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traffic control Based on Integrated Kalman Filtering and Adaptive Quantized Q-Learning Framework for Internet of Vehicles

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2103-2127页

作者： Othman S.Al-Heety Zahriladha Zakaria Ahmed Abu-Khadrah Mahamod Ismail Sarmad Nozad Mahmood Mohammed Mudhafar Shakir Hussein Alsariera Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka(UTeM)Durian TunggalMalaysia College of Computing&Informatics Saudi Electronic UniversityRiyadhSaudi Arabia Department of Electrical Electronic and System EngineeringUniversiti Kebangsaan MalaysiaUKM BangiSelangorMalaysia Computer Technology Engineering College of Engineering TechnologyAl-Kitab UniversityKirkukIraq Faculty of Engineering and Electronic Engineering Universiti Tun Hussein Onn Malaysia(UTHM)Batu PahatMalaysia 6Research Center DepartmentThe University of MashreqBaghdadIraq

Intelligent traffic control requires accurate estimation of the road states and incorporation of adaptive or dynamically adjusted intelligent algorithms for making the decision.In this article,these issues are handled by proposing a novel framework for traffic control using vehicular communications and Internet of Things data.The framework integrates Kalman filtering and Q-learning.Unlike smoothing Kalman filtering,our data fusion Kalman filter incorporates a process-aware model which makes it superior in terms of the prediction error.Unlike traditional Q-learning,our Q-learning algorithm enables adaptive state quantization by changing the threshold of separating low traffic from high traffic on the road according to the maximum number of vehicles in the junction roads.For evaluation,the model has been simulated on a single intersection consisting of four roads:east,west,north,and south.A comparison of the developed adaptive quantized Q-learning(AQQL)framework with state-of-the-art and greedy approaches shows the superiority of AQQL with an improvement percentage in terms of the released number of vehicles of AQQL is 5%over the greedy approach and 340%over the state-of-the-art approach.Hence,AQQL provides an effective traffic control that can be applied in today’s intelligent traffic system.

关键词： Q-learning intelligent transportation system(ITS) traffic control vehicular communication kalman filtering smart city Internet of Things

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traffic control optimization strategy based on license plate recognition data

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Journal of traffic and Transportation Engineering(English Edition) 2023年第1期10卷 45-57页

作者： Ruimin Li Shi Wang Pengpeng Jiao Shichao Lin Institute of Transportation Engineering Tsinghua UniversityBeijing 100084China Department of Civil Engineering Massachusetts Institute of TechnologyCambridgeMA 02139USA School of Civil and Transportation Engineering Beijing University of Civil Engineering and ArchitectureBeijing 100044China

traffic signal control is essential to the efficiency of the road network’s operation.In recent years,more and more detailed detection data provide potential data support for traffic signal control,such as license plate recognition(LPR)data.This study aims to develop a traffic signal control optimization method based on model predictive control(MPC)and LPR data.The proposed framework of a closed-loop control system is described in detail.First,the control objectives and queue prediction model for signalized intersection are determined.Then,online optimization and feedback compensation are discussed and implemented.Calculations of the arrival rate at the downstream are based on the LPR data detected at the upstream intersection,and dynamic optimization method of the offset is proposed for a coordinated control.The model is validated using the LPR data of two consecutive intersections with a traffic simulation platform.Results demonstrate that the model can restrain extreme long queuing,improve intersection capacity,and reduce intersection average delay.The developed model promotes the system operating efficiency and shows the general advantage of real-time optimization,feedback,and control.The proposed framework can be potentially applied by local traffic management centers to improve the quality of traffic signal control.

关键词： traffic control Model predictive control Closed-loop control License plate recognition data

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Step-coordination Algorithm of traffic control Based on Multi-agent System

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International Journal of Automation and computing 2009年第3期6卷 308-313页

作者： Hai-Tao Zhang Fang Yu Wen Li Electronic Information Engineering College Henan University of Science and Technology Luoyang 471003 PRC Materials Science arid Engineering College Zhengzhou University Zhengzhou 450001 PRC

Aiming at the deficiency of conventional traffic control method, this paper proposes a new method based on multi-agent technology for traffic control. Different from many existing methods, this paper distinguishes traffic control on the basis of the agent technology from conventional traffic control method. The composition and structure of a multi-agent system （MAS） is first discussed. Then, the step-coordination strategies of intersection-agent, segment-agent, and area-agent are put forward. The advantages of the algorithm are demonstrated by a simulation study.

