A Traffic Accident Causation Analysis Method Based on AHP-Apriori

Xi, Jianfeng; Zhao, Zhonghao; Li, Wei; Wang, Quan

doi:10.1016/j.proeng.2016.01.305

Cited by 45 publications

(27 citation statements)

References 2 publications

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“…Penelitian ini melakukan analisis terhadap penyebab terjadinya kecelakaan, dengan mengkombinasikan algoritma Apriori dan AHP. Penelitian ini menyimpulkan bahwa factorfaktor utama penyebab terjadinya kecelakaan adalah factor pengemudi (berpengalaman atau tidak berpengalaman), keadaan jalan, keadaan lingkungan sekitar, dan kondisi kendaraan [5].…”

Section: IIunclassified

Analisis Kaidah Asosiasi Antar Item Dalam Transaksi Pembelian Menggunakan Data Mining Dengan Algoritma Apriori (Studi Kasus: Minimarket Gun Bandungan, Jawa Tengah)

Prasidya¹,

Fibriani²

2017

JUTI

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ABSTRAK Data-data transaksi pembelian di minimarket yang selama ini hanya disimpan sebagai arsip dapat dimanfaatkan untuk aims to discover association rules in the purchase of the items in the minimarket to solve the issue of procurement of the stock of items, promotional strategy determination, and the arrangement of items. Keywords: apriori algorithm, association rule mining, data mining I. PENDAHULUANToko atau minimarket rata-rata telah mengadopsi Teknologi Informasi dalam proses bisnisnya. Contoh adopsi Teknologi Informasi di toko atau minimarket adalah penggunaan aplikasi desktop untuk mempermudah proses pembelian. 10 dari 10 sampel minimarket yang diobservasi di kota Salatiga, Jawa Tengah telah menggunakan aplikasi desktop untuk memproses transaksi pembelian [1]. Data transaksi pembelian di toko akan bertambah setiap hari, dan membutuhkan ruang penyimpanan data yang besar. Data-data transaksi pembelian sering tidak digunakan untuk kepentingan lebih lanjut, melainkan hanya dijadikan arsip internal milik toko. Data transaksi pembelian yang tersimpan memiliki informasi-informasi yang bisa digali dengan teknik data mining, misalnya informasi mengenai kaidah asosiasi dalam pembelian konsumen dan cluster-cluster konsumen yang ada.Informasi mengenai kaidah asosiasi dalam pola pembelian konsumen dapat digunakan oleh toko untuk mengatasi masalah seperti pengadaan stok barang yang tidak dapat diprediksi, penentuan strategi promosi yang tepat guna, dan penataan barang di toko atau minimarket. Masalah pengadaan stok barang yang tidak dapat diprediksi, penentuan strategi promosi yang belum dapat mendongkrak penjualan, dan penataan barang di toko atau minimarket yang belum berorientasi pada kecenderungan pola pembelian konsumen adalah masalah yang dihadapi oleh minimarket Gun yang berlokasi di Bandungan, Jawa Tengah, sehingga peneliti memutuskan untuk mengambil judul penelitian "Analisis Kaidah asosiasi antar Item dalam Transaksi Pembelian menggunakan Data Mining dengan Algoritma Apriori (Studi Kasus: Minimarket Gun Bandungan, Jawa Tengah)".

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Section: IIunclassified

Analisis Kaidah Asosiasi Antar Item Dalam Transaksi Pembelian Menggunakan Data Mining Dengan Algoritma Apriori (Studi Kasus: Minimarket Gun Bandungan, Jawa Tengah)

Prasidya¹,

Fibriani²

2017

JUTI

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“…Aggressive driving behaviors have been shown to have a significant positive correlation with traffic collisions, which exposes both the driver and other road users to potential collision risks (Lee, ; Nataanen & Summala, ; World Health Organization, ; Xi, Zhao, Li, & Wang, ). To better assess one's driving behavior, in‐vehicle sensing techniques have been widely adopted to collect and analyze various driving‐related data (Boyce & Geller, ; Jensen, Wagner, & Alexander, ; Toledo, Musicant, & Lotan, ).…”

Section: Introductionmentioning

confidence: 99%

Enhancing driving safety: Discovering individualized hazardous driving scenes using GIS and mobile sensing

