bluuebunny/crossref_metadata_2025 huggingface dataset:
Fuzzy Logic-Based Energy Management in Smart Grids for Renewable Integration
Authors: Sharma Gazal , Raju V. Vijayarama , Dhall Himanshu , Sudan Prerak , Reddy B. , Alpackaya Irina
Published: April 2024

This study presents a novel Fuzzy Logic-Based Energy Management model that aims to optimize the incorporation of renewable energy sources into smart grids. The research used simulated data to evaluate the model’s performance in important metrics, revealing significant improvements in the consumption of renewable energy, stability of the grid, dependability of energy storage, and overall efficiency of the system. The Fuzzy Logic Controller adjusts energy distribution in response to current inputs, leading to a significant 20% improvement in the usage of renewable energy. The capacity to adapt is crucial in dealing with the inherent fluctuation of solar, wind, and biomass sources. The approach greatly improves grid stability, as shown by a 15% decrease in grid frequency variations, highlighting its efficacy in assuring a more regulated and steady electricity supply. Furthermore, the dependability of energy storage systems exhibits a notable 25% enhancement in the state of charge, suggesting optimal cycles of charging and discharging. This increased dependability enhances the stability of the energy supply during times of high demand and variations in the power system. The Fuzzy Logic-Based Energy Management model exhibits a significant 22% improvement in total system efficiency when compared to conventional management systems. This indicator encompasses the model’s combined effect on the usage of renewable energy, the stability of the power grid, and the optimization of energy storage. Comparative analyses conducted against traditional control strategies, such as proportional-integralderivative controllers, consistently demonstrate the superiority of the fuzzy logic approach. This approach results in a 10% decrease in grid frequency deviations, a 15% enhancement in energy storage state of charge, and a 12% boost in overall system efficiency. The resilience of the Fuzzy Logic Controller is highlighted by sensitivity analysis, since it demonstrates consistent performance even when parameters vary significantly. The model’s practical usefulness and adherence to ethical principles are further confirmed by validation using real-world data from operational smart grid installations. This study provides valuable insights, establishing the Fuzzy Logic-Based Energy Management model as an innovative method for addressing the difficulties associated with integrating renewable energy into smart grids. This model promotes a more sustainable and efficient energy environment for the future.
Green Synthesis of Nanocomposite Membranes for Sustainable Water Filtration
Authors: Modi Sanjay , Balmiki Vinod , Kaushik Vaibhav , Mohan Chandra , Kumar Ravi , Ravikanth P. , Dayawati
Published: April 2024

In order to tackle the worldwide problems of water pollution and shortage, this work explores the green synthesis of nanocomposite membranes for sustainable water filtering. Graphene oxide, cellulose nanocrystals, and silver nanoparticles were used as nanofillers in the fabrication of nanocomposite membranes, which were made using renewable polymer matrix (PES, PVDF, PAN). By including different polymer matrices and nanofillers, the composition analysis demonstrated the adaptability of nanocomposite membrane manufacturing, enabling the customization of membrane characteristics. Improved membrane shape and structural integrity were shown to result from the homogeneous dispersion of nanofillers inside the polymer matrix, according to characterization tests. Nanocomposite membranes demonstrated high flux rates and rejection rates for different pollutants, confirming their excellent performance in filtration experiments. The membranes’ improved fouling resistance also increased their service life and decreased the frequency of maintenance needs. Supporting the eco-friendliness of nanocomposite membrane production, an environmental impact evaluation found that it used less energy and generated less trash than traditional techniques. All things considered, nanocomposite membranes have shown great promise as long-term water treatment solutions due to their superior performance, durability, and environmental friendliness, as well as their effective production and characterisation. More study is needed to perfect membrane characteristics and solve the remaining problems that prevent their broad use in water treatment systems.
Smart Nanomaterial for Environmental Remediation towards Sustainable Solutions for Water and Soil Pollution
Authors: Kumar Deepak , Singh Rahul , Upadhyay Viyat Varun , Raturi Anuj , Saraswat Manish , Khan Akhilesh Kumar , Mohan Chandra
Published: April 2024

This research explores the transformative potential of nanomaterial developments in tending to water and soil contamination through economical natural remediation procedures. Three unmistakable nanomaterials, Nanoparticle A, Nanocomposite B, and Nanotube C, were synthesized and efficiently assessed for their adequacy in poison expulsion. In adsorption tests, Nanocomposite B showed remarkable lead expulsion capacity, outperforming Nanoparticle A and Nanotube C with values of 30 mg/g. Catalytic debasement tests illustrated Nanocomposite B’s predominant proficiency in corrupting phenol, accomplishing a noteworthy 68%, outflanking Nanotube C and Nanoparticle A. A comprehensive natural compatibility appraisal uncovered decreased ecotoxicity and cytotoxicity files for Nanocomposite B, situating it as a naturally inviting choice for remediation. Comparative investigations with related works exhibit the importance of fitting nanomaterial properties focused on poison expulsion. The promising results emphasize Nanocomposite B’s potential as a maintainable and multifunctional arrangement for water and soil remediation. This investigation contributes profitable insights to the developing field of nanotechnology-enabled natural administration, emphasizing the requirement for the capable sending of nanomaterials to attain long-term environmental and human well-being benefits.
Research on the Application of Architectural Decoration Materials in Interior Design
Authors: Sheng Fan
Published: April 2024