关键词： traffic control coordination algorithm multi-agent system （MAS） traffic control system agent.

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P2P network traffic control mechanism based on global evaluation values

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The Journal of China Universities of Posts and Telecommunications 2009年第3期16卷 66-70页

作者： XU Xiao-long WANG Ru-chuan School of Computer Nanjing University of Posts and Telecommtmications Nanjing 210003 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China

Peer-to-peer（P2P） computing technology has been widely used on the Internet to exchange data. However, it occupies much network bandwidth, and thus greatly influences traditional business on the Internet. Besides, problems about free-riders and ＇tragedy of the commons＇ in the P2P environment estrange from it P2P users who constantly contribute to the network with quality resources. This article proposes a new P2P network traffic control mechanism based on global evaluation values. It aims to help individual users to avoid peak traffic time as much as possible, ease network congestion and protect traditional business on the Internet, as well as differentiating priority grades of peers according to their contributions and stimulating them to share their valuable resources actively. This article first analyzes the current state of network traffic, and then elaborates on P2P network traffic control policies and proposes the peer＇s priority level differentiation mechanism based on global evaluation values. Finally, after the testing results and analysis of the proposed P2P network traffic control mechanism are discussed, conclusions are drawn.

关键词： Peer-to-peer computing （P2P） traffic control global evaluation values

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Bus Priority control for Dynamic Exclusive Bus Lane

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Computers, Materials & Continua 2019年第7期61卷 345-361页

作者： Zhibo Gao Kejun Long Chaoqun Li Wei Wu Lee.D.Han Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems Changsha University of Science and TechnologyChangsha410205China School of traffic&Transportation Engineering Changsha University of Science and TechnologyChangsha410004China Department of Civil and Environmental Engineering University of Tennessee319 John D.Tickle BuildingKnoxvilleTN 37996-2313USA

One problem with the existing dynamic exclusive bus lane strategies is that bus signal priority strategies with multi-phase priority request at intersections are not adequately considered.The principle of bus signal priority level was designed based on the isolated multi-phase structure principle consideration of the bus signal priority,and a new priority approach for the dynamic exclusive bus lane was proposed.Two types of priority strategies,green extension and red truncation,were proposed for current phase and next phase buses,respectively.The control parameters including minimum green time,green extension time,maximum green time and bus arrival time are calculated.The case studies for this paper were carried out using four consecutive intersections of Huaide Middle Road in Changzhou City.The signal control scheme was designed using the conventional,exclusive bus lane method,the dynamic exclusive bus lane without signal priority method,and the proposed approach,respectively.The authors used the VISSIM simulation platform to evaluate the efficiency of each approach.Results showed that the method of approach can significantly decrease delays caused by social and conventional buses and make up for the negative impact social buses have on the bus rapid transit(BRT)operation,which allows the method to complement the dynamic,exclusive bus lane design.

关键词： traffic control dynamic exclusive bus lane signal priority control lane operation

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A Cooperative Multi-Agent System in traffic control

A Cooperative Multi-Agent System in Traffic Control

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第二十七届中国控制会议

作者： Han Quanye,Wang Xiaoming,Dang Jianwu School of Electronic & Information Engineering,Lanzhou Jiaotong University,Lanzhou,730070,P.R.China

Multi-Agent System（MAS） has been proven to be a useful domain for solving complex coordination and control problems,involving large numbers of autonomous entities interacting in a dynamic environment.traffic control is one such problem.In this paper,a kind of architecture based on MAS is presented to implement simplified traffic control in a Pro-active way by trying to predict and avoid road congestion.Then model is given to optimize ExplorationAnts in TCS.Also algorithms of Agents are described in detail.At last experimental results are presented to validate the approach.The major conclusion is that Pro-active congestion control is better than No congestion control not only in system throughput ＆ system stability but also in predicting ＆ avoiding road congestion.

关键词： traffic control Multi-Agent System Semaphore light Coordination traffic congestion

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An event-driven based vehicle-to-roadside data interaction scheme for traffic control purpose

An event-driven based vehicle-to-roadside data interaction s...

