Continuous and Discrete-Time Optimal Controls for an Isolated Signalized Intersection

Tan, Jiyuan; Shi, Xiangyun; Li, Zhiheng; Yang, Kaidi; Xie, Na; Yu, Haiyang; Wang, Li; Li, Zhengxi

doi:10.1155/2017/6290248

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…However, through actual observation, it is found that due to the different channelization design of intersections and traffic conditions, the parameters such as saturated flow rate and loss time will change accordingly, which leads to the failure of optimization objective function and unreasonable timing scheme [9][10][11][12] . Therefore, this paper analyzes the characteristics of traffic flow release at high load intersection, puts forward the calculation model of traffic flow release rate and loss time, and further designs the signal timing optimization model of high load intersection, in order to provide guidance for signal timing design of oversaturated intersection [13][14][15][16] .…”

Section: Introductionmentioning

confidence: 99%

Intersection signal timing optimization method based on dynamic saturation flow rate

2021

jecet

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：In view of the unreasonable scheme design caused by the use of fixed parameters in the traditional timing model, this paper, on the basis of fully considering the intersection channelization and the relationship between supply and demand, first of all, finely analyzes the traffic flow release characteristics of high-load intersections, and determines the maximum release rate and duration of five stages. Then, the calculation model of total loss time of intersection is proposed, which is used as the optimization goal of signal timing at oversaturated intersection, and the optimization model of green light and signal cycle is constructed. Finally, the effectiveness of the model is verified by an example. The results show that the traffic efficiency of the intersection has been effectively improved.

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Section: Introductionmentioning

confidence: 99%

Intersection signal timing optimization method based on dynamic saturation flow rate

2021

jecet

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“…In the traditional sense, the improvement of intersection efficiency mostly focuses on the optimization of intersection signal control. Tan et al [6] studied the continuous-time and discrete-time signal timing models for the classical isolated signalized intersection with only two one-way vehicle flows and proposed a gradient descent algorithm. Wu et al [7] established a cellular automata model with greedy algorithm for the traffic control of intersections in autonomous vehicle environment.…”

Section: Introductionmentioning

confidence: 99%

An Intersection Platoon Speed Control Model Considering Traffic Efficiency and Energy Consumption in CVIS

Ren

Zhang

et al. 2021

Mathematical Problems in Engineering

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This paper proposed an intersection platoon speed control model considering traffic efficiency and energy consumption in the cooperative vehicle-infrastructure systems (CVIS) environment. This model divides the control situation in detail according to the different state of signal lights at the intersection and splits the platoon that cannot pass the intersection completely. The optimization model is established by taking the traffic delay and energy consumption of the platoon as the control objectives, and the model is solved by using a genetic algorithm (GA). Finally, the simulation platform is built by SUMO traffic simulation software, MATLAB, and Python to verify the model. The simulation results show that the total number of queued vehicles, the maximum number of queued vehicles, and the mean travel time of vehicles decreased by 77.81%, 33.33%, and 10.95%, respectively. Besides, the total fuel consumption is reduced by 19.95%, the total emissions of CO2, CO, HC, NOx, and PMx decreased by 19.96%, 58.55%, 51.33%, 23.81%, and 37.51%, respectively. It indicates that the proposed platoon speed control model can effectively improve traffic efficiency while reducing energy consumption and pollutant emissions.

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Algorithm of Intelligent Urban Traffic

Boguto¹,

Kadomskiy²,

Nikolyuk³

et al. 2019

Bulletin of V.N. Karazin Kharkiv National University, Series «Mathematical Modeling. Information Technology. Automated Control

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Intersection is a basic element in the technology of urban traffic regulation. It is such object where city roads intersect and which is the main cause and source of congestion. Therefore, first of all, it is necessary to implement the intellectual regulation of vehicles movement through a separate intersection. Such regulation is carried out with a help of a computer program that takes into account the vehicle road situation at the intersection and the corresponding correction of the traffic lights signal phases. At a second stage it is necessary to plan an optimal route for each vehicle using, for example, A*-algorithm and the spectrum of data received from an infrastructure of the urban network. As a result of an application of these two phases of urban traffic regulation, an optimal movement regime of all city mobile transport is achieved. This work is practical and aimed at solving a specific problem – traffic problem in a big city.

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Continuous and Discrete-Time Optimal Controls for an Isolated Signalized Intersection

Cited by 3 publications

References 25 publications

Intersection signal timing optimization method based on dynamic saturation flow rate

Intersection signal timing optimization method based on dynamic saturation flow rate

An Intersection Platoon Speed Control Model Considering Traffic Efficiency and Energy Consumption in CVIS

Algorithm of Intelligent Urban Traffic

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