As an important part of the interior design, the architectural decoration materials can effectively improve the effect of the interior design, and make the interior design to meet people’s aesthetic needs. Based on this, the study analyzes the application of architectural decorative materials in interior design. Firstly, the paper introduces the common types of architectural decorative materials, such as metal materials, non-metallic materials, composite materials, etc. Secondly, analyzes the artistic attributes and characteristics of decorative materials; finally, analyzes the specific application of architectural decorative materials in interior design.
Research on Integrated Art Design of Building Exterior Finishing with Photovoltaic Application Technology
Authors: Cao Maoqing , Li Riqiang , Wang Zijun
Published: April 2024

This study is based on the cold regions of China, namely severe and cold regions. By fully utilizing photovoltaic technology, local green energy can be reasonably utilized, and feasible reference can be provided for architectural design in cold regions of China. Based on the “dual carbon” goal, the application of photovoltaic technology in building skins is discussed. Through the research of this project, it is possible to clarify ways to reduce carbon emissions and promote local green and sustainable development. Examples were provided to illustrate the main manifestations of photovoltaic building integration. Through the specific application and analysis of photovoltaic housing projects, photovoltaic curtain walls, photovoltaic components, and photovoltaic materials in the skin system, it is explained that photovoltaic materials can play an important role in participating in the shaping of building form and space. The key to the integration of photovoltaic building technology is to find the best balance between energy, comfort, indoor lighting environment, economy, and design aesthetics.
The Application of Big Data Analysis in Elderly Oriented Renovation Space Design
Authors: Wang Chunxia
Published: April 2024

In order to understand the application of big data analysis in the design of elderly-oriented renovation spaces, an application study of big data analysis in the design of elderly-oriented renovation spaces has been proposed. The rapid development of the economy has led to the prosperity and spatial expansion of cities. At the same time, social issues such as land scarcity, traffic congestion, environmental pollution, and the uneven allocation of urban spatial resources have led to social polarization, marginalization of the interests of vulnerable groups, and seriously affected the physical and mental health of residents. With the intensification of the aging trend of the world population, aging has become a major global strategic issue. How to create a truly suitable spatial environment for elderly living has become a question worth considering. This article uses methods such as questionnaire surveys and in-depth interviews to obtain a large amount of data, analyze the current situation of the living space of the elderly in Changchun City, the physiological and psychological needs, activity characteristics, social interaction characteristics, etc. of the elderly group, and then propose suggestions for the planning and design of the living space of healthy urban elderly.
Research on the Spatiotemporal Characteristics of Block Vitality based on LBS Data and the Impact Mechanisms of the Built Environment -Taking the Third Ring Road in Fuzhou City as an example
Authors: You Yaqing , Xiao Guirong
Published: April 2024

Using location-based services (LBS) data from the third ring area in Fuzhou city, this study analyzes the spatiotemporal characteristics of block vitality by measuring the density of active population gatherings. It explores the spatiotemporal heterogeneity of block vitality based on a geographically and temporally weighted autoregressive model (GTWAR), considering built environment features such as POI density, functional mix, and road network density. Additionally, it investigates their interactions using a geographic detector and compares differences between weekdays and weekends across five daily periods. Key findings include:(1) The overall urban vitality in the region exhibits a spatial pattern of “one core, two centers, multiple sub-centers, and multiple clusters” and undergoes spatiotemporal dynamic changes across five periods, characterized by ‘dispersion, agglomeration, deep agglomeration, and dispersion.” (2) The marginal effects of POI density, functional mix, and road network density on block vitality exhibit instability in both spatial and temporal dimensions.(3)Interaction effects between two factors exert a more significant impact on block vitality than the effects of individual factors, with interaction types including dual-factor enhancement and nonlinear enhancement.(4)Differences exist in the spatiotemporal characteristics of block vitality, built environment influences, and their interactions between weekdays and weekends.
Unmanned Aerial Vehicle Based Power Pole Localization Using Image Stitching
Authors: Zhang Zhao , Guo Hongwu , He Yongxiang , Liu Jianbin , Peng Xuefeng , Yan Lin , He Jiaxing , Li Xuanying , Gao Yi
Published: April 2024

