Weather-Tuned Network Perimeter Control - A Network Fundamental Diagram Feedback Controller Approach

Elouni, Maha; Rakha, Hesham

doi:10.5220/0006679900820090

Cited by 6 publications

(4 citation statements)

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“…ese adjustment factors vary as a function of the precipitation type, precipitation intensity, and visibility level [18]. ese models were used to develop a macroscopic weather-tuned perimeter controller that was implemented in the Integration software [19,20] and tuned using clear weather data and then tested for clear and inclement weather conditions [21,22]. Alhassan and Ben-Edigbe studied the effect of precipitation on traffic flow and, thus, the consequences on highway capacity [9].…”

Section: Literature Reviewmentioning

confidence: 99%

Joint Impact of Rain and Incidents on Traffic Stream Speeds

Elhenawy

Rakha

Ashqar

2021

Journal of Advanced Transportation

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Unpredictable and heterogeneous weather conditions and road incidents are common factors that impact highway traffic speeds. A better understanding of the interplay of different factors that affect roadway traffic speeds is essential for policymakers to mitigate congestion and improve road safety. This study investigates the effect of precipitation and incidents on the speed of traffic in the eastbound direction of I-64 in Virginia. To the best of our knowledge, this is the first study that studies the relationship between precipitation and incidents as factors that would have a combined effect on traffic stream speeds. Furthermore, using a mixture model of two linear regressions, we were able to model the two different regimes that the traffic speed could be classified into, namely, free-flow and congested. Using INRIX traffic data from 2013 through 2016 along a 25.6-mi section of Interstate 64 in Virginia, results show that the reduction of traffic speed only due to incidents ranges from 41% to 75% if the road is already congested. In this case, precipitation was found to be statistically insignificant. However, regardless of the incident impact, the effect of light rain in free-flow conditions ranges from insignificant to a 4% speed reduction while the effect of heavy rain ranges from a 0.6% to a 6.5% speed reduction when the incident severity is low but has a roughly double effect when the incident severity is high.

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Section: Literature Reviewmentioning

confidence: 99%

Joint Impact of Rain and Incidents on Traffic Stream Speeds

Elhenawy

Rakha

Ashqar

2021

Journal of Advanced Transportation

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“…Numerous real-time perimeter controllers have been developed based on control theory, including: a standard proportional-integral (PI) controller [ 5 , 43 ], a robust PI controller [ 44 ], a sliding mode controller [ 45 ], a model predictive controller (MPC) [ 46 , 47 ], and a linear quadratic (LQ) controller [ 48 ]. The literature [ 5 , 49 , 50 ] shows that the PI perimeter controller is simple and efficient at reducing traffic congestion in an urban network.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Traffic Signal Control: Game-Theoretic Decentralized vs. Centralized Perimeter Control

Elouni

Abdelghaffar

Rakha

2021

Sensors

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This paper compares the operation of a decentralized Nash bargaining traffic signal controller (DNB) to the operation of state-of-the-art adaptive and gating traffic signal control. Perimeter control (gating), based on the network fundamental diagram (NFD), was applied on the borders of a protected urban network (PN) to prevent and/or disperse traffic congestion. The operation of gating control and local adaptive controllers was compared to the operation of the developed DNB traffic signal controller. The controllers were implemented and their performance assessed on a grid network in the INTEGRATION microscopic simulation software. The results show that the DNB controller, although not designed to solve perimeter control problems, successfully prevents congestion from building inside the PN and improves the performance of the entire network. Specifically, the DNB controller outperforms both gating and non-gating controllers, with reductions in the average travel time ranging between 21% and 41%, total delay ranging between 40% and 55%, and emission levels/fuel consumption ranging between 12% and 20%. The results demonstrate statistically significant benefits of using the developed DNB controller over other state-of-the-art centralized and decentralized gating/adaptive traffic signal controllers.

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“…To find the system state equation ( du l (t) dt ), two assumptions were made [35], [36]: (1) the outflow of link l is proportional to the average flow on link l, and (2) the inflow into link l is equal to the outflow of link l − 1. These assumptions are expressed in Equations 4 and 5.…”

Section: Proposed Model and Controller Formulation A Model Formumentioning

confidence: 99%

Development of a Connected Vehicle Dynamic Freeway Variable Speed Controller

et al. 2020

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Traffic congestion is a major challenge in urban areas, and is associated with longer travel times, increased vehicle emissions, and numerous vehicle crashes. Creating an efficient mobility system is difficult, given that each driver is usually trying to optimize their individual trip within the network without accounting for other road users. However, new technologies in modern vehicles, especially connected vehicle technologies, make it increasingly possible to find solutions to network efficiency problems. Connected technologies allow data sharing between vehicles, allowing for greater system optimization. This work takes advantage of connectivity to develop a global framework to increase transportation network efficiency and address the aforementioned challenges. To enhance mobility, this paper presents a dynamic freeway speed controller based on the sliding mode theory, which uses the fundamental equations governing traffic dynamics in combination with variable speed limit control in order to provide advisory speeds for connected vehicles. Simulation results on a downtown Los Angeles network show significant reductions in trip times and delays both on freeways (where the control was activated) and network-wide (i.e., freeways and other roadways). Specifically, the results for the entire network showed a 12.17% reduction in travel time and a 20.67% reduction in total delay. These results had the secondary effect of reducing fuel consumption and therefore CO 2 emissions by 2.6% and 3.3%, respectively. The results for the freeway network alone showed a 20.48% reduction in travel time and a 21.63% reduction in queued vehicles. These results reveal the significant potential benefits of using the proposed speed harmonization controller on real large-scale networks. INDEX TERMS Connected vehicles, large scale network, sliding control, speed harmonization, variable speed control.

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Weather-Tuned Network Perimeter Control - A Network Fundamental Diagram Feedback Controller Approach

Cited by 6 publications

References 0 publications

Joint Impact of Rain and Incidents on Traffic Stream Speeds

Joint Impact of Rain and Incidents on Traffic Stream Speeds

Adaptive Traffic Signal Control: Game-Theoretic Decentralized vs. Centralized Perimeter Control

Development of a Connected Vehicle Dynamic Freeway Variable Speed Controller

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