Goldberg

Chu

et al. 2019

Transactions in GIS

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Traffic collisions have been well acknowledged as a significant threat to public health, closely related to human driving errors. This study introduces an innovative approach to investigate spatiotemporal distributions of individualized driving errors and to characterize hazardous driving scenes, in which drivers are more prone to make driving mistakes. We first create a multi‐feature‐fusion framework to extract driving errors using smartphone sensors. Then, the detected errors are geo‐statistically analyzed with road networks and driving trajectories to identify driving error hotspots. We next construct a “scenic tuple” for representing the occurrence of driving errors. Finally, the individualized hazardous driving scenes are extracted by mining a long‐term collection of scenic tuples. Results demonstrate that our proposed approach can effectively identify driving errors. Additionally, the spatiotemporal patterns of driving mistakes can be identified from the individualized hazardous driving scenes, which has the potential to aid in reducing driving risks.

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Section: Introductionmentioning

confidence: 99%

“…The multiple-criteria method is used in [10], where three criteria for route choice (shipping time, shipping price, shipping safety) are applied. The AHP is also used in transportation research in [11].The aim of this study is to employ a complex scientific approach for choosing the route of transportation of cargo by trucks and road trains. This objective is achieved by defining and ranking the criteria by means of the multi-criteria analysis method and the cost/benefit method for route selection.…”

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confidence: 99%

Methodology for the selection of the route of a truck

Kunchev¹

2017

Engineering for Rural Development

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Abstract. This study presents a methodology for selection the route of a truck moving between two points by taking into account multiple factors relevant to transport. The evaluation criteria have been selected so that they take account into the infrastructure road conditions, geographic characteristics of the road, roadside conditions and the weather conditions, on the one hand, and fuel consumption, on the other hand. The study examines four main sets of criteria with fifteenth sub-criteria. As sub-criteria related to the main criteria we have selected the condition of the road surface, the longitudinal and transverse unevenness of the road, inclines on the road, number of turns, restaurants and petrol stations, and others. The methods of Analytic Hierarchy Process (AHP) and Cost/Benefits have been applied. The AHP method has been used to determine the weights of the criteria and sub-criteria, and the priorities of alternative routes. The Cost/Benefits method has been applied for the selection of the best route of a truck among the alternatives under study. The methodology has been tried out on two variants taking into account the meteorological conditions. The results show that the criterions of the infrastructure road conditions are of great importance. Sub-criteria of great importance are the condition of the road surface, longitudinal and transverse lumpiness of the road, sections of the road under repair, category of road, availability of places to take a rest and parking lots.The decision approach proposed in this paper was tested for a route selection among alternatives for the road network in Bulgaria. The proposed model can help transport managers enhance the effectiveness of the movement of vehicles.Keywords: AHP method, truck, transportation, route selection. IntroductionTransport processes in automotive companies require the choice of a route, according to the condition of the roads for carriage the goods according to the season. It is necessary for managers of transport companies to take decisions in any situation. These decisions are often made intuitively, on the basis of their experience. To choose the route of the truck between two points it is necessary to adopt a complex approach, which will assess the objective criteria.The multi-criteria decision-making approach Analytic Hierarchy Process (AHP) has been applied for best routes prioritization and selection. In [1; 2] the authors have studied the problem of multiplecriteria selection of the transportation mode of cargo. The four main criteria characterizing the efficiency of freight transportation and the transportation system, such as the cost for cargo delivery, time of delivery, reliability of cargo transportation and ecological impact, have been defined by the authors. For route selection they have used the AHP method. In [3] the authors examine criteria such as costs, time, risk of freight damage, risk of infrastructure and equipment, risk of other factors for multimodal routes selection. In [4] the AHP method is used to choose the best...

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A Traffic Accident Causation Analysis Method Based on AHP-Apriori

Cited by 45 publications

References 2 publications

Analisis Kaidah Asosiasi Antar Item Dalam Transaksi Pembelian Menggunakan Data Mining Dengan Algoritma Apriori (Studi Kasus: Minimarket Gun Bandungan, Jawa Tengah)

Analisis Kaidah Asosiasi Antar Item Dalam Transaksi Pembelian Menggunakan Data Mining Dengan Algoritma Apriori (Studi Kasus: Minimarket Gun Bandungan, Jawa Tengah)

Enhancing driving safety: Discovering individualized hazardous driving scenes using GIS and mobile sensing

Methodology for the selection of the route of a truck

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