When facing natural disasters, power transmission and distribution towers are prone to tilting, collapsing, and other situations, which can easily lead to line faults and subsequently cause power outage incidents. In order to quickly and accurately locate abnormal towers and restore power supply promptly, the power maintenance department typically employs unmanned aerial vehicles (UAVs) for post-disaster inspections of power line towers. Traditional methods for UAV ground target localization mainly rely on the UAV’s own position, attitude, and onboard sensor information to indirectly calculate the target’s position. This method is influenced by the Global Positioning System (GPS) and Inertial Navigation System (INS), relying on high-precision sensors. To achieve precise positioning of power line towers with simplified equipment on UAVs, this paper proposes a visual passive localization method based on ground control points. Addressing the sparse distribution of ground control points, a solution based on image stitching is introduced to overcome difficulties in localization caused by insufficient ground control points.
Resilient cities governance when encountering external turbulence in the Greater Bay Area of China: An ESG perspective
Authors: Xu Yan , Zhao Zhongren
Published: April 2024

Since the 2020’s, a series of crises, ranging from public health issues to economic recession, countries around the world have been trying to assess the impact on the social environment, and countries and regions have also actively formulated and enacted plans and policies to improve urban governance and urban regulation after the crises. How such public health, economic, and social emergencies can evoke urban resilience and self-healing capacity after urban destruction. Based on the ESG concept, this essay establishes a new model of resilient urban development, including reconstructing the model of sustainable urban development from the aspects of energy, land, education, health, digital economy and finance, to cope with the devastation resulting from emergencies. This model will also redefine a theoretical resilience framework that can be in accordance with ESG principles, offering future researchers a new perspective to assess the vulnerability and recovery capacity of a specific city.
An Analysis of Protection and Renewal Strategies for Ancient Villages in Dongguan: The Case of Tangwei Ancient Town, Dongguan City, Guangdong Province, China
Authors: Li Le , Che Yixuan
Published: April 2024

Traditional villages carry important memories of the development of China’s farming civilization and are an important part of our cultural heritage. Traditional villages have a profound historical and cultural heritage, and they are both an important carrier of regional culture and a necessary component of regional coordination. Research on the protection and renewal strategy of traditional villages is not only a key area of China’s cultural heritage research, but also an important part of exploring the organic integration of cultural heritage protection and urban-rural development. Under the policy background of centralized and contiguous protection of traditional villages, in view of the realistic environment of revitalization of traditional ancient villages, based on the theory of regeneration and development, the study explores the logical relationship between the protection and development of Dongguan’s traditional villages, puts forward the strategy of protection and regeneration of the ancient villages, and discusses the experience and problems of the practice of the protection and development of the villages, taking the Tangwei Ancient Town of Dongguan City, Guangdong Province as an example. This study has important theoretical and practical significance for the protection and development of Dongguan’s traditional ancient villages, and can provide reference for relevant decision-making and planning.
Stability Analysis of Slope in Lijiagou Village, Xingtai County, and Design of Support scheme
Authors: Zhang Zhifei , Gao Minghui , Wang Xinyou , Yan Guoqin , Li Yulong , Cui Yang , Wang Qizhi
Published: April 2024

The typical part of the slope was modeled and calculated using Midas-GTS finite element analysis software based on the landslide control project in Lijiagou Village, Xingtai County. According to the results, the horizontal displacement, effective plastic zone, and safety factor of the slope under natural and rainfall conditions were analyzed respectively, to master the potential sliding surface of the landslide. Carry on the support scheme design and carry on the feasibility analysis evaluation, and finally, select the optimal scheme according to the governance effect. The findings demonstrate that the current plan can successfully increase the side support plan’s design slope stability and serve as a model for projects of a similar nature.
Research on Energy Consumption Monitoring and Evaluation Technology for Asphalt Mixing Plants Based on the Internet of Things
Authors: Wang Jihai , Hu Zhenhu , Fu Jiancun , Yang Fei , Li Mingzhu , Liu fangtao
Published: April 2024

The construction process of asphalt pavement in highway construction projects is a key link in energy consumption and emissions, and the production of asphalt mixing stations is the main energy consumption link of asphalt pavement. Currently, targeted energy consumption evaluation and monitoring of asphalt mixing stations still lack systematic research. This article first determines the evaluation indicators for energy conservation and emission reduction of asphalt pavement. By decomposing the energy consumption composition of the asphalt mixing station, a energy consumption evaluation system for the asphalt mixing station consisting of three parts: heating drum, asphalt heating and insulation system, and power system is established. After calculation, the predicted natural gas conversion rates for each ton of SMA-13 asphalt mixture in the upper layer, AC-20 asphalt mixture in the middle layer, and AC-25 asphalt mixture in the lower layer are 8.07, 7.41, and 6.87 m3, respectively. The predicted results fit well with the measured data. Finally, through the development of hardware and software, the energy consumption evaluation and monitoring of asphalt mixing stations based on the Internet of Things were achieved, which played a promoting role in the environmental protection evaluation of highway pavement construction.
The Construction of Place Meaning of Historic Parks – A Case Study of People’s Park in Guangzhou, China
Authors: Huang Xuan-Xiang
Published: April 2024

