A location based service approach for collision warning systems in concrete dam construction

Wu, Hao; Tao, Jing; Li, Xinping; Chi, Xiuwen; Li, Hua; Hua, Xing; Yang, Ronghua; Wang, Sheng; Chen, Nan

doi:10.1016/j.ssci.2012.08.006

Cited by 42 publications

(21 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They concluded that this technology could be useful in the prevention of some type of accidents. Wu et al [21] used the global positioning system (GPS) in the prevention of collision accidents. Zhang et al [22] concluded that the lack of use of seat belts and inadequate training were also two important factors.…”

Section: Related Workmentioning

confidence: 99%

An improved approach for association rule mining using a multi-criteria decision support system: a case study in road safety

Ait-Mlouk

Gharnati

Agouti

2017

Eur. Transp. Res. Rev.

View full text Add to dashboard Cite

Purpose Road accidents have come to be considered a major public health problem worldwide. The aim of many studies is therefore to identify the main factors contributing to the severity of crashes. Methods This paper examines a large-scale data mining technique known as association rule mining, which can predict future accidents in advance and allow drivers to avoid the dangers. However, this technique produces a very large number of decision rules, preventing decision makers from making their own selection of the most relevant rules. In this context, the integration of a multi-criteria decision analysis approach would be particularly useful for decision makers affected by the redundancy of the extracted rules. Conclusion An analysis of road accidents in the province of Marrakech (Morocco) between 2004 and 2014 shows that the proposed approach serves this purpose; it may provide meaningful information that could help in developing suitable prevention policies to improve road safety.

show abstract

Section: Related Workmentioning

confidence: 99%

An improved approach for association rule mining using a multi-criteria decision support system: a case study in road safety

Ait-Mlouk

Gharnati

Agouti

2017

Eur. Transp. Res. Rev.

View full text Add to dashboard Cite

show abstract

“…Some researchers have focused on the particular blind spot problems of tower cranes [28][29][30][31]. For instance, Lee et al [32] introduced a tower crane navigation system that provided 3D information about the building, surroundings, and position of the lifted object in real time using various sensors and a building information model.…”

Section: Introductionmentioning

confidence: 99%

A virtual blind spot identification system (VIBSIM) for construction projects

Kıvrak

Kia

2017

Scientia Iranica

View full text Add to dashboard Cite

Abstract. The construction industry is recognized as one of the most hazardous industries. Visibility-related accidents are the cause of a signi cant portion of the total fatalities within the construction industry. Limited visibility due to construction equipment blind spots and a lack of visibility in construction areas such as slab openings are among the main causes of these fatalities. This study introduces the Virtual Blind Spot Identi cation System (VIBSIM), which was designed to identify and examine blind spots in construction equipment and construction sites. The VIBSIM consists of a three-dimensional point cloud model that uses 3ds Max software in conjunction with a V-Ray rendering motor. A real case is used to validate the applicability of the proposed system. The results indicate that the system can signi cantly improve safety applications for construction projects. Moreover, the system can aid construction managers in making decisions regarding better management of such safety applications for construction projects.

show abstract

“…In other ways, Demirel et al [20] used remote sensing for regional scale analysis and effective management of the environmental, and they concluded that this technology could be useful in the prevention of some type of accidents. Wu et al [21] used the global positioning system (GPS) in the prevention of the collision accidents. Zhang et al [22] concluded that the non-use of seat belts and inadequate training were also two important factors.…”

Section: Introductionmentioning

confidence: 99%