Critical Scenarios and Their Identification in Parallel Railroad Level Crossing Traffic Control Systems

Huang, Yi‐Sheng; Weng, Yi-Shun; Zhou, MengChu

doi:10.1109/tits.2010.2076390

Cited by 49 publications

(15 citation statements)

References 31 publications

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“…7. The initial state x i (i = 1, 2, …) is assigned randomly in [0, 30), [30, 45) and [45, 60), disturbance e i (i = 1, 2, …) is randomly generated in the range [0, 5) and [5,10).…”

Section: Simulations and Resultsmentioning

confidence: 99%

Distributed Model Predictive Control Method for Optimal Coordination of Signal Splits in Urban Traffic Networks

Ye¹,

Wu²,

Mao³

2014

Asian Journal of Control

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Coordination and control approaches based on model predictive control (MPC) have been widely investigated for traffic signal control in urban traffic networks. However, due to the complex non‐linear characters of traffic flows and the large scale of traffic networks, a basic challenge faced by these approaches is the high online computational complexity. In this paper, to reduce the computational complexity and improve the applicability of traffic signal control approaches based on MPC in practice, we propose a distributed MPC approach (DCA‐MPC) to coordinate and optimize the signal splits. Instead of describing the dynamics of traffic flow within each link of the traffic network with a simplified linear model, we present an improved nonlinear traffic model. Based on the nonlinear model, an MPC optimization framework for the signal splits control is developed, whereby the interactions between subsystems are accurately modeled by employing two interconnecting constraints. In addition, by designing a novel dual decomposition strategy, a distributed coordination algorithm is proposed. Finally, with a benchmark traffic network, experimental results are given to illustrate the effectiveness of the proposed method.

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“…7. The initial state x i (i = 1, 2, …) is assigned randomly in [0, 30), [30, 45) and [45, 60), disturbance e i (i = 1, 2, …) is randomly generated in the range [0, 5) and [5,10).…”

Section: Simulations and Resultsmentioning

confidence: 99%

Distributed Model Predictive Control Method for Optimal Coordination of Signal Splits in Urban Traffic Networks

Ye¹,

Wu²,

Mao³

2014

Asian Journal of Control

View full text Add to dashboard Cite

show abstract

“…For convenience, let ξ{n, s}, δ{e, w}, and χ{n, e, s, w}. We are interested in a control policy for an intersection where the following statements are true [27]:…”

Section: Traffic Light Controlmentioning

confidence: 99%

“…Furthermore, two-way roads are more commonly found in urban traffic networks than one-way ones. Qi et al [5]- [7] have designed emergency traffic-light control systems by using a Petri net (PN) model [8]- [26] to prevent large-scale traffic congestions induced by accidents at intersections, because PNs are well utilized as a visual and mathematical formalism to model such systems [27]- [31]. Dotoli et al [32] addresses urban traffic control using an optimization model for signalized areas to solve the severe traffic congestion.…”

Section: Introductionmentioning

confidence: 99%

An emergency traffic light strategy to prevent traffic congestion

Zhou

Luan

2016

2016 IEEE 13th International Conference on Networking, Sensing, and Control (ICNSC)

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This work designs an emergency traffic light strategy at signalized traffic intersections in order to prevent traffic congestion. Some additional warning lights are used. The emergency strategy is realized by the cooperation of traffic lights and warning lights. It contains a ban signal strategy, and a warning signal strategy. A two-way rectangular grid network is modeled via the cell transmission model. The effectiveness of the proposed strategy is evaluated through simulations in the modeled grid network. Simulation results identify the influence of rout-changing behaviors of drivers, the time when to operate the emergency strategy, and the inflow of the traffic network. They can be used to improve the state of the art in preventing urban road traffic congestion caused by incidents.

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“…It is worth noting that timed colored Petri nets (TCPNs) are also used as a graphic formalism for the design of complex systems. Our prior results have successfully used TCPNs to construct intelligent urban traffic light control systems. In order to design the scenarios of the traffic flow and control logic, artificial intelligence methodologies and mathematical programming techniques are proposed.…”

Section: Introductionmentioning

confidence: 99%

Design of Regulatory Traffic Light Control Systems with Synchronized Timed Petri Nets

Huang

Weng

Zhou

2017

Asian Journal of Control

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Fixing the phases is one of the common methods to control an urban traffic network. Once a road is filled with a high traffic flow approaching its capacity, the conventional traffic light controller is not able to handle this traffic congestion phenomenon well. In this paper, we propose a novel regulatory traffic light control system to handle such traffic congestion by using synchronized timed Petri nets (STPNs). Three kinds of intersections in an urban traffic network are defined and employed to demonstrate our new regulatory traffic light control system models. Finally, the liveness and reversibility of the proposed STPN models are proven through the reachability graph analysis method. To our knowledge, this is the first work that solves a traffic congestion problem with a regulatory traffic light control technique that is effective in preventing vehicles from entering traffic congestion zones.

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Critical Scenarios and Their Identification in Parallel Railroad Level Crossing Traffic Control Systems

Cited by 49 publications

References 31 publications

Distributed Model Predictive Control Method for Optimal Coordination of Signal Splits in Urban Traffic Networks

Distributed Model Predictive Control Method for Optimal Coordination of Signal Splits in Urban Traffic Networks

An emergency traffic light strategy to prevent traffic congestion

Design of Regulatory Traffic Light Control Systems with Synchronized Timed Petri Nets

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