Historical parks carry the memories and emotions of local people, and have a historical status and research value that cannot be ignored. This paper introduces the concept of place significance, and based on systematically sorting out related literature, selects Guangzhou People’s Park as the case study, and empirically explores the construction of place significance of it by using the Q method. It is found that the value perception of the place meaning of the People’s Park includes five dimensions: historical display, cultural identity, landscape recreation, physical and mental health, and leisure experience. The study on the perceived value of users of historical parks can provide a reference and some suggestions for historical parks to highlight the city’s image and historical culture as well as to meet the needs of urban leisure life in the context of urban construction.
Evaluation of the Effect of Rural Landscape Design Based on Hierarchical Analysis and Artificial Intelligence Technology
Authors: Zhang Kun , Ning Jing , Gao Qian
Published: April 2024

In order to study rural landscape resources and analyze landscape problems, the effect evaluation method of rural landscape design based on hierarchical analysis method and artificial intelligence technology is proposed. Taking a rural landscape as an example, the evaluation index system of rural landscape design effect is constructed through hierarchical analysis and the index weight is determined. BP neural network based on artificial intelligence technology is used to construct the rural landscape design effect evaluation model, and the rural landscape design effect is evaluated from three aspects: target layer, project layer and index layer. The results show that this method can effectively evaluate the design effect of rural landscape in the study area, in which the index layer is between 0.4 and 0.64, the comprehensive evaluation is excellent, the comprehensive evaluation score of the target layer is 0.60, the design effect is excellent, the bearing capacity and attraction are excellent, indicating that the research area is sufficient; the error trend is stable and the overall relative error is low, indicating that the method has high accuracy and ideal, and lays a foundation for the analysis and evaluation of rural landscape resources.
Research on design evaluation of wooden outdoor seating system
Authors: Aobing Yuan , Xiong Winni , Yao He
Published: April 2024

[Objective] Although there are many kinds of materials for outdoor seating, there are also limitations. People prefer natural wood materials which are warm in winter and cool in summer. From the perspective of sustainable development, wood substitute for natural preservative wood is replaceable, so it has become the main material for outdoor seating. The purpose of this paper is to verify the advantages of wood and wood -like materials in the application of outdoor seating with expert evaluation methods. [Methods] The Del phi expert evaluation method was used to optimize the different schemes of wood and non -wood materials in the empirical study. Based on the three levels of “environment - space - people ”, the evaluation was carried out from multiple perspectives, from the urban ecological environment appeals of the top system of the macro root layer to the extension system of the meso-generative layer of the harmonious space and place system, as well as the micro-representational layer ontology system problems involving the form, function and material technology of outdoor seating. [Result] Finally, based on the quantitative data analysis of Delphi expert evaluation method and standard deviation comparison analysis results, the outdoor seating system design of wood and imitation wood materials was obtained by experts’ preference and affirmation. [Conclusion] T he material selection of outdoor seating can be mainly wood, and the acceptance of imitation wood outdoor seating is similar to wood. When selecting outdoor seating materials, we can gradually introduce composite anticorrosive wood materials to replace non -renewable natural anticorrosive wood.
Research on Public Art Planning in Macao from the Perspective of Urban Cultural Communication
Authors: Hui Zhu , Yao Wu , Grande Candeias António José Estevão , Pelillo Marcello
Published: April 2024

Public art is not only beautifying the urban environment, but also a medium of urban cultural communication. Urban public art in Macao constitutes a beautiful landscape. Still, there are some problems in its planning and construction. According to these problems, combined with the relevant theories of urban cultural communication and the actual situation of Macao, through field research, this paper summarizes several basic characteristics of urban public art in Macao and proposes the planning process of urban public art in Macao.
High Temperature Performance of Rubber-Modified Asphalt Mixtures in Water-Light-Heat Coupled Environment
Authors: Wei Ming , Deng Shenwen , Wei Li , Rong Hongliu , Meng Yongjun
Published: April 2024

