Surface flow and wake characteristics of automotive external rear-view mirror

Kim, Jae‐Hun; Park, Byung Ho; Han, Yong Oun

doi:10.1177/0954407011411377

Cited by 3 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mock-up system consisted of three flat screens that offer rear view mirror functionality. Kim et al [10] studied the surface flow and wake structure around an automotive external rear-view mirror and demonstrated that visualizations over the mirror housing surface and the driver side vehicle skin.…”

Section: Literature Reviewmentioning

confidence: 99%

COPRAS Decision Model to Optimize Blind Spot in Heavy Vehicles: A Comparative Perspective

Pandian¹,

Vincent²,

Rajini

et al. 2014

Procedia Engineering

View full text Add to dashboard Cite

The visibility of a driver is the key phenomenon in the road accidents. Reduction of blind spot improves the area of visibility which leads to reduce the possibility of the accidents. In this paper an effort is taken to reduce the blind spot area through the optimization of design parameters used in the design of rear view mirror in heavy vehicles. This is achieved by using a multi criteria decision making (MCDM) approach called COPRAS (Complex Proportional Assessment of alternatives) technique. The effectiveness of the developed model is proved by a case study conducted in a public transport corporation located in the southern part of India. The weights of the design parameters are calculated using three different approaches such as AHP (Analytical Hierarchy Process), FARE (Factor Relationship) method and Entropy Measurement and the results are compared.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

COPRAS Decision Model to Optimize Blind Spot in Heavy Vehicles: A Comparative Perspective

Pandian¹,

Vincent²,

Rajini

et al. 2014

Procedia Engineering

View full text Add to dashboard Cite

show abstract

“…The mock-up system consisted of three flat screens that offered rear-view mirror functionality. Kim et al [18] studied the surface flow and wake structure around an automotive external rear-view mirror and demonstrated the visualizations over the mirror housing surface and the driver side vehicle skin. The computer-based simulation method is also used to detect and warn of objects present within the blind spots of automobiles [1].…”

Section: Review On Optimization Of Design Parameters Of Rear-view Mirrormentioning

confidence: 99%

“…m (Alternatives); j = 1, 2 … n (Criteria). Then the absolute difference (∆ i (j)) between the normalized cell value and the corresponding referential series value was determined by using equation (18).…”

Section: Grey Relational Analysis (Gra)mentioning

confidence: 99%

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

Pandian¹,

Sundaram

Rajakarunakaran³

2016

PROMET

View full text Add to dashboard Cite

Statistics reveals that the visual problems are the primereasons for a larger number of road accidents. The blind spotis the major problem related to vision. The aim of this studyis to develop a fuzzy-based multi criteria decision-makingmodel for optimizing the area of the blind spot in the frontand sides of a heavy transport vehicle. To achieve this, thestatistical tool ANOVA (Analysis of Variance) and multi criteriaoptimization techniques like TOPSIS (Technique for Orderof Preference by Similarity to Ideal Solution), FAHP (FuzzyAnalytical Hierarchy Process) and GRA (Grey RelationalAnalysis) were also used in this problem This paper consistsof three modules: first, the blind spots of the existing bodystructure dimension used in heavy vehicles were studiedand the optimal design parameters were determined by usingANOVA and TOPSIS methodologies; next, the weights ofthe design parameters were calculated using FAHP method.Finally, GRA-based Multi Criteria Decision Making (MCDM)approach has been used to rank the vehicle body structures.The proposed model has been implemented in a transportcorporation to compare four different types of body structuresand concluded that the body structure which was builtby an outsourced body builder is having a smaller area ofblind spot and optimal design parameters as well.

show abstract

Non-linear intelligent fuzzy decision-making system for blind spot estimation

Suresh¹,

Vivek

Venkat³

et al. 2023

IFS

View full text Add to dashboard Cite

The lack of awareness of blind spots in vehicle transport results in more deaths nowadays. To address this issue, the multi-obstacle detection and measurement of the depth of the nearing vehicle, height, and width is necessary. In recent years, Fuzzy logic is being used to access smart decision-making for control actions. To handle the specific task efficiently, ambiguous and imprecise linguistic data is required. In this context, a non-linear intelligent fuzzy decision-making system has been proposed to estimate blind spots. An inference engine, a defuzzification interface to identify the blind spot both day and night, and a fuzzy rule-base are included. Shadows and edges can be used as linguistic parameters to identify vehicles in the daytime. The lamps are elevated higher than the air dams to avoid casting a shadow under the car at night. One in-sourcing vehicle and three out-sourcing vehicles are tested to determine the driver’s blind spot and a more comfortable driver’s seat and a rear-view mirror using the proposed system. A fuzzy matrix with a triangular number obtained from the crisp matrix is used to alert the driver of the likelihood of a collision using LEDs or buzzers.

show abstract

Surface flow and wake characteristics of automotive external rear-view mirror

Cited by 3 publications

References 13 publications

COPRAS Decision Model to Optimize Blind Spot in Heavy Vehicles: A Comparative Perspective

COPRAS Decision Model to Optimize Blind Spot in Heavy Vehicles: A Comparative Perspective

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

Non-linear intelligent fuzzy decision-making system for blind spot estimation

Contact Info

Product

Resources

About