Advancements in complexity, complex systems, and the intelligence sciences, particularly smart city technologies, have shown great potential in aiding to ease traffic congestion. The overall approach ...and the main ideas in building smart transportation for smart cities, particularly ACP (artificial system, computational experiment, and parallel execution)-based parallel transportation management and control systems (PTMS), are presented. PTMS can be expanded to the new generation of intelligent transportation systems. The main components of the proposed architecture include social signal and social traffic, ITS clouds and services, agent-based traffic control, and transportation knowledge automation. Some technical details of these components are discussed. Finally, one case study is introduced, and the effectiveness is analyzed.
Management and Modeling of a Hybrid Electric Vehicle Ksentini, Abdelhamid; Hadef, Zakaria; Azzag, El-Bahi
The scientific bulletin of Electrical Engineering Faculty,
12/2022, Letnik:
22, Številka:
2
Journal Article
Recenzirano
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The use of solar electric vehicles (SEV) has recently been the subject of frantic communication by many researchers in this sector such as researcher (GASBAOUI Brahim and F. Burling). In this ...research, we focused on adopting other renewable energy sources, such as wind energy, to convert this energy into kinetic energy for the vehicle (EVWTG electric vehicle). The main aim of this research is to adopt the principle of a wind turbine generator in order to power an electric vehicle (EV), which relies on energy of the air currents on the surface of the vehicle and converts them into electrical energy to feed the electric motor simultaneously or storage by batteries. This system has several draw backs such as continuous energy production and controlling the speed of the wind turbine. For this, we developed a technique to ensure the production of electrical energy and its management according to the proposed system energy management technology. The operation model of the proposed EVWTG system was simulated using MATLAB, where the results obtained proved the effectiveness of the proposed control and energy management, which can be used in other practical studies in the future.
The use of Space Division Multiplexing (SDM) technology in Elastic Optical Networks (EONs) is a promising solution to improve the transport capability and flexibility required by next-generation ...applications. In this work, we have illustrated that Ant Colony Optimization (ACO) algorithms can be incorporated into the network control plane and associated with a crankback mechanism to provision and restore lightpaths in a fully distributed manner. In effect, by tackling the challenging Routing, Modulation, Spectrum, and Space Assignment (RMSSA) problem, ACO algorithms can address the inter-core crosstalk and spectrum fragmentation that may limit the potential of the SDM-EON. By comparing different levels of resource state accuracy at the control plane, the simulation results demonstrate the superior performance of the ACO algorithms compared to routing algorithms based on a centralized control plane with a link-state routing protocol, showcasing lower bandwidth blocking rate, comparable restorability, controlled crosstalk levels, and higher scalability, all achieved without a significant increase in setup and restoration times.
Abstract
With the rapid development of urban construction, smart city has become an important trend in the future, which is inseparable from the intellectualization of drainage pipe network. At the ...same time, with the increasing frequency of urban flood disasters, the old drainage pipe network system will cause significant economic losses, which requires modern cities to establish intelligent management and control of drainage pipe network. However, the situation of drainage facilities in most cities in China is complex, which requires strengthening modern means such as monitoring, operation management and planning services. Therefore, the research on intelligent management and control system of drainage pipe network based on big data technology is of great significance. Firstly, this paper analyzes the importance of intelligent management and control system. Then, this paper puts forward the main algorithms for big data processing. Finally, this paper constructs the intelligent management and control system of drainage pipe network.
The rapid pace of urbanization has increased the development and land reuse value of China’s closed industrial solid waste landfill (CISWL) sites. In-situ development of land without waste excavation ...has both economic and environmental benefits. Therefore, the present study systematically evaluates the on-site risks of a CISWL site under in-situ development conditions by sampling analysis and process model simulation to predict its long-term evolution. The results demonstrated that 93% of the waste leaching concentration was harmful and 66% of the waste was not suitable for soil directly used for urbanized land after nearly 20 years of leaching and degradation. The groundwater quality had changed from “no possibility of exceeding the standard (short term)” to “only a few harmful substances (Pb) have a very small possibility of exceeding the standard (medium term),” to “both Pb and total cyanide (T-CN) have a high probability of exceeding the standard (later stage).” At the same time, the health risks of the site use process have gradually increased over time. The carcinogenic risk posed by As and the non-carcinogenic risk from T-CN exceeded the acceptable level by 139–267 times and 4.9–17.2 times, respectively. The above results suggest that risk assessment and management strategies of CISWL site development and reuse should focus on long-term risks. For sites with unacceptable long-term risks, acceptable long-term risks can be lowered appropriately by reducing the concentration of toxic substances in leached waste. The present study proposes a calculation framework and method for the corresponding leaching concentration limits.
•Harmful pollutants degrade slowly in closed landfill environment.•Long-term health risks exceed 4.9–267 times the acceptable level for this site.•Long-term risks should be considered when reusing industrial solid waste sites.
The emergence of uncertainty factors will exert a strong influence on the accuracy of workshop scheduling. Digital twin’ technology and planning and scheduling are integrated to form a planning and ...scheduling system based on digital twin, which can effectively use the concept of twin to carry out all-around management and control of the uncertain factors in production activities so that the planning and scheduling scheme in the production process can accurately guide the actual production. Firstly, the system establishes management and control mechanism of planning and scheduling system based on digital twin. Second, it establishes a digital twin model of the planning and scheduling system for the management and control mechanism. Finally, the key technology of the planning and scheduling system is expounded, which mainly includes the perception and collection of total production factor information and the planning and scheduling prediction. In order to verify the validity of the scheme, the planning and scheduling system suited for the enterprise is designed and developed in combination with the frame workshop.
