Modeling and Control Using Stochastic Distribution Control Theory for Intersection Traffic Flow

This work investigated stochastic distribution control theory-based traffic signal optimization to achieve a smooth and uniform flow of vehicles through signalized intersections. In this context, the static and linear dynamic stochastic distribution models were developed to express the relationship...

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Vydáno v:IEEE transactions on intelligent transportation systems Ročník 23; číslo 3; s. 1885 - 1898
Hlavní autoři: Wang, Hong, Patil, Sagar V., Aziz, H. M. Abdul, Young, Stanley
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.03.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Control algorithms
Control theory
Heuristic algorithms
Mathematical model
Optimization
Probability density functions
Probability theory
Queueing analysis
Queues
Real-time systems
stochastic distribution control
Stochastic processes
Timing
Traffic control
Traffic flow
Traffic intersections
Traffic models
traffic queue control
Traffic queue model
Traffic signals
Uniform flow
ISSN:1524-9050, 1558-0016
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Shrnutí:This work investigated stochastic distribution control theory-based traffic signal optimization to achieve a smooth and uniform flow of vehicles through signalized intersections. In this context, the static and linear dynamic stochastic distribution models were developed to express the relationship between the signal timing and the traffic queue length together with its probability density function. Two stochastic distribution control algorithms were designed to control the signal timing at intersections such that the probability density function of the traffic queue of each intersection road segment is made as narrow and as small as possible. Also, a recursive input-output traffic queue estimation model was proposed, which is data-driven and dynamic in nature, to calculate real-time traffic queue length using traffic signal timings and loop-detector data. The control algorithms were evaluated for a one-signal corridor, two-signal corridor, and <inline-formula> <tex-math notation="LaTeX">2 \times 2 </tex-math></inline-formula> network of signalized intersections. MATLAB simulation examples are provided to demonstrate the use of the proposed algorithms and comparison to the existing widely-used semi-actuated control has been made. Desired results were obtained.
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ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2020.3028994