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第十一届中国智能交通年会

作者： Liu Haiqing Musangang Han Feng Wang Zhiming Postdoctoral Research Station of Hisense Group Hisense Trans Tech Co. Ltd.

Frequent exchanging messages between vehicles and the roadside unit(RSU) will cause large data redundancy and a waste of communication resources in the traffic information system based on vehicle-to-roadside communication network.In order to solve this problem,this paper proposes an event-driven based vehicle-to-roadside data interaction scheme for traffic control purpose.The road traffic congestion index is calculated based on the vehicle driving status collected by vehicle-to-roadside communication.Further,according to different traffic application requirements of signal control and the variation of the congestion index,four different congestion events and the associated data interaction models are presented.When certain congestion event happens,vehicles dynamically adjust the data transmitting frequency to the RSU based on the interaction model.Simulation results show that,vehicles generate less data packets compared with the time-driven scheme under certain conditions.

关键词： Cooperative Vehicle Infrastructure System Vehicle-to-Roadside Communication Event Driven Vehicle Status Information Collection traffic control

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SINGLE INTERSECTION traffic control THROUGH FUZZY LOGIC AND NEURAL NETWORKS

SINGLE INTERSECTION TRAFFIC CONTROL THROUGH FUZZY LOGIC AND ...

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第11届国际模糊系统协会世界大会

作者： A.Renteria R.Tanscheit M.M.Vellasco Dept.of Electrical Engineering Catholic University of Rio de Janeiro PO Box 38046 Rio de JaneiroRJ-Brazil Dept.of Electrical Engineering Catholic University of Rio de Janeiro PO Box 38046 Rio de JaneiroRJ-Brazil Dept.of Electrical Engineering Catholic University of Rio de Janeiro PO Box 38046 Rio de JaneiroRJ-Brazil

＜正＞ This work presents the use of Fuzzy Logic and Neural Networks in the design of a single intersection traffic controller - FUNNCON. The paper consists of traffic engineering fundamentals, a methodology for evaluating traffic Adaptive controllers and presents the proposed FUNNCON system, which is composed of two basic modules: traffic Prediction and traffic control. Neural networks are employed in traffic prediction and a Fuzzy Inference System is employed for the actual control of traffic signals. The fuzzy rules are automatically derived from optimal scenarios established by a traffic simulator. Results show that neural networks can produce good results in traffic prediction and that the derived fuzzy rules can provide an effective traffic control at the intersection considered. The performance of FUNNCON is evaluated with actual data and the results are widely superior to that of the system currently in operation.

关键词： traffic control Neural Networks Fuzzy Logic.

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Multilevel control of traffic Flow in a Motorway Network

Multilevel Control of Traffic Flow in a Motorway Network

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第30届中国控制与决策会议

作者： Yubin Wang Wenyong Li Jan H.van Schuppen Jos Vrancken School of Architecture and Transportation Engineering Guilin University of Electronic Technology Van Schuppen control Research The Faculty of Technology Policy and Management Delft University of Technology

This paper presents a Multilevel control framework which offers a scalable approach to network-level traffic management, in short: Network Management(NM), which is the coherent management of traffic in large road networks.The framework distributes the complexity of NM among different levels and, per level, among a number of subnetworks,such that each management instance has only a limited amount of complexity to cope with. In this way, NM becomes feasible and scalable, such that it can be applied to heterogeneous networks of arbitrary size.

关键词： Multilevel control traffic control traffic Network Management

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On the traffic control Method for Congested Urban Road Based on Synergetics Theory

On the Traffic Control Method for Congested Urban Road Based...

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第二十七届中国控制会议

作者： Wang Yuan,Yang Zhaosheng,Guan Qing ITS Research and Development Center,Jilin University,Changchun 130022,P.R.China

traffic congestion of urban cities are becoming more and more serious.Dealing with congestion is becoming more and more indispensable.Firstly,this paper summarizes the research all over the world.After that,a traffic control method based on synergetics theory is proposed.Architecture,strategies and models are proposed.At last,a simulation based on VISSIM 4.2 using this method is done to evaluate its effect and validity.The results prove that this method is useful and better than tradi-tional method.

关键词： Congestion traffic control Synergetics Theory

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