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| 1 | A Survey of Model Predictive Control Methods for Traffic Signal Control显示文摘Enhancing traffic efficiency and alleviating(even circumventing) traffic congestion with advanced traffic signal control(TSC) strategies are always the main issues to be addressed in urban transportation systems. Since model predictive control(MPC) has a lot of advantages in modeling complex dynamic systems, it has been widely studied in traffic signal control over the past 20 years. There is a need for an in-depth understanding of MPC-based TSC methods for traffic networks. Therefore, this paper presents the motivation of using MPC for TSC and how MPC-based TSC approaches are implemented to manage and control the dynamics of traffic flows both in urban road networks and freeway networks. Meanwhile, typical performance evaluation metrics, solution methods, examples of simulations,and applications related to MPC-based TSC approaches are reported. More importantly, this paper summarizes the recent developments and the research trends in coordination and control of traffic networks with MPC-based TSC approaches. Remaining challenges and open issues are discussed towards the end of this paper to discover potential future research directions. | Bao-Lin Ye Weimin Wu Keyu Ruan Lingxi Li Tehuan Chen Huimin Gao Yaobin Chen | 2019 | IEEE/CAA Journal of Automatica Sinica2019，6，3： | 4 |
| 2 | Magnetic properties and giant magneto-impedance effect study of Fe-based nanocry-stalline powder显示文摘The macroscopic and microscopic magnetic properties for amorphous and nanocrystalline Fe73.5Cu1Nb3-Si13.5B9 powder have been investigated and their giant mag-neto-impedance (GMI) effect is reported for the first time. The experimental results show that powder sample annealed at 510℃ possesses the optimum soft magnetic properties. However, the maximum longitudinally driven GMI (LDGMI) ratio (about 52%) is found in the sample annealed at 600℃. This means that the LDGMI ratio depends on not only their magnetic properties but also their electric properties. | ZHAO Zhenjie F.Bendjaballah JIANG Keyu RUAN Jianzhong YANG Xielong YANG Deping | 2002 | Chinese Science Bulletin2002，47，2： | 1 |
| 3 | Superior lithium storage performance in MoO_(3) by synergistic effects:Oxygen vacancies and nanostructures显示文摘Molybdenum trioxide(MoO_(3))has recently attracted wide attention as a typical conversion-type anode of Li-ion batteries(LIBs).Nevertheless,the inferior intrinsic conductivity and rapid capacity fading during charge/discharge process seriously limit large-scale commercial application of MoO_(3).Herein,the density function theory(DFT)calculations show that electron-proton co-doping preferentially bonds symmetric oxygen to form unstable HxMoO_(3).When the-OH-group in HxMoO_(3) is released into the solution in the form of H_(2)O,it is going to form MoO_(3-x)with lower binding energy.By the means of both electron-proton co-doping and high-energy nanosizing,oxygen vacancies and nanoflower structure are introduced into MoO_(3) to accelerate the ion and electronic diffusion/transport kinetics.Benefitting from the promotion of ion diffusion kinetics related to nanostructures,as well as both the augmentation of active sites and the improvement of electrical conductivity induced by oxygen vacancies,the MoO_(3-x)/nanoflower structures show excellent lithium-ion storage performance.The prepared specimen has a high lithium-ion storage capacity of 1261 mA h g^(-1)at 0.1 A g^(-1)and cyclic stability(450 cycle),remarkably higher than those of previously reported MoO_(3)-based anode materials. | Xueyang Hou Miao Ruan Lijiao Zhou Jianchun Wu Bicheng Meng Wenlong Huang Kenan Zhong Kai Yang Zhao Fang Keyu Xie | 2023 | Journal of Energy Chemistry2023，，3： | 0 |
| 4 | Standardized Evaluation of Camera-based Driver State Monitoring Systems显示文摘Driver state sensing technologies, such as vehicular systems, start to be widely considered by automotive manufacturers. To reduce the cost and minimize the intrusiveness towards driving, the majority of these systems rely on the in-cabin camera(s) and other optical sensors. With their great capabilities in detecting and intervening of driver distraction and inattention,these technologies may become key components in future vehicle safety and control systems. However, to the best of our knowledge,currently, there is no common standard available to objectively compare the performance of these technologies. Thus, it is imperative to develop one standardized process for evaluation purposes.In this paper, we propose one systematic and standardized evaluation process after successfully addressing three difficulties:1) defining and selecting the important influential individual and environmental factors, 2) countering the effects of individual differences and randomness in driver behaviors, and 3) building a reliable in-vehicle driver head motion tracking tool to collect ground-truth motion data. We have collected data on a large scale on a commercial driver state-sensing platform. For each subject, 30 to 40 minutes of head motion data was collected and included variables, such as lighting conditions, head/face features,and camera locations. The collected data was analyzed based on a proposed performance measure. The results show that the developed process can efficiently evaluate an individual camerabased driver state sensing product, which builds a common base for comparing the performance of different systems. | Renran Tian Keyu Ruan Lingxi Li Jialiang Le Jeff Greenberg Saeed Barbat | 2019 | IEEE/CAA Journal of Automatica Sinica2019，6，3： | 0 |
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