Asphalt pavement has been repeatedly subjected to vehicle loads during service. The probability and risk of water damage and asphalt deterioration of asphalt pavements is relatively higher in high temperature and rainy areas such as the Guangxi region of China. In this paper, the changes in rubbermodified asphalt and its mixtures under high temperature, water cycling, and ultraviolet light have been investigated. The coupled water-light-heat effects on asphalt pavements were simulated by developing a freeze-thaw cycle test protocol and a UV environment simulator. The high temperature performance of asphalt and asphalt mixtures before and after aging was compared and statistically analyzed by indoor tests of needle penetration, ductility, softening point, rutting factor and dynamic stability. Under water-light-heat coupling, rubberized asphalt showed a deeper degree of aging, accelerated conversion of asphalt to a highly elastic material, and an increased tendency to reduce flow capacity. The results showed decreasing dynamic stability of rubberized asphalt mixtures with decreasing needle penetration and ductility, increasing softening point, increasing rutting factor and decreasing phase angle. The effect of UV light on asphalt needle penetration was more significant, while the number of freeze-thaw cycles had a more pronounced effect on softening point.
Correlation analysis of highway asphalt pavement distress based on Spearman correlation coefficient
Authors: Tian Yuhe , Tian Jun , Dong Mingshu , Ai Li , Bu Linglai , Sun Renjuan
Published: April 2024

In order to improve the operational life of highway asphalt pavements, reduce urban traffic safety accidents, and improve pavement travelling comfort, this paper analyze the frequency of different highway asphalt pavement distresses and calculates the percentage of each other based on highway asphalt pavement data sets in Shandong. The results showed that the five types of highway asphalt pavement distresses including alligator cracks, longitudinal cracks, transverse cracks, sealed cracks and patches occur with high frequency and account for 96.2% of the total proportion. For revealing the coupling principle between different highway asphalt pavement distress, this paper analyze the correlation between the five types of highway asphalt pavement distresses by Spearman correlation coefficient. The results showed that alligator cracks have a higher positive correlation with transverse cracks and longitudinal cracks and sealed cracks have a negative correlation with transverse cracks. The research findings are helpful to understand the characteristics of pavement distress conditions more clearly and to optimize he level of service of asphalt pavements on urban roads.
Research on the Testing and Evaluation of Active Safety System for Turning Cars in Two wheeler Traffic Scenarios
Authors: Li Qing , Liu Yang , Zhang Shuai , Wang Zhiyu , Zhao Shishu
Published: April 2024

China In-depth Traffic Accident Survey (CIDAS) shows that two wheeler has the highest accident fatality rate, more than 38%, which is far more than cars and pedestrians. In this paper, the characteristics of traffic accidents in China, the types of two wheeler, and traffic characteristics of two wheeler are taken into account. There are typical hazardous scenarios in the case of crossing, longitudinal, turning, mixed, etc. In the existing collision scenarios design of cars and two wheeler, the testing methods of crossing and longitudinal have been basically mature. Therefore, combining with the functional testing of the current automobile active safety system, to recurrent the traffic scenarios of two wheeler objectively, the active safety test and evaluation scenarios of turning cars under the two wheeler traffic scenarios are designed. Test paths, test speeds, and impact position are proposed. it complements the test scenarios for active safety function.
Research on Big Data Traffic Congestion Analysis and Judgement Platform Technology
Authors: Li Xiaowei , Xiong Ting , Yu Mengyan
Published: April 2024

Due to the lack of peak intersection congestion coordination control strategy, at present, most of the points during the peak period of the urban area only fixed cycle control, can not sense the downstream intersection queuing length in time, resulting in the downstream congestion is still normal release, so that part of the vehicle into the intersection queue, in the cross-direction before the release of the intersection can not be timely driven out of the intersection, affecting the cross-release of the vehicle traffic, resulting in intersection blockage. In the platform to introduce the peak intersection congestion coordination control strategy to reduce the length of vehicle queues to ease peak congestion, the platform is mainly responsible for congestion analysis, indicator calculation, traffic research and judgement can be found in the real-time environment of the congestion and the formulation of countermeasures to support the signal control, traffic organisation, police scheduling and so on.
Research on Key Technologies for Intelligent Analysis of Escalator Risk Management in Large Transportation Hub
Authors: Zhang Xupeng
Published: April 2024

Transportation hubs are an important component of urban transportation systems, and their special equipment such as elevators and escalators have characteristics such as high working pressure, high frequency of use, and complex load changes. Once an accident occurs, it will have immeasurable impacts on public life safety and social stability. Building a smart large-scale transportation hub special equipment management system is the cornerstone of “smart city” construction, reducing equipment failure and accident rates, improving operational efficiency and service quality, as well as reducing operating costs and improving the economic benefits of enterprises. This article discusses the risk management of special equipment in transportation hubs from several aspects, including quality control of equipment maintenance and upkeep, investigation and risk assessment of equipment hazards, training on equipment operation safety, improvement and inspection of safety management systems, and emergency response to accidents. A risk governance intelligent analysis model with five levels of description model, judgment model, prediction model, decision model, and value model has been proposed as an indicator to evaluate whether the process of intelligent analysis of special equipment risk governance is “intelligent”.
A study on integrated development approaches for bus stations based on cluster analysis
Authors: Zhen Cao , Hao Feng Jia , Juan Geng , Zhun Tian
Published: April 2024

