed and reduce the total delay of the incident-affected traffic.<p /> <p>Language: en</p>",
language="en",
issn="1547-2450",
doi="10.1080/15472450.2020.1797501",
url="http://dx.doi.org/10.1080/15472450.2020.1797501"
}