Indicators development to support intelligent road infrastructure in urban cities

Lee, Jinwoong; Yoon, Yoojung

doi:10.1016/j.tranpol.2021.10.009

Cited by 12 publications

(7 citation statements)

References 20 publications

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“…Dengan kondisi tersebut maka perlu menjadi perhatian agar Kota Jambi dapat meningkatkan upaya pembangunan jalan, baik jalan arteri, jalan kecil, atau jalan kolektor, karena jaringan jalan merupakan salah satu objek vital dalam pengembangan daerah urban bahkan urban smart city (Lee & Yoon, 2021). Jalan memainkan peranan penting dalam tata guna ruang dan lahan dan sebagai mobilitas utama transportasi (Nadimi et al, 2023).…”

Section: Temuan Dan Pembahasanunclassified

Analisis Tingkat Kesesuaian Lahan Permukiman Berdasarkan Jaringan Jalan di Kota Jambi

Setiawan

2023

gdk

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Abstrak sarana jalan merupakan akses utama suatu wilayah yang dapat menjadi pemicu kesetaraan ekonomi, sosial, pendidikan, dan kesehatan. Jalan akan senantiasa berhubungan dengan permukiman yang dapat melahirkan dampak timbal balik. Penelitian ini bertujuan untuk mengetahui kesesuaian lahan berdasarkan jaringan jalan di Kota Jambi, provinsi Jambi. Metode analisis yang digunakan yaitu buffer jaringan jalan menjadi tiga kriteria yaitu sangat baik, baik dan kurang baik untuk permukiman, dengan menggunakan perangkat lunak ArcGis 10.8. Data yang digunakan yaitu peta jaringan jalan dan batas wilayah yang diperoleh dari peta Rupa Bumi Indonesia serta Citra Satelit yang diperoleh dari Google Earth Pro. Penelitian ini menghasilkan bahwa kriteria yang memiliki wilayah yang sangat baik untuk pemukiman 0 -100 m berjumlah 51,06% atau 8.673,3 Hektar yang berada di Kecamatan Danau Teluk dan Pelayangan. Sementara kriteria 101-750 m yang bernilai kriteria baik sekitar 46,55% atau 7.906,7 Hektar berada di Kecamatan Kota Baru, Paal Merah, Alam Barajo, Jelutung, Pasar Jambi, dan Jambi Selatan. Wilayah yang memiliki kriteria kurang baik di atas 750 m berjumlah 2,39% atau 405 Hektar berada di Kecamatan Danau Sipin, Danau Teluk, Jambi Timur, dan Telagapura. Wilayah yang memiliki kriteria kurang baik berjumlah 2,39%. Maka kota Jambi mempunyai wilayah yang besar untuk permukiman dan tentu di masa yang akan datang dapat mendorong perkembangan Kota Jambi dalam skala besar.

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Section: Temuan Dan Pembahasanunclassified

Analisis Tingkat Kesesuaian Lahan Permukiman Berdasarkan Jaringan Jalan di Kota Jambi

Setiawan

2023

gdk

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“…The number of road miles and highways in each country have entered an era of tremendous stockpiling as a result of the massive infrastructure construction and investment, and the cost and maintenance burden are extremely high [1].Cracks are among the many illnesses that cause the most severe violations of harm to the flow of traffic and must be anticipated and recognized. And in recent years, the duty of detecting road cracks has gradually evolved from manual and automated to intelligent due to the rapid development of computer vision technology and deep learning [2].Researchers from all around the world have progressively begun to recognize the significance of crack detection work, and a significant amount of deep learning-and big data-based crack detection work is currently being conducted.…”

Section: Introductionmentioning

confidence: 99%

Crack image generation algorithm based on deep convolutional generative adversarial network

Zhang

Ming-chao²,

Wang³

et al. 2023

Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022)

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In order to improve the image quality of a specific class of crack images, as well as to solve the problems of insufficient size of the number of crack datasets and small number of complex crack images, a crack image generation model based on DCGAN (Deep Convolutional Generative Adversarial Network, DCGAN) is proposed, which has superior training stability and convergence speed. The experimental results show that DCGAN can generate a large number of real crack images with complex backgrounds more reliably than traditional image augmentation methods, effectively solving the problem of lack of crack images in special cases and greatly reducing the cost of crack image acquisition tasks.

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“…Highway projects are crucial in promoting the socio-economic development of countries and regions [1][2][3] as an efficient highway infrastructure network enables access to health, education, housing, and commerce, among others [4]. Hence, governments worldwide prioritize large financial investments to develop new highway projects and maintain the existing highway network [5,6].…”

Section: Introductionmentioning

confidence: 99%

Highway Planning Trends: A Bibliometric Analysis

et al. 2022

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An efficient highway infrastructure network is a determining factor in promoting the socio-economic development of countries and regions. Highway planning activities are highly important because their results ensure that projects are delivered within budget, schedule, and scope. Therefore, academics and professionals have promoted various methodological and technological advances focused on improving highway planning processes, evidenced by many scientific documents that address the topic. Despite progress, few studies have focused on analyzing the state of the knowledge structure and the technological and methodological trends of the highway planning topic. Considering this gap, this study presents trends in highway planning and its knowledge structure based on a bibliometric analysis from January 2015 to September 2021. The research method is based on a bibliometric analysis composed of five main stages: (1) scope definition, (2) selection of bibliometric analysis techniques, (3) data collection, (4) bibliometric analysis execution, and (5) evidence analysis and synthesis. Information from 1703 journal papers was collected and analyzed. The findings show that the main trends of highway planning focus on life cycle analysis, computational tools, smart cities, sustainability issues, construction processes, new equipment and materials, and multi-objective optimization, among others. Thus, the findings of this study allow the reader to identify the methodological and technological trends in highway planning and their knowledge gaps to guide future studies in the field.

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Indicators development to support intelligent road infrastructure in urban cities

Cited by 12 publications

References 20 publications

Analisis Tingkat Kesesuaian Lahan Permukiman Berdasarkan Jaringan Jalan di Kota Jambi

Analisis Tingkat Kesesuaian Lahan Permukiman Berdasarkan Jaringan Jalan di Kota Jambi

Crack image generation algorithm based on deep convolutional generative adversarial network

Highway Planning Trends: A Bibliometric Analysis

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