Signal adaptive cooperative control of two adjacent traffic intersections using a two-stage algorithm

Zou, Yuanyang; Liu, Renhuai; Li, Ya; Ma, Yingshuang; Wang, Guoxin

doi:10.1016/j.eswa.2021.114746

Cited by 7 publications

(2 citation statements)

References 44 publications

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“…Zou et al searched for the optimal phase of the adjacent intersections. Te transition probabilities of the connection lanes of intersections 1 and 2 are introduced, which are utilized to compute the arrival rates of the connection lanes, and a corresponding model of the phases of the connection lanes is proposed [15]. Zhang et al propose a coordinated control model based on the platform to optimize the ofset between adjacent intersections.…”

Section: Literature Reviewmentioning

confidence: 99%

A Signal Optimization Model of Adjacent Closely Spaced Intersections Which Optimizes Pedestrian Crossing

Wang

Chen

Hang

et al. 2023

Journal of Advanced Transportation

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Adjacent closely spaced intersections with characteristics of short link distance and high pedestrian flow are primarily located in high-density urban areas. To address the problems of queue overflow, poor traffic operation, and high pedestrian travel delays, a pedestrian-motor vehicle signal optimization method for adjacent closely spaced intersections was proposed in this paper. First, the traffic flow entering the closely spaced intersections is divided into nonarterial and arterial flow categories to establish a delay model of pedestrian crossing. Then, a pedestrian crossing delay model based on pedestrian demand is constructed according to pedestrian crossing time and a space diagram. An optimization model for pedestrians and vehicles at adjacent closely spaced intersections is established, and an artificial intelligence algorithm is used to optimize this model. Finally, a selected case intersection is optimized. The results show that compared with a traditional single optimization method, vehicle delay decreased about 4%, 13.8%, 17.1%, and 25.9% and total pedestrian delay decreased by 3%, 15%, 25%, and 31%, respectively, for the four proposed scenarios.

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Section: Literature Reviewmentioning

confidence: 99%

A Signal Optimization Model of Adjacent Closely Spaced Intersections Which Optimizes Pedestrian Crossing

Wang

Chen

Hang

et al. 2023

Journal of Advanced Transportation

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“…At every level, an agent used the reinforcement learning algorithm to train long short-term memory neural networks for real-time traffic prediction. In [36], swarm-based heuristic optimization algorithms are used to address realtime traffic situations. The proposed solutions and their performance have been verified using the SUMO simulator tool.…”

Section: Related Workmentioning

confidence: 99%

Formal Modeling of Responsive Traffic Signaling System Using Graph Theory and VDM-SL

2021

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Internet of things (IoT) is playing a major role in smart cities to make a digital environment. Traffic congestion is a serious road issue because of an increasing number of vehicles in urban areas. Some crucial traffic problems include accidents and traffic jams that cause waste of fuel, health diseases, and a waste of time. Present traffic signaling systems are not efficient in resolving congestion problems because of the lack of traffic signals. Nowadays, traffic signaling systems are modeled with fixed time intervals in which no proper mechanism for emergency vehicles is available. Such traffic mechanisms failed to deal with traffic problems effectively. The major objective is to establish a robust traffic monitoring and signaling system that improves signal efficiency by providing a responsive scheme; appropriate routes; a mechanism for emergency vehicles and pedestrians in real-time using Vienna Development Method Specification Language (VDM-SL) formal method and graph theory. A formal model is constructed by considering objects, such as wireless sensors and cameras that are used for collecting information. Graph theory is used to represent the network and find appropriate routes. Unified Modeling Language is used to design the system requirements. The graph-based framework is converted into a formal model by using VDM-SL. The model has been validated and analyzed using many facilities available in the VDM-SL toolbox.

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A three-stage algorithm for coordinate controlling of multi-intersection signal

Zou

Liu

et al. 2023

Expert Systems with Applications

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Signal adaptive cooperative control of two adjacent traffic intersections using a two-stage algorithm

Cited by 7 publications

References 44 publications

A Signal Optimization Model of Adjacent Closely Spaced Intersections Which Optimizes Pedestrian Crossing

A Signal Optimization Model of Adjacent Closely Spaced Intersections Which Optimizes Pedestrian Crossing

Formal Modeling of Responsive Traffic Signaling System Using Graph Theory and VDM-SL

A three-stage algorithm for coordinate controlling of multi-intersection signal

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