Development of Fuzzy Based Intelligent Decision Model to Optimize the Blind Spots in Heavy Transport Vehicles

Pandian, R. Sudhakara; Sundaram, Vincent Devanayagam; Rajakarunakaran, S.

doi:10.7307/ptt.v28i1.1614

Cited by 9 publications

(4 citation statements)

References 22 publications

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“…Driver posture was captured and used in DHM for determining blind spots. On the other hand, Pandian et al (2016) proposed the use of fuzzy-based intelligent decision model to optimize the blind spots of heavy transport vehicles. In their study, several methods were used, namely ANOVA (Analysis of Variance), TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), FAHP (Fuzzy Analysis Hierarchy Process) and GRA (Grey Relational Analysis), to optimize blind spots.…”

Section: Introductionmentioning

confidence: 99%

Identifying Blind Spot Zone for Passenger Cars using Grid-Based Technique

Hashim

Ismail²,

Bakar³

et al. 2021

JSAEM

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A person driving a passenger car depends on the rear view mirror and two side-mounted mirrors to observe the surrounding in order to see vehicles approaching from behind. However, the approaching vehicle may enter a region outside the driver's field of view, making it inconspicuous to the driver. Such a region is known as the blind spot zone (BSZ). Although driving schools emphasize the importance of checking for vehicles in BSZ before attempting to change lane, many fatal collisions have occurred during lane changing. Thus, it is important to understand BSZ particularly its corresponding parameters in order to develop an effective system to detect approaching vehicles and provide warning to the driver. In this paper, a systematic approach using a grid-based technique is proposed to model the BSZ. An experiment was conducted using a commonly used passenger car in Malaysia as a test bed to model the BSZ. Controlled experimental parameters were introduced, and the final results showed that BSZ can be identified using the grid-based technique.

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Section: Introductionmentioning

confidence: 99%

Identifying Blind Spot Zone for Passenger Cars using Grid-Based Technique

Hashim

Ismail²,

Bakar³

et al. 2021

JSAEM

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“…Titik buta timbul karena adanya keterbatasan penglihatan pengemudi saat berkendara. [7] Setiap kendaraan pasti memiliki keterbatasan penglihatan atau area titik buta. Area titik buta ini dapat menjadi penyebab terjadinya kecelakaan .…”

Section: Pendahuluanunclassified

Analisis dan Pengurangan Blind Spot pada Alat Berat (Excavator dan Buldozer) Melalui Implementasi Kamera 360

Pitriadi,

Iswar

et al. 2024

sinergi

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Dalam industri alat berat, masalah keamanan dan pemantauan operasional unit yang ditinggalkan tanpa pengawasan telah menjadi isu signifikan. Risiko pencurian komponen alat berat dan kurangnya pemantauan real-time saat berada di daerah terpencil atau dari jarak jauh menjadi kendala utama. Penelitian ini bertujuan untuk mengembangkan Sistem Monitoring Portable untuk Operasional dan Anti Blind Spot guna meningkatkan keamanan operator dan orang di sekitar serta mengurangi titik blind spot. Sistem ini menggunakan teknologi kamera yang dipasang pada alat berat untuk pemantauan real-time dan deteksi dini potensi pencurian komponen. Metode penelitian yang dilakukan meliputi perancangan dan pemasangan Sistem Monitoring dan Anti Blind Spot pada unit alat berat. Dengan pemasangan Kamera 360 Portable, keamanan komponen meningkat berkat tersedianya sistem pemantauan video real-time. Desain dan implementasi Kamera 360 Portable memungkinkan pengambilan video dan gambar dari jarak jauh melalui perangkat ponsel operator atau pemilik unit selama terhubung dengan internet. Hasil penelitian menunjukkan bahwa penggunaan Kamera 360 Portable berhasil mengurangi persentase blind spot pada berbagai unit alat berat. Pada Excavator 313D, blind spot berhasil dikurangi sebesar 83,57%, sedangkan pada Bulldozer D3K, penurunan blind spot mencapai 79,82%. Sementara itu, pada Truk Kontainer, persentase penurunan blind spot sebesar 62,06%.

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“…Multi-criteria decision making (MCDM) methods are used to solve problems related to the use of different modes of transport [37][38][39][40][41][42][43][44][45]. Chen et al [46] investigated the process of rail passenger transfer at large terminals by comparing different alternatives.…”

Section: Literature Reviewmentioning

confidence: 99%

Identifying the Importance of Criteria for Passenger Choice of Sustainable Travel by Train Using ARTIW and IHAMCI Methods

Maskeliūnaitė

Sivilevičius

2021

Applied Sciences

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Nowadays, travelers can use different modes of transport, and they usually choose the most suitable and reliable mode available. The choice of one mode of transport as an alternative to another is subjective. It is usually built upon passenger attitude toward the advantages and disadvantages of using a particular mode. This article proposes analytical methods for and research results on passenger choices for sustainable train journeys as an alternative to traveling by bus. The rank averages of all criteria and their normalized subjective weights were calculated with reference to new linear (ARTIW-L) and nonlinear (ARTIW-N) methods of average rank transformation into weight. A correlation between sub-criteria rank averages and normalized weights is presented, based on the minimum number of passengers required to be interviewed to provide reliable results. The average ranks assigned by passengers to the evaluation sub-criteria and their global weights were used for determining and describing the most and least important key criteria by applying the inverse hierarchy for assessment of main criteria importance (IHAMCI) method. The analysis shows that the most important key criterion belonged to the sub-criteria characterizing economy, while the less important key criteria included ride comfort. The least important key criteria described safety and environmental protection, whose normalized subjective overall weights were the lowest. Rail transport authorities and companies involved in transporting passengers can make this mode of transport more attractive to people by giving priority to improving the services they provide to passengers.

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Development of Fuzzy Based Intelligent Decision Model to Optimize the Blind Spots in Heavy Transport Vehicles

Cited by 9 publications

References 22 publications

Identifying Blind Spot Zone for Passenger Cars using Grid-Based Technique

Identifying Blind Spot Zone for Passenger Cars using Grid-Based Technique

Analisis dan Pengurangan Blind Spot pada Alat Berat (Excavator dan Buldozer) Melalui Implementasi Kamera 360

Identifying the Importance of Criteria for Passenger Choice of Sustainable Travel by Train Using ARTIW and IHAMCI Methods

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