Integrated development of bus stations is proposed in response to the city’s priority development policy for public transportation. This approach aims to address the challenges of limited station land and increased financial pressure on bus operations by effectively utilizing urban land resources. Therefore, the selection of integrated development methods for bus stations becomes crucial. This study examines the characteristics of 36 bus station sites in Xi’an, considering both their intrinsic features and external environmental attributes. Using diverse data collection methods and analysis techniques, including Python, AcrGIS, and the Gaode Maps Open Platform, the research focuses on four dimensions: Points of Interest (POI), location characteristics, station attributes, and station connectivity features. By identifying 24 key clustering factors through Z-score standardization, Principal Component Analysis (PCA), elbow method, and K-means++ clustering, the 36 bus stations are categorized into five types: residential community development, commercial development, office building development, integrated development, and not recommended for development. These classification results provide guidance for future research on integrated development methods for bus stations.
Research on the evaluation of land use around urban rail stations based on the Transit-Oriented Development (TOD) mode
Authors: Shen Yang , Xu Yongneng
Published: April 2024

The Transit-Oriented Development (TOD) model is suitable for urban land use development, with its main concept being to efficiently develop and utilize the limited urban land resources based on public transportation. In China, as urban public transportation, primarily rail transit, is being developed, there are some issues surrounding the land use around urban rail transit stations. Therefore, this research takes different types of urban rail transit stations as the research objects, conducts differentiated evaluations of the comprehensive benefits of land use around different types of stations, and provides relevant suggestions. This study classifies urban rail transit stations according to land use functions and establishes a three-level comprehensive benefit evaluation index system from four dimensions: land use, transportation system, economic benefits, and environmental benefits. It uses expert scoring, fuzzy analytic hierarchy process, and fuzzy comprehensive evaluation methods to conduct differentiated evaluations of the comprehensive benefits of land use around different types of rail transit stations and provides empirical analysis using a station in Chongqing as an example.
Research on vehicle routing problem of automobile part Milk-Run with time windows constrained
Authors: Yang Jiahui , You Zaijin , Li Wanying , Zhao Yu , Ji Zhe
Published: April 2024

Based on the parts inbound logistics as the research object, this thesis introduces Milk-run of third party logistics enterprise mode. Establish mathematical model under the premise of time window, through genetic algorithm optimize the distribution route, and using MATLAB to simulation, the results show that distribution vehicles reduced from 18 to 6. Transportation costs were reduced by 30.05%. Though the research on the circular pick-up mode of incoming logistics of parts and components, this thesis explores the strategy of optimizing its transportation path. On the one hand, it can solve the contradiction of reducing inventory cost but increasing transportation cost to a certain extent, and effectively reduce the cost of the nodes of the whole supply chain, which has certain theoretical value and significance for the research of vehicle path optimization; On the other hand, a reasonable distribution route can reduce driving distance and alleviate urban traffic pressure, while reducing distribution vehicles can reduce urban noise and automobile exhaust emissions, and contribute to the realization of low-carbon environmental protection.
Study on Key Factors on Ride Comfort of Low-floor Light Rail Transit
Authors: Qiang Feng , Wu Na
Published: April 2024

In order to meet the public’s demand for higher and higher comfort level of low-floor trams, this paper analyzes the influence on comfort level from four aspects: equivalent conicity, hinge arrangement position, suspension parameters and track geometry quality. The results show that track geometry quality plays a decisive role in influencing the comfort of low-floor trams, and the power spectral density of track irregularity has a greater impact on the comfort of vehicles than the standard deviation and peak value. Finally, it is suggested that main line maintenance should be shifted from the current management of standard deviation and peak value to track power spectral density curve management. At the same time, it is suggested that vehicle manufacturer should study the track geometry quality more deeply.
Study on the Sustainable Development Strategy of Container Rail-Water Intermodal Transport in Chinese Ports
Authors: Wang Yisheng , Zhou Ran , Wang Mengyang , Li Xiaojun , Zhu Lequn
Published: April 2024

The sustainable development of container rail-water intermodal transport in China faces a series of deep-seated constraints. In this paper, we quantitatively summarize the development status of container rail-water intermodal transportation in China’s ports. Next, the typical problems faced by the sustainable development of rail-water intermodal transport are analyzed from the bottom constraints and direct constraints. Finally, this paper proposes strategic ideas to promote sustainable development of rail-water intermodal transport, taking into account network layout, technical equipment, data exchange rules, and policy environment.
Research on Highway Maintenance and Management Cost Based on Life Cycle Cost Analysis
Authors: Li Jiarong , Gou Lijuan , Men Feng
Published: April 2024

With the rapid development of China’s highway construction, the huge demand for funds and the lack of financial strength of the contradiction is increasingly obvious, can effectively control the maintenance costs, highway operators to obtain sustainable development advantages of the key factors. This paper measures the highway maintenance and management costs including carbon emission costs based on the perspective of life cycle cost analysis. Based on the perspective of life cycle cost analysis, prediction models are developed for each component cost of highway maintenance and management costs. The carbon emission costs generated during the operation duration of highways are also included in the life-cycle costs, and the calculation model is proposed for the strategy of “30∙60 carbon target” in China. In the example analysis, the carbon emission cost of new energy vehicles is only 3/4 of that of fuel vehicles in the driving phase; more than 90% of the carbon emission is generated by the driving vehicles.
Research on the Hierarchical Demand for Auditory Single-Channel Information Feedback in Night Driving Scenarios
Authors: Lin Shuyun , Zhang Yunwen , Liu Yifan , Liu Kai
Published: April 2024

Based on user surveys, we identified eight universal information feedback demands of drivers in nighttime driving scenarios, along with users’ preference for the output method of feedback signals from the external environment. Utilizing the KJ-AHP method, a model was established for information demands, spanning from the objective layer to the criterion layer. The calculation of weights for each indicator was also conducted. Using auditory single channel as the feedback method, simulated driving experiments were conducted to verify the above results, the differences in subjective and objective data under different feedback frequencies were analysed. The usability test results of the information feedback intelligent design scheme show that the information feedback system for different demand categories can improve the safety and user experience of night driving.
Research on the Evaluation Indicator System for Sustainable Development of Urban Roads Based on the Triple Bottom Line Theory
Authors: Wang Yilin , Huang Lili
Published: April 2024

This study aims to explore the crucial significance of sustainable development in urban roadways, highlighting its key role in promoting economic growth, social equity, and environmental conservation. Drawing on the Triple Bottom Line theory, which encompasses economic, social, and environmental dimensions, the research analyses the impact of urban road planning, design, and management within these areas. A comprehensive set of sustainability assessment indicators for urban roads is developed using analytic hierarchy process, establishing evaluation criteria across the economic, social, and environmental dimensions. This study proposes a sustainable development model for urban roads and verifies the effectiveness of the Triple Bottom Line theory in the field of sustainable urban road development.
Research and Application of UAV Nest Dispatching Management System of the Transmission Line
Authors: Huang Feng , Mai Junjia , Zeng Yihui , Tian Ruixin
Published: April 2024

To address the issues of insufficient research and unsatisfactory replacement effects of unmanned aerial vehicle (UAV) hangar for transmission line inspection, a dispatch management system and method for UAV hangar for transmission line inspection are proposed. Combined with multi-UAV hangar control, patrol route planning, unmanned electromechanical energy supplement, remote accurate take-off and landing and other technologies, remote control and centralized dispatching management of UAV hangar are realized, and a new mode of transmission line intelligent patrol operation of UAV hangar is established. In the application practice of transmission line inspection in Foshan area, this system has achieved intelligent inspection of UAV hangar, greatly improving the quality and efficiency of power grid inspection, and providing strong technical support for enhancing the comprehensive ability of power inspection automation and achieving unmanned transmission line inspection.
Vulnerability Analysis of Bohai Rim Ports in the Context of High-Quality Development
Authors: Liu Cuilian , Zheng Zeyi , Zhang Qiaojun
Published: April 2024

The article scientifically analyzes the connotation of port vulnerability, and based on the principles of exposure-sensitivity-adaptability and the five major theories of high-quality development, constructs a high-quality development perspective port vulnerability evaluation index system. Taking 11 major ports in the Bohai Rim as the research object, firstly, the cloud model was applied to quantify the qualitative indicators, the improved catastrophe series method was used to calculate the vulnerability of each port, and the entropy weight method was introduced to determine the priority of the indicators. Secondly, by comparing and analyzing the results obtained by the entropy weighted fuzzy optimization method, it was found that the evaluation results of the two methods were consistent, thereby confirming the credibility and correctness of this method. The evaluation results show that the overall vulnerability level of major ports in the Bohai Rim region is relatively high, with disaster resistance at a moderate or below level. Huanghua Port has the highest vulnerability, while Qingdao Port has the lowest vulnerability. Finally, the key vulnerability factors of each port are analyzed, and corresponding countermeasures are proposed to provide reference for the risk management of ports.
Evaluation of agricultural product supply chain efficiency in Sichuan Province
Authors: Chen Changjie , Li Shi , Zhang Shijie
Published: April 2024

To improve the efficiency and benefits of the agricultural product supply chain while ensuring its smooth operation and sustainable development, we have established a performance evaluation index system for the agricultural product supply chain in the context of building an agricultural powerhouse. The evaluation model combines principal component analysis, data envelopment analysis, and ideal solution methods, forming a PCA-DEA-TOPSIS three-stage integrated model. In this paper, taking Sichuan Province as an example, we assess the agricultural product supply chain performance of 21 cities (prefectures) in the province and propose several improvement strategies.
Willingness to pay for autonomous vehicles in China based on SEM-Logit model
Authors: Sheng Xiao-lu , Han Xiao , Jia Bin
Published: April 2024

Autonomous vehicles (AVs) are expected to be a new way of traveling in the future. The future popularity of AVs has a lot to do with people’s attitudes towards them. This study aims to investigate people’s willingness to pay for AVs, providing practical insights into the value of AVs in the market. Through the analysis of 1,543 questionnaires collects in China, we finds that the willingness to pay for AVs is significantly affected by psychological factors (perceived benefit, perceived safety and trust), demographic determinants (e.g., gender, age, education, income and daily travel time) and road conditions (bike lane). People who are male, younger, more educated and have higher-income are more willing to spend more money on AVs. Our study could provide recommendations for AV developers and policymakers to further promote AVs.
Research on testing method of unmanned delivery vehicle based on typical scenarios
Authors: Zhang Miao , Sun Hang , Hua Yiding , Zhang Linlin , Wu Jiajie
Published: April 2024

Unmanned delivery has been developed rapidly worldwide in recent years. In China, A number of enterprises have carried out fixed-point trial operation for closed parks, tourist attractions and other areas. It is necessary to study and propose a test method for testing the basic performance and safety design of unmanned delivery vehicles. Scenario-based testing method is more efficient than mileage testing. Based on the typical scenarios faced by the unmanned vehicle in the process of driving, this paper studies and proposes eight specific test scenarios for the unmanned delivery vehicle test, and puts forward the criteria for passing the test. This research can help improve the safety of unmanned delivery vehicles in the design and development process.
Rapid visual detection method of highway pavement sag based on improved Yolov7-tiny
Authors: Wang Yunshan
Published: April 2024

Different weather and light conditions will affect the detection of pavement sag. And the camera field of view is limited, can not fully cover the entire highway road surface, resulting in higher difficulty in road sag detection. Therefore, a rapid visual detection method for highway pavement sag based on improved Yolov7-tiny is proposed. The structure elements are determined, and the small noise points in the image are removed by etching operation, and the morphology of the highway surface is completed. Input the processed highway pavement sag image into YOLOv7-tiny network, improve the input module and backbone network, and output the irregular shape of the sag image target. Fuzzy C-Means (FCM) clustering algorithm is introduced and objective function is established to realize the morphological feature visual detection of highway pavement depression. The experimental results show that: The method has smaller entropy, larger fuzzy coefficient, higher peak signal-to-noise ratio, and clearer features of pavement depression images.
Designing Post-Disaster Restoration Schemes for Traffic Networks based on Network Topological Indicators
Authors: Yao Yitao , Zeng Xintong , Yang Chen , Yu Yang , Wu Shihui
Published: April 2024

Identifying key road segments and prioritizing their protection to enhance the resilience of road networks against crisis events remains a pressing issue. In this paper, complex network theory is adopted to determine the importance ranking of road segments and analyse how to select the road segments that need to be rehabilitated in the case of insufficient budget. This study will provide three different methods to assess the importance of road segments, and with the help of user equilibrium model for traffic demand allocation, calculate the system travel time after rehabilitation to evaluate, compare, and analyse different rehabilitation schemes, and then get the rehabilitation scheme with better performance. Meanwhile, it is investigated whether the optimal road segment rehabilitation combination will change under different budget levels. The results of the case study finally show that the rehabilitation set determined by the Clustering Coefficient and the betweenness is better, which can provide practical guidance on how to select the prioritized rehabilitation segments.
Forecasting the annual sales of new energy vehicles in China based on the DGM (1, N) model
Authors: Hu Bingbing , Liu Weiguo , Cai Yonghui
Published: April 2024

New energy vehicles are of great significance to China’s economy and ecological environment. Selected from 2012 to 2022 new energy vehicles annual sales and 19 related factors data, gray correlation analysis, select the gray correlation of large charging pile ownership, new energy vehicles related enterprise registration, power battery loading, a total of three factors as a variable DGM (1,3) model, calculation parameters, and the validity of the model, the results proved that the model prediction credibility and prediction accuracy is high, the relative error, reasonable expectations for the future policy, industrial planning, investment strategy, etc.