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Lin S.,University of Chinese Academy of Sciences | Kong Q.-J.,Qingdao Academy of Intelligent Industries | Kong Q.-J.,CAS Institute of Automation
2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 | Year: 2014

Traffic control is an effective and efficient method for the problem of traffic congestion. For complex urban traffic networks, it is necessary to design a high-level controller to regulate the traffic demands. Under the parallel control framework for complex traffic networks, we design a demand-balance MPC controller based on the MFD-based multi-subnetwork model, which can optimize the network traffic mobility and the network traffic throughput by regulating the input traffic flows of the subnetworks. The transferring traffic flows among subnetworks are indirectly controlled by the demand-balance MPC controller, and a global optimality can be achieved for the entire traffic network. The simulation results show the effectiveness of the proposed controller in improving the network traffic throughput. © 2014 IEEE. Source

Liu Y.,Qingdao Academy of Intelligent Industries | Wang K.,Intelligent Systems Technology, Inc.
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2014 | Year: 2014

Vehicle classification system is an important part of intelligent transportation system (ITS), which can provide us the necessary information for autonomous navigation, toll systems, surveillance and security systems, and transport planning. In this paper, we introduce a vehicle classification system based on dynamic Bayesian network (DBN). Three main types of features are employed in our system: the geometrical characteristic of the vehicle, the location and shape of license plate, and the vehicle pose. Firstly, vehicle detection and tracking method are used to locate the vehicle. Then, we extract the features from video sequences. Gaussian Mixture Model (GMM) is used to construct the probability distribution of the feature. Finally, we classify a vehicle into one of four classes: sedan, bus, microbus, and unknown. The experiment shows the proposed method can achieve classification exactly and credibly. © 2014 IEEE. Source

Yuan Y.,CAS Institute of Automation | Yuan Y.,Qingdao Academy of Intelligent Industries | Zeng D.,CAS Institute of Automation | Zeng D.,University of Arizona | And 2 more authors.
IEEE Transactions on Systems, Man, and Cybernetics: Systems | Year: 2015

Quality score (QS) plays a critical role in sponsored search advertising (SSA) auctions, and in practice is closely correlated to the historical click-through rate (CTR) of an advertisement. The CTR-QS correlation may impose great influence on advertisers' positioning strategies of selecting the targeting slots in the sponsored list. In the literature, however, QS is implicitly assumed to be an independent variable and exogenously assigned by Web search engines, so that little theoretical or managerial insights can be offered to help understand the positioning dynamics in SSA auctions with CTR-QS correlation. We strive to bridge this research gap in this paper. Based on a discrete time-dependent optimal control model, which explicitly captures the relationship between the historical CTR and QS, we determine the optimal strategy for revenue-maximizing advertisers' QS-based positioning decisions through a policy-iteration-based numerical approximation method. We also investigate two practically-used heuristic strategies, namely the greedy and farsighted positioning strategies, aiming to examine and help understand advertisers' real-world positioning dynamics. Our analysis indicates that both the optimal and greedy positioning strategies lead advertisers to monotonically increase or decrease their targeting slots over time, which may cause a polarization trend emerging in SSA markets. Meanwhile, the farsighted positioning strategy can accelerate the polarization. Our simulations show that both the greedy and farsighted strategies have good revenue performance. Our findings indicate that advertisers should monotonically adjust their targeting positions to maximize their revenue in CTR-QS correlated SSA auctions. Our findings also highlight the need for Web search engine companies to set a lowered weight for historical CTRs or use position-normalized CTRs in their QS measurements, so as to suppress the polarization trend. © 2013 IEEE. Source

Wang F.-Y.,Chinese Academy of Sciences | Wang F.-Y.,National University of Defense Technology | Wang F.-Y.,Qingdao Academy of Intelligent Industries
IEEE Transactions on Intelligent Transportation Systems | Year: 2015

Provides an overview of the technical articles and features presented in this issue. © 2000-2011 IEEE. Source

Yuan Y.,CAS Institute of Automation | Yuan Y.,Qingdao Academy of Intelligent Industries | Wang F.-Y.,CAS Institute of Automation | Wang F.-Y.,National University of Defense Technology
Zidonghua Xuebao/Acta Automatica Sinica | Year: 2016

Blockchain is an emerging decentralized architecture and distributed computing paradigm underlying Bitcoin and other cryptocurrencies, and has recently attracted intensive attention from governments, financial institutions, high-tech enterprises, and the capital markets. Blockchain's key advantages include decentralization, time-series data, collective maintenance, programmability and security, and thus is particularly suitable for constructing a programmable monetary system, financial system, and even the macroscopic societal system. In this paper, we proposed a basic model of the blockchain system, discussed the principles, technologies, methods and applications of blockchain and the related Bitcoin systems. We also discussed the smart contract and its applications, and presented the future trends of blockchain-enabled paralleled societies. This paper is aimed at providing helpful guidance and reference for future research efforts. Copyright © 2016 Acta Automatica Sinica. All rights reserved. Source

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