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"Research on Intelligent Agent Systems" is an international open-source Chinese journal focusing on the technological innovation and cross-disciplinary applications of intelligent agents. The published content mainly targets the research and development and industrial application fields of intelligent agent technologies, reflecting the core technological breakthroughs, innovative application models, and new theories and methods of cross-disciplinary integration of intelligent agent systems at home and abroad It serves researchers, engineering technicians and industry practitioners in the field of intelligent agents, facilitating technology transformation and professional quality improvement.
Journal scope Covering core technologies of intelligent agents (autonomous decision-making algorithms, multi-agent collaboration, reinforcement learning applications, etc.), research and development of intelligent agent systems (software-defined intelligent agents, embedded intelligent agents, humanoid robot systems, etc.), implementation of industry applications (industrial intelligent agents, medical intelligent agents, financial intelligent agents, urban governance intelligent agents, etc.), and interdisciplinary integration (intelligent agents and artificial intelligence, Internet of Things, etc.) Various academic achievements such as basic research, technology development, application practice, review and comment, case analysis, and patent interpretation in areas like blockchain, cross-application of digital twins, technical standards and security (ethical norms of agents, data security, system reliability, etc.), and cutting-edge exploration (general artificial agents, brain-computer interface agents, metaverse agents, etc.) Balancing theoretical depth and industrial value, it comprehensively serves academic innovation, technological iteration and industrial upgrading in the field of intelligent agents.
This journal is a high-standard academic publication that has undergone peer review. The editors encourage submissions that are related to this journal and have theoretical and practical contributions.
All manuscripts must not be plagiarized. The author is solely responsible for the content.
Su YiChen
Suqian Highway Development Center, Suqian, Jiangsu 223800；
Abstract: With the continuous acceleration of infrastructure construction in China, especially the rapid development in the field of highway construction, the number of vehicles in China has also grown at a relatively fast pace. As a result, highway traffic congestion frequently occurs, the number of traffic accidents continues to rise, and the associated hazards are becoming increasingly severe. In recent years, the construction of highway traffic safety facilities has become increasingly comprehensive. Facilities such as traffic signs, markings, and guardrails protect the lives and property of homo sapiens, effectively reducing the casualty rate after accidents. However, the continuous increase in the quantity and variety of traffic safety facilities has also imposed higher requirements on the maintenance and management of highway traffic safety facilities. The application of intelligent inspection technology can significantly improve the efficiency of highway safety inspections, comprehensively understand the basic data of traffic safety facilities such as signs, markings, and guardrails, quickly and accurately grasp the daily maintenance status of these facilities, collect and analyze maintenance inspection data, and facilitate decision-making for highway traffic safety facility maintenance plans.
Keywords: intelligent inspection; system functionality; technical solutions; highway maintenance
References
[1] Liu Bo. Research on the Early Warning System of Intelligent Highway Inspection Robot Homo Sapiens Based on Radar-Vision Fusion[J]. Mechanical and Electrical Information, 2021, (28): 67-68.
[2] Yang Feng, Wang Ying, Cheng Renhui, Wu Nanhao, Prunus Salicina Peitao. Research and Development of Intelligent Highway Inspection and Maintenance Management System[J]. Construction & Design for Engineering, 2021, (07): 103-105.
[3] Chang Guangzhao. Analysis of Vehicle-Mounted Lightweight Road Intelligent Inspection System[J]. China Security, 2020, (09): 100-104.
