Evaluating Highway Traffic Safety: An Integrated Approach

Yang, Yanqun; Easa, Said M.; Lin, Zhibin; Zheng, Xinyi

doi:10.1155/2018/4598985

Cited by 12 publications

(9 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this regard, several studies have carried out pavement sustainability concepts or road sustainability for contributions that improve economic, road social and environmental aspects. For example, Mao et al [8] provides a method to improve pavement performance sustainability by a reasonable traffic flow assignment; Corriere and Rizzo [9] provide guidance for a methodological approach of sustainability in road design; Farooq et al [10], Yang et al [11] and Demasi et al [12] analyzed factors that contribute to traffic safety; in environmental sustainability, Montgomery et al [13] provide a wide range of ideas and options to improve the inclusion of environmental sustainability throughout the road project cycle.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Road Maintenance Planning in Developing Countries Based on Pavement Management Systems: Case Study in Baja California, México

2019

View full text Add to dashboard Cite

The objective of this research is to develop a useful procedure that allows the collection, analysis, processing and updating of pavement conditions data, with the vision of generating inputs for the implementation of sustainable strategies for maintenance and rehabilitation of roads, based on pavement management systems. The relevance of this proposal lies in the fact that road management agencies in most of the developing countries have limited resources, staff and data to plan the interventions carried out on road networks. The proposed model comes from a work that has been done since 2014 to date, on the Centinela-La Rumorosa Highway, located in the state of Baja California, Mexico. Results integrate data gathered from analyzing the surface and structural conditions of its pavement and the study area, as well as the operating conditions of the road, including a georeferencing process in order to determine critical points in the network, and simulation to determine the effects of maintenance work carried out annually