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Title: Implementation and Investigation of a Weather- and Jam Density-tuned Network Perimeter Controller

Abstract

This paper implements and evaluates the performance of a network fundamental diagram (NFD) proportional-integral perimeter controller (PC) using base tuned parameters (clear weather conditions and a base jam density of 160 veh/km/lane). The parameters were then re-tuned separately for different weather conditions and jam density values (reflecting different percentage of trucks), resulting in two new control methods: a weather-tuned perimeter controller (WTPC) and a jam density-tuned perimeter controller (JTPC). The WTPC was shown to outperform the no control strategy and the PC for different weather conditions. Specifically, the WTPC decreased the congestion inside the protected network (PN) and improved the overall performance of the full network (FN) by decreasing the average vehicle travel time, decreasing the vehicle total delay, increasing the average vehicle speed and decreasing the average vehicle fuel consumption. Alternatively, the JTPC was shown to perform similar to the PC for jam densities higher than the base-case jam density used in the PC (in our case 160 veh/km/lane). However, the JTPC outperformed the PC for smaller jam densities given that these smaller jam densities result in queues spilling back faster to upstream traffic signals. The results demonstrate the need to tune the controller to the actual jam densitymore » especially when the jam density decreases (e.g. trucks are introduced to the network). http://pubsindex.trb.org/« less

Authors:
 [1];  [2];  [1]
  1. Virginia Tech Transportation Institute
  2. Virginia Tech Transportation Institute; Virginia Polytechnic Institute and State University
Publication Date:
Research Org.:
Virginia Polytechnic Institute and State University, Blacksburg, VA
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1491353
Report Number(s):
DOE-VT-0008209-C04
DOE Contract Number:  
EE0008209
Resource Type:
Conference
Resource Relation:
Conference: The Transportation Research Board (TRB) 98th Annual Meeting , Walter E. Washington Convention Center, Washington, D.C., January 13–17, 2019
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 54 ENVIRONMENTAL SCIENCES; 97 MATHEMATICS AND COMPUTING; Network Fundamental Diagram (NFD), Proportional-Integral (PI) Controller, Gating, Weather, Jam Density.

Citation Formats

Elouni, Maha, Rakha, Hesham, and Bichiou, Youssef. Implementation and Investigation of a Weather- and Jam Density-tuned Network Perimeter Controller. United States: N. p., 2019. Web.
Elouni, Maha, Rakha, Hesham, & Bichiou, Youssef. Implementation and Investigation of a Weather- and Jam Density-tuned Network Perimeter Controller. United States.
Elouni, Maha, Rakha, Hesham, and Bichiou, Youssef. Tue . "Implementation and Investigation of a Weather- and Jam Density-tuned Network Perimeter Controller". United States.
@article{osti_1491353,
title = {Implementation and Investigation of a Weather- and Jam Density-tuned Network Perimeter Controller},
author = {Elouni, Maha and Rakha, Hesham and Bichiou, Youssef},
abstractNote = {This paper implements and evaluates the performance of a network fundamental diagram (NFD) proportional-integral perimeter controller (PC) using base tuned parameters (clear weather conditions and a base jam density of 160 veh/km/lane). The parameters were then re-tuned separately for different weather conditions and jam density values (reflecting different percentage of trucks), resulting in two new control methods: a weather-tuned perimeter controller (WTPC) and a jam density-tuned perimeter controller (JTPC). The WTPC was shown to outperform the no control strategy and the PC for different weather conditions. Specifically, the WTPC decreased the congestion inside the protected network (PN) and improved the overall performance of the full network (FN) by decreasing the average vehicle travel time, decreasing the vehicle total delay, increasing the average vehicle speed and decreasing the average vehicle fuel consumption. Alternatively, the JTPC was shown to perform similar to the PC for jam densities higher than the base-case jam density used in the PC (in our case 160 veh/km/lane). However, the JTPC outperformed the PC for smaller jam densities given that these smaller jam densities result in queues spilling back faster to upstream traffic signals. The results demonstrate the need to tune the controller to the actual jam density especially when the jam density decreases (e.g. trucks are introduced to the network). http://pubsindex.trb.org/},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {1}
}

Conference:
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