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- 摘要
- 关键词
- 实验方案
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[IEEE 2019 21st International Middle East Power Systems Conference (MEPCON) - Cairo, Egypt (2019.12.17-2019.12.19)] 2019 21st International Middle East Power Systems Conference (MEPCON) - Performance of a Single-Stage Buck-Boost Inverter Fed from a Photovoltaic Source Under Different Meteorological Conditions
摘要： Autonomous vehicle traf?c information systems are an important research direction for next-generation traf?c information systems. Existing centralized traf?c information systems involve a large initial investment and high operating costs. Furthermore, they suffer from the following problems: the need to communicate large amounts of data, requiring a longer time for road network coverage, unsteady transmission, and the need for an automatic generation and update method for road network congestion information in a large-scale urban road network. To overcome these problems, this paper proposes an intelligent vehicular traf?c information system (IVTIS) based on a vehicular ad hoc network (VANET). This system employs a local road network and rapid dissemination model (IVTIS-LNFRN) of congestion information based on link nodes for a large-scale urban road network, and it constructs the corresponding system models. We then use traf?c simulation software to evaluate the feasibility of the IVTIS. In particular, we investigate the collection, diffusion, and dissemination of congestion information and the automatic generation and update effect of road network congestion information. Furthermore, we analyze the dissemination effect of different traf?c in?ow volumes, information packet loss rates, and different rates of IVTIS vehicles. The simulation results show that the proposed system has good autonomy and overall performance in terms of the real-time collection and rapid dissemination of congestion information in a large-scale urban road network.
关键词： intelligent transportation system (ITS),Ad hoc,traf?c information systems,traf?c information,intelligent vehicle systems & telematics
更新于2025-09-19 17:13:59
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Flexible Iridium Oxide based pH sensor Integrated with Inductively Coupled Wireless Transmission System for Wearable Applications
摘要： Autonomous vehicle traffic information systems are an important research direction for next-generation traffic information systems. Existing centralized traffic information systems involve a large initial investment and high operating costs. Furthermore, they suffer from the following problems: the need to communicate large amounts of data, requiring a longer time for road network coverage, unsteady transmission, and the need for an automatic generation and update method for road network congestion information in a large-scale urban road network. To overcome these problems, this paper proposes an intelligent vehicular traffic information system (IVTIS) based on a vehicular ad hoc network (VANET). This system employs a local road network and rapid dissemination model (IVTIS-LNFRN) of congestion information based on link nodes for a large-scale urban road network, and it constructs the corresponding system models. We then use traffic simulation software to evaluate the feasibility of the IVTIS. In particular, we investigate the collection, diffusion, and dissemination of congestion information and the automatic generation and update effect of road network congestion information. Furthermore, we analyze the dissemination effect of different traffic inflow volumes, information packet loss rates, and different rates of IVTIS vehicles. The simulation results show that the proposed system has good autonomy and overall performance in terms of the real-time collection and rapid dissemination of congestion information in a large-scale urban road network.
关键词： traffic information,Ad hoc,intelligent vehicle systems & telematics,intelligent transportation system (ITS),traffic information systems
更新于2025-09-19 17:13:59
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Image-Based Visibility Estimation Algorithm for Intelligent Transportation Systems
摘要： Posted road speed limits contribute to the safety of driving, yet when certain driving conditions occur, such as fog or severe darkness, they become less meaningful to the drivers. To overcome this limitation, there is a need for adaptive speed limits system to improve road safety under varying driving conditions. In that vein, a visibility range estimation algorithm for real-time adaptive speed limits control in intelligent transportation systems is proposed in this paper. The information required to specify the speed limit is captured via a road side unit that collects environmental data and captures road images, which are then analyzed locally or on the cloud. The proposed analysis is performed using two image processing algorithms, namely, the improved dark channel prior (DCP) and weighted image entropy (WIE), and the support vector machine (SVM) classi?er is used to produce a visibility indicator in real-time. Results obtained from the analysis of various parts of highways in Canada, provided by the Ministry of Transportation of Ontario (MTO), show that the proposed technique can generate credible visibility indicators to motorists. The analytical results corroborated by extensive ?eld measurements con?rmed the advantage of the proposed system when compared to other visibility estimation methods such as the conventional DCP and WIE, where the proposed system results exhibit about 25% accuracy enhancement over the other considered techniques. Moreover, the proposed DCP is about 26% faster than the conventional DCP. The obtained promising results potentiate the integration of the proposed technique in real-life scenarios.
关键词： image processing,dark channel prior,intelligent transportation system,SVM,Visibility,smart cities,entropy,machine learning
更新于2025-09-11 14:15:04
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Tracking And Counting The Vehicles In Night Scenes
摘要： The main objective of traffic surveillance system is to reduce the risk caused by accident. Many papers published were concerned only about the vehicle detection during daytime. But we proposed a method to detect the vehicle during night time. The main objective of our paper is to count the vehicles in night time traffic scenes. It consists of three phases, they are vehicle’s headlight segmentation, tracking and pairing. We know that in night time, only visible thing will be the headlight of the vehicle therefore we are counting the vehicle based on the headlight information. Initially the headlights of a vehicle is segmented based on the analysis of headlight size, location and area. Then tracked via a tracking procedure designed to detect vehicle and then headlights are paired using the connected component labeling. Based on the pairing result we can count the vehicles. Here we are using fuzzy hybrid information inference mechanism for error compensation. Here by using fuzzy logic we can generate the rules based on the size, color and position. In particular we are generating the rules based on the distance between the headlights of a vehicle.Thereby we can improve the accuracy while counting the vehicle.
关键词： Headlight pairing,bidirectional algorithm,headlight tracking,intelligent transportation system
更新于2025-09-10 09:29:36
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A Smart Sensor Data Transmission Technique for Logistics and Intelligent Transportation Systems
摘要： When it comes to Internet of Things systems that include both a logistics system and an intelligent transportation system, a smart sensor is one of the key elements to collect useful information whenever and wherever necessary. This study proposes the Smart Sensor Node Group Management Medium Access Control Scheme designed to group smart sensor devices and collect data from them efficiently. The proposed scheme performs grouping of portable sensor devices connected to a system depending on the distance from the sink node and transmits data by setting different buffer thresholds to each group. This method reduces energy consumption of sensor devices located near the sink node and enhances the IoT system’s general energy efficiency. When a sensor device is moved and, thus, becomes unable to transmit data, it is allocated to a new group so that it can continue transmitting data to the sink node.
关键词： Internet of Things,intelligent transportation system,Group Management MAC,energy efficiency,smart sensor network,logistics,data transmission
更新于2025-09-09 09:28:46