An Optimal Coordination Framework for Connected and Automated Vehicles in two Interconnected Intersections

In this paper, we provide a decentralized optimal control framework for coordinating connected and automated vehicles (CAVs) in two interconnected intersections. We formulate a control problem and provide a solution that can be implemented in real time. The solution yields the optimal acceleration/deceleration of each CAV under the safety constraint at "conflict zones," where there is a chance of potential collision. Our objective is to minimize travel time for each CAV. If no such solution exists, then each CAV solves an energy-optimal control problem. We evaluate the effectiveness of the efficiency of the proposed framework through simulation.Comment: 8 pages, 5 figures, IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS 201

Experimental Validation of a Real-Time Optimal Controller for Coordination of CAVs in a Multi-Lane Roundabout

Roundabouts in conjunction with other traffic scenarios, e.g., intersections, merging roadways, speed reduction zones, can induce congestion in a transportation network due to driver responses to various disturbances. Research efforts have shown that smoothing traffic flow and eliminating stop-and-go driving can both improve fuel efficiency of the vehicles and the throughput of a roundabout. In this paper, we validate an optimal control framework developed earlier in a multi-lane roundabout scenario using the University of Delaware's scaled smart city (UDSSC). We first provide conditions where the solution is optimal. Then, we demonstrate the feasibility of the solution using experiments at UDSSC, and show that the optimal solution completely eliminates stop-and-go driving while preserving safety.Comment: 6 Pages, 4 Figures, 1 tabl

A STUDY ON THE RELATION BETWEEN LEAKAGE CURRENT AND SPECIFIC CREEPAGE DISTANCE

International audienceThe usage of polymeric insulators is common due to their advantages in comparison with porcelain insulators. Environmental and electrical stresses have got deteriorating effects on polymeric insulators. Thus, knowing about behaviour of these types of insulators under various stresses is necessary. Till now, various electrical tests have been performed on polymeric insulators to investigate their performance in different situations and to provide a solution for predicting their effective lifetime. Also some standards for testing polymeric insulators have been proposed e.g. IEC62217. In this paper, three pairs of similar 63kV and three pairs of similar 132kV polymeric insulators have been selected for studying the relation between leakage current of polymeric insulators and their specific creepage distance based on IEC62217 standard. The specimens have been tested in three different creepage distances which are proportion of overall creepage distance. The Fast Fourier Transform analysis has been used to find the harmonic spectrum of the leakage current. The results showed that the amplitude of harmonic components for 63kV insulators in all three cases is mostly equal to each other and similarly for 132kV insulators

HARMONIC ANALYSIS OF LEAKAGE CURRENT OF SILICON RUBBER INSULATORS IN CLEAN-FOG AND SALT-FOG

International audienceEnvironmental and electrical stresses have deterioration effects on Silicon Rubber (SIR) insulators. In coastal areas due to high amount of salt, humidity and dust suspended in the air, the deterioration process is intensive. In this paper, based on IEC 60507 the leakage current (LC) of 20kV SIR insulators has been investigated in clean-fog and salt-fog with and without artificial pollution. Tests have been executed with six similar SIR insulators. A pair of polluted and clean SIR insulators is subjected to clean-fog; other two pairs are subjected to salt-fog with 5 and 10 kg/m 3 salinity respectively. Results show that combination of pollution and salt-fog is more destructive than clean-fog, where the main reason may be the increase of conductivity. Dry band arcing makes insulator perform nonlinearly and some LC waveform harmonic growth. The Fast Fourier Transform (FFT) method, used to find the harmonic spectrum of the LC. Results, also illustrate the coordination between the 3 rd and 5 th harmonic components of the LC and insulators surface condition

An Intelligent Approach to Detecting Novel Fault Classes for Centrifugal Pumps Based on Deep CNNs and Unsupervised Methods

Despite the recent success in data-driven fault diagnosis of rotating machines, there are still remaining challenges in this field. Among the issues to be addressed, is the lack of information about variety of faults the system may encounter in the field. In this paper, we assume a partial knowledge of the system faults and use the corresponding data to train a convolutional neural network. A combination of t-SNE method and clustering techniques is then employed to detect novel faults. Upon detection, the network is augmented using the new data. Finally, a test setup is used to validate this two-stage methodology on a centrifugal pump and experimental results show high accuracy in detecting novel faults.Comment: 6 pages, 9 figure

The Investigation of Factors Affecting the Liquidity of Banks and Financial Credit Institutions in Iran

Nowadays, the liquidity management is one of the biggest challenges facing the banking system. For proper management of liquidity, identifying the influencing factors is necessary. This study is aimed to discuss factors that affect liquidity in Iran banking system. The population of the research includes all active banks and financial institutions in Iran between the years of 2009-2013.The study is in terms of purpose applied, in nature correlational, in analysis method Panel data model and in the type of statistic test regression. Considering the literature, in this study, factors affecting liquidity are classified into four categories: opportunity costs and financing shock, bank characteristics, macro-economic variables, banking characteristics and security of financing network.The results show that last year liquidity, the capital, ratio of interest income, bank size, interest gap, changes in deposit and the ratio of foreign currency deposits to total deposits have significant effects on banks` liquidity. Hence, in order to identify factors affecting future cash, the bank management during their annual operations, is suggested to consider the factors approved in this study for solving liquidity problems accordingly less reference to the central bank or to other banks to finance high-rate be require