Stabilization of city-scale road traffic networks via macroscopic fundamental diagram-based model predictive perimeter control

Sirmatel, Isik Ilber; Geroliminis, Nikolas

doi:10.1016/j.conengprac.2021.104750

Cited by 68 publications

(22 citation statements)

References 61 publications

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“…For future work, the proposed network control methodology can be studied in conjunction with a route recommendation system (Chow et al, 2020). Enhancing the algorithm by incorporating it within a hierarchical control scheme such as Perimeter control (Li et al, 2021;Sirmatel and Geroliminis, 2021) is another future direction. The impact of link length and noise in the queue length and arrival flow estimations can also be studied.…”

Section: Summary and Future Researchmentioning

confidence: 99%

Real-time decentralized traffic signal control for congested urban networks considering queue spillbacks

Noaeen

Mohajerpoor

Far

et al. 2021

Transportation Research Part C: Emerging Technologies

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This paper proposes a decentralized network-level traffic signal control method addressing the effects of queue spillbacks. The method is traffic-responsive, does not require data communication between intersections' controllers, uses lane-based queue measurements, and is acyclic. Each traffic controller operating at an intersection aims at maximizing the effective outflow rate locally and independently with the goal of maximizing global throughput of the entire network. At each intersection, the signal control method estimates and adopts the maximum possible phase time in which all active movements discharge at their full capacity. This is modeled using a shockwave based queue length estimation model while capturing the spillback at the downstream links. The method demands real-time data including, the queue lengths, the arrival flows, and the downstream queue lengths in all the lanes at the control decision times. The proposed method results in a feasible solution in all conditions in the entire network with any scale within a short amount of time. A stability concept for the traffic network is defined, and asymptotic stability of the controlled traffic network are verified. Moreover, a sufficient condition for the optimality of the proposed control algorithm for maximizing the instantaneous total throughput of the network intersections is demonstrated. Numerical results show that the proposed method outperforms benchmark methods in both isolated intersection and network configurations.

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Section: Summary and Future Researchmentioning

confidence: 99%

Real-time decentralized traffic signal control for congested urban networks considering queue spillbacks

Noaeen

Mohajerpoor

Far

et al. 2021

Transportation Research Part C: Emerging Technologies

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show abstract

“…Controlling traffic in urban road networks remains challenging. As such, it was suggested a nonlinear model with a predictive perimeter control system for ordinance and commercial optimization goals, with closed-loop stability during development, which is for the effective and reliable control of city-scale traffic [15][16][17][18]. Traffic light control and the flow of urban traffic are essential elements for city traffic management.…”

Section: Literature Review 21 Overview Control Trafficmentioning

confidence: 99%

Traffic Control Prediction Design Based on Fuzzy Logic and Lyapunov Approaches to Improve the Performance of Road Intersection

2021

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Due to the increasing use of private cars for urbanization and urban transport, the travel time of urban transportation is increasing. People spend a lot of time in the streets, and the queue length of waiting increases accordingly; this has direct effects on fuel consumption too. Traffic flow forecasts and traffic light schedules were studied separately in the urban traffic system. This paper presents a new stable TS (Takagi–Sugeno) fuzzy controller for urban traffic. The state-space dynamics are utilized to formulate both the vehicle’s average waiting time at an isolated intersection and the length of queues. A fuzzy intelligent controller is designed for light control based upon the length of the queue, and eventually, the system’s stability is proved using the Lyapunov theorem. Moreover, the input variables are the length of queue and number of input or output vehicles from each lane. The simulation results describe the appearance of the proposed controller. An illustrative example is also given to show the proposed method’s effectiveness; the suggested method is more efficient than both the conventional fuzzy traffic controllers and the fixed time controller.

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“…In this framework, we will be able to chase where congestion originates and how traffic management systems affect its formation and the time it finishes. Different control strategies are developed based on principles of optimization control theory [9]- [12].…”

Section: Keynote Speechesmentioning

confidence: 99%

The 23rd IEEE International Conference on Intelligent Transportation Systems (Virtual) [Conference Reports]

Morris¹

2021

IEEE Intell. Transport. Syst. Mag.

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Stabilization of city-scale road traffic networks via macroscopic fundamental diagram-based model predictive perimeter control

Cited by 68 publications

References 61 publications

Real-time decentralized traffic signal control for congested urban networks considering queue spillbacks

Real-time decentralized traffic signal control for congested urban networks considering queue spillbacks

Traffic Control Prediction Design Based on Fuzzy Logic and Lyapunov Approaches to Improve the Performance of Road Intersection

The 23rd IEEE International Conference on Intelligent Transportation Systems (Virtual) [Conference Reports]

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