The advent of vehicle-to-everything (V2X) communication technology, as well as driving automation that is happening at a rapid pace, enables the potential for transforming the transportation system. ...The near future will, therefore, bring the coexistence of human-driven vehicles (HVs), connected vehicles (CVs), and connected and automated vehicles (CAVs). Correspondingly, platoon management based on V2X communication is expected to improve traffic capacity and fuel efficiency. However, there is a lack of analysis of the impact of platoon management on heterogeneous traffic combined with CVs. Moreover, V2X communication limitation is usually dismissed in existing studies. To address these limitations, this paper explores the impact of platoon management on the capacity of heterogeneous-traffic environments under different CV and CAV market penetration rates (MPRs) with the fundamental diagram considering V2X communication limitations, and further studies the changes in capacity and fuel efficiency of traffic combined with different platoon sizes. Firstly, in light of platoon management, we propose the heterogeneous traffic configurations through distribution characteristics of nine types with simulated models. Secondly, the fundamental diagram considering platoon management with V2X communication limitation is proposed under different CV and CAV MPRs. Thirdly, numerical simulations are conducted to demonstrate the impact of platoon size on the changes in capacity and fuel efficiency of traffic. Conclusions are drawn from the results of the simulations: with the cooperation of CVs and CAVs, the traffic capacity and the fuel efficiency will be promoted, particularly under high CV MPR or high CAV MPR environments.
The aim of this paper is to approximate the current state of risk management in irregularities and fraud in public sector organizations. Current regulations in the field of financial management and ...control in the public sector in the Federation of Bosnia and Herzegovina define the concepts of irregularities and fraud within the system of internal controls in public sector organizations, the responsibility of management and employees for reports and actions. The paper will present data from official consolidated reports on the functioning of the financial management and control system, which indicate that the management of risks of irregularities and fraud and the implementation of actions to prevent and eliminate irregularities and fraud by users are still insufficiently developed. The possible causes of such a situation will be analyzed, and possible solutions will be considered: elaboration of legal enactments and concretization of individual roles in taking actions against irregularities and fraud.
Nuclear power plant emergency can cause serious damage in a short time, in order to improve the evacuate efficiency of the nuclear power plant planning restricted area. An emergency evacuation ...organization strategy of nuclear power plant planning restricted area is established. Which is implemented by establishing an multi-objective integrated optimization model based on bus evacuation for nuclear power plant emergency. Firstly, based on the theory of minimum cost flow, a three-layer objective optimization model was established with the shortest total travel time of all evacuation buses as the primary objective, the shortest total evacuation distance of all evacuation buses as the secondary objective, the reliability of travel time as the third objective, and the constraint conditions of flow conservation, setting reversible lanes and eliminating intersection conflict points. Secondly, the route selection model based on adaptive ant colony algorithm is improved, and the travel time is combined with road saturation and attraction factor can prevent congestion drift phenomenon and improve the prediction accuracy of road network state. The optimal solution set of the model is obtained by using the improved algorithm through case verification. Finally, the strategy is validated by obtaining a bus evacuation organization scheme for a coastal nuclear power plant in China. The results show that through the application of the strategy, the LRP（location routing problems） solution are obtained, and the feasibility of the model and algorithm is verified．
•The purpose of this research is to use artificial intelligence (AI) robotics technology for the intelligent analysis and administration of mesoscale urban design family trees.•The first step was an ...examination of the meso‑city's evolutionary lineage; this revealed important details about the designs that came before. After that, we intelligently build the urban management and control system from several angles, we study the robot's characteristics, and we introduce the intelligent robot's potential role in shaping our built environment.•Then, an Analytic Hierarchy Process (AHP) was presented to evaluate the application effect of robots technology in meso‑scale cities, and four developing meso‑scale cities in a province were chosen as the evaluation objects.•The outcomes demonstrated that the robot achieved an acceptable level of performance in both urban traffic planning (over 70 points) and urban architecture design (over 65 points).•After considering these factors, the total score was 489, with an overall average of 36. Both the aggregate and mean scores were satisfactory.•This demonstrated the viability of using robot technology for pedigree analysis, as well as intelligent management and control, of urban planning at the meso‑scale.
Since the 21st century, China has been vigorously developing urban construction, and now the rise of artificial intelligence (AI) has brought new opportunities for urban design and management. Meso-scale cities are the most developed cities in China and play an important role in economic and social development. The current robot technology is mainly divided into industrial robots and service robots, which can play an important role in the development of cities. This paper aims to apply AI robotics technology to the analysis and intelligent management of mesoscale urban design genealogy. Firstly, the development pedigree of the mesoscale city was analyzed, from which the characteristics of previous designs could be clearly understood. Then, the urban management and control system is intelligently designed from many aspects, the characteristics of the robot are analyzed, and the application of the intelligent robot in urban design is introduced. After that, four developing meso‑scale cities in a province were selected as the evaluation objects, and an Analytic Hierarchy Process (AHP) was proposed to evaluate the application effect of robotics technology in meso‑scale cities. The results showed that the overall score of the robot in urban traffic design was greater than 70 points, and the overall score of urban architectural design was greater than 65 points, which was in the acceptable range. In the application score of urban environment design, the influence was about 70 to 80 points, and the aesthetics was more than 75 points. The cultural aspect of the design impact score was no more than 75 points, while the cultural support aspect score was around 80 points. After the weight calculation, the final overall score was 489 points, and the comprehensive average score was 36 points. The overall composite score and average score were both good. This showed that the application of robot technology to the pedigree analysis and intelligent management and control of mesoscale urban design could achieve good results.
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