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.
Geostatistical methods are utilized to analyze and predict values associated with spatial or spatiotemporal phenomena. These techniques incorporate both the spatial and, in some cases, temporal ...coordinates of the data. The mining industry prefers these methods for ore reserve estimation, and they have also gained popularity in other specialized fields. Notably, the transportation industry is gradually adopting them to estimate annual average daily traffic (AADT). Although researchers use various predictive techniques to estimate AADT, many of them are experiential or based on simple subjective assessments, especially for low-volume roadways. The shortcomings of these assessment techniques include high margins of error, non-integrated spatial and temporal variability in the datasets, and inadequate consideration of total coverage. Geostatistical techniques are superior predictive tools in many fields because their algorithms account for these limitations. Moreover, geostatistical methods can predict data at both sampled and unsampled locations with minimal available data. Therefore, the crucial question arises as to which method best estimates AADT. This paper focuses on investigating linear univariate geostatistical methods, namely empirical Bayesian Kriging (EBK), ordinary Kriging (OK), simple Kriging (SK), and universal Kriging (UK), along with proportional valuations, to estimate AADT on low-volume roadways and provides a recommendation based on the findings. The study utilizes AADT data from 1,486 and 2,731 locations on low-volume roads throughout Minnesota in 2009 and 2016, respectively. The results obtained from this investigation hold significant systematic and practical implications for estimating AADT on low-volume roads and can be adapted for high-volume roadways as well.
Technological advances with connected and autonomous vehicles (CAVs) have opened opportunities to increase the efficiency of transportation networks. A novel control framework called combined ...flexible lane assignment and reservation-based intersection control (CFLARIC) system has been recently proposed for better management of directionally unrestricted CAVs traffic flows in an urban environment. CFLARIC offers a full spectrum of lane assignment possibilities in combination with the appropriate reservation-based intersection control. In CFLARIC, vehicles position themselves in a proper lane before they reach the downstream intersection, which enables resolution of vehicular conflicts both between intersections and within the intersection boxes. Although CFLARIC has shown promising results, only a limited number of lane assignment scenarios have been designed and tested using some preset rules and based on the previous research objectives. Therefore, the optimality of their performance has never been studied. The objective of this study is to address the flexible traffic lane assignment in such a system as a network optimization problem, in which an optimal lane assignment schema is achieved using metaheuristic optimization algorithms. To this end, a combination of NetLogo and the BehaviorSearch tool is utilized for the simulation modeling and optimization process using random search and brute-force as the search algorithms. The output of the optimization process is the lane assignment that leads to a minimum total travel time for a given network geometry and traffic volumes. Results indicate that a flexible control concept such as optimized CFLARIC has great potential to improve the efficiency of traffic control strategies with CAVs.
A scheme for conflict resolution with trajectory recovery is proposed to solve the problem of multi-aircraft flight conflict. First, the conflict resolution problem is modeled as an optimal control ...problem. The weighted sum of the speed change and the heading angle change is defined as the objective function. The limitations of distance, aircraft performance, and route width are taken as constraints. Second, the optimization problem is resolved by mixed integer nonlinear programming. Conflict resolution with trajectory recovery is then achieved by speed and heading angle changing three times based on the optimal solution; whether the speed and heading angle need to be changed depends on the corresponding weight coefficients in the objective function. Finally, the applicability and superiority of the designed conflict resolution scheme are verified, which is of great significance to the application of conflict resolution with trajectory recovery schemes in automated air traffic control systems.
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