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Electronic toll collection (ETC) has been widely spread in China, providing efficient, comfortable, and convenient toll services. However, the nature of centralization of those ETC systems has incurred serious security threatens. Given blockchain's features of self-trust, decentralized architecture, and traceability, we propose a decentralized ETC architecture based on blockchain technology. After implementing our architecture in a test network, we verify its feasibility. A thorough discussion indicates that our architecture can effectively operate normal ETC services while avoiding most attacks that threaten traditional ETC systems. The proposed architecture provides a brand new way of conventional ETC system optimization., Author(s): Shize Huang [1]; Lingyu Yang [2]; Xiaolu Yang (corresponding author) [3]; Xinghua Li [2]; Fei Gao [4] 1. Introduction Electronic toll collection (ETC) has been widely used for its [...]

Estimating the number of pedestrians based upon surveillance videos and images has been a critical task while implementing intelligent signal controls at intersections. However, this has been a difficult task considering the pedestrian waiting area is an outdoor scenario with complex and time-varying surrounding environment. In this study, a method for estimating pedestrian counts based on multisource video data has been proposed. First, the partial least squares regression (PLSR) model is developed to estimate the number of pedestrians from single-source video (either visible light video or infrared video). Meanwhile, the temporal feature of the scenario (daytime or nighttime) is identified based on visible light video. According to the recognized time periods, pedestrian count detection results from the visible light and infrared video data can be obtained with preset corresponding confidence levels. The empirical experiments showed that this fusion method based on environment perception holds the benefits of 24-hour monitoring for outdoor scenarios at the pedestrian waiting area and substantially improved accuracy of pedestrian counting., 1. Introduction Estimating the number of pedestrians is critical within the intelligent transportation system. The pedestrian counts have been a vital input for intersection signal control [1], the guidance of [...]

The pantograph-catenary system, which ensures the transmission of electrical energy, is a critical component of a high- speed electric multiple unit (EMU) train. The pantograph-catenary arc directly affects the power supply quality. The Chinese Railway High-speed (CRH) is equipped with a 6C system to obtain pantograph videos. However, it is difficult to automatically identify the arc image information from the vast amount of videos. This paper proposes an effective approach with which pantograph video can be separated into continuous frame-by-frame images. Because of the interference from the complex operating environment, it is unreasonable to directly use the arc parameters to detect the arc. An environmental segmentation algorithm is developed to eliminate the interference. Time series in the same environment is analyzed via cluster analysis technique (CAT) to find the abnormal points and simplified arc model to find arc events accurately. The proposed approach is tested with real pantograph video and performs well., 1. Introduction In high-speed electric multiple unit trains, the pantograph-catenary system is one of the critical components in the transmission of electric energy to the train. Any problem that occurs [...]

Turnout is one key fundamental infrastructure in the railway signal system, which has great influence on the safety of railway systems. Currently, turnout fault diagnoses are conducted manually in China; engineers are obliged to observe the signals and make problem solving decisions. Thus, the accuracies of fault diagnoses totally depend on the engineers' experience although massive data are produced in real time by the turnout microcomputer-based monitoring systems. This paper aims to develop an intelligent diagnosis method for railway turnout through Dynamic Time Warping (DTW). We firstly extract the features of normal turnout operation current curve and normalize the collected turnout current curves. Then, five typical fault reference curves are ascertained through the microcomputer-based monitoring system, and DTW is used to identify the turnout current curve fault through test data. The analysis results based on the similarity data indicate that the analyzed five turnout fault types can be diagnosed automatically with 100% accuracy. Finally, the benefits of the proposed method and future research directions were discussed., 1. Introduction Recently, the railway system has experienced rapid development all over the world [1] with both the freight and passenger traffic demands increasing. According to a report from the [...]