چکیده مقاله
The rapid process of urbanization has brought about complex difficulties in various areas such as housing, transportation,education, healthcare, and the economy Consequently, a significant revamp of seaport operations is necessary to optimizesmart mobility and facilitate the development of intelligent cities This paper introduces an innovative mathematicalframework rooted in deep learning techniques Our groundbreaking model accurately detects parking spaces and lanes inseaport environments by analyzing crane positions and utilizing live Closed Circuit Television CCTV camera data for realtimemonitoring and efficient allocation of parking space Through an extensive review of existing literature, we explore thebenefits of integrating artificial intelligence AI and computer vision CV technologies in managing parking facilities Ourframework focuses on enhancing the efficiency of container drayage within seaports, with a particular emphasis onimproving traffic management, optimizing parking space allocation, and streamlining container movement The insightsgained from our study establish a foundation that holds potential implications for real world applications By incorporatingstate of the art technologies, our proposed framework not only improves the efficiency of seaport operations but alsoestablishes the groundwork for sustainable and intelligent seaport systems This represents a significant step towardachieving intelligent seaport operations, making a significant contribution to the advancement of urban logistics andtransportation networks Future research efforts will be directed towards the practical implementation and validation of thispioneering mathematical framework in real world seaport environments Additionally, our work underscores the vitalimportance of exploring further applications of AI and CV technologies in seaport logistics, adapting the framework toaddress the evolving challenges of urbanization and transportation These endeavors will foster continuous progress in thefield, shaping the future of intelligent seaport operations
کلیدواژهها
نویسندگان
AmirAbbas Ranjbar
Alireza ChamkooriReza MashayekhiPeyman ArebiSajed MohisenKarim Dameshgh
Alireza Chamkoori
AmirAbbas RanjbarReza MashayekhiPeyman ArebiSajed MohisenKarim Dameshgh
Reza Mashayekhi
AmirAbbas RanjbarAlireza ChamkooriPeyman ArebiSajed MohisenKarim Dameshgh
Peyman Arebi
AmirAbbas RanjbarAlireza ChamkooriReza MashayekhiSajed MohisenKarim Dameshgh
Sajed Mohisen
AmirAbbas RanjbarAlireza ChamkooriReza MashayekhiPeyman ArebiKarim Dameshgh
Karim Dameshgh
AmirAbbas RanjbarAlireza ChamkooriReza MashayekhiPeyman ArebiSajed Mohisen
شیوه ارجاع
Ranjbar, AmirAbbas and Chamkoori, Alireza and Mashayekhi, Reza and Arebi, Peyman and Mohisen, Sajed and Dameshgh, Karim,1402,Harnessing The Power of Artificial Intelligence and Deep Learningto Optimize Seaport Operations and Enhance Their Efficiency,21st National Conference of Computer Science and Engineering and Information Technology,Babol
ارائهشده در
مجموعه مقالات بیست و یکمین کنفرانس ملی علوم و مهندسی کامپیوتر و فناوری اطلاعات30 آذر 1402 · بابل