Application of slim A-pillar to improve driver’s field of vision

Cho, Y. H.; Han, Byoungkee

doi:10.1007/s12239-010-0063-8

Cited by 14 publications

(4 citation statements)

References 1 publication

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“…The design parameters involved in the design and installation of rear-view mirrors should be in optimal conditions in such a way as to overcome the problems of blind spots on the either side of the vehicle. Cho and Han [16] investigated that the driver's vision is the most critical factor for an unusual driving situation. Martijn et al [17] presented the systematic approach when designing a new lane change support system for vehicles using virtual reality simulation and gaming principles.…”

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

confidence: 99%

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

Pandian¹,

Sundaram

Rajakarunakaran³

2016

PROMET

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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.

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

confidence: 99%

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

Pandian¹,

Sundaram

Rajakarunakaran³

2016

PROMET

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show abstract

“…Then the decision matrix is normalized using equation (2) and shown in Table 5. After that, the weighted normalized decision matrix is determined using equation (3).…”

Section: Case Studymentioning

confidence: 99%

“…The World Health Organization (WHO) estimated that more than 1million deaths occur each year worldwide due to road traffic accidents [1]. Cho and Han [2] investigated that the vision for the driver as the most critical factor for an unusual driving situation. Statistics revealed that most of the road accidents were happened due to visual problems such as vision of the driver, brightness of the light and glare during night time and the area of blind spot.…”

Section: Introductionmentioning

confidence: 99%

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

Pandian¹,

Vincent²,

Rajini

et al. 2014

Procedia Engineering

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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.

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“…Experts and scholars at home and abroad have tried to improve the blind spot problem of vehicles to improve the visibility of the driver's field of vision and thus improve safety during vehicle driving, one of the important methods is to reduce the driving blind spot by improving the design of the body structure.Pitchipoo [4] reduced the blind spot area by optimizing the design parameters used in the design of the rearview mirror of heavy vehicles, using three different methods to calculate the weights of design parameters and compare the results; Steve [5] analyzed heavy trucks by using the SAMMIE digital human modeling system and showed that adding an aerodynamic front to the existing vehicle cab can improve direct vision in the vehicle cab; Cho [6] proposed three ways to structurally reduce this angle by using a slender A-pillar to reduce the A-pillar obstruction angle while ensuring the driver's field of vision to address the problem of the driver's field of vision being obstructed by the vehicle's A-pillar.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the impact of forward vision on vehicle start-stop process and traffic operation

Ji,

Yu,

Luo

2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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In this paper, we analyze the numerical characteristics of stopping spacing and starting interval of vehicles at signal intersections, explore the relationship between forward vision and stopping spacing and starting interval, and analyze the impact of vehicles on road traffic under different stopping spacing conditions by simulation software. Firstly, the numerical characteristics of stopping spacing and starting interval are analyzed based on the data collected in the field; then, the correlation effect of vehicle type on stopping spacing and starting interval and its distribution characteristics are verified; finally, the motion process of vehicles stopping and starting at different stopping spacing is simulated in vissim simulation software to analyze the influence of different stopping spacing on road traffic. The results of the statistical analysis of the data showed that the differences in vehicle forward vision due to different vehicle types had a significant effect on the stopping spacing, while it did not have a significant effect on the start interval time; the simulation results show that as the stopping spacing decreases, the traffic capacity and average speed increases, while the delay and travel time decrease.

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Application of slim A-pillar to improve driver’s field of vision

Cited by 14 publications

References 1 publication

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

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

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

Assessment of the impact of forward vision on vehicle start-stop process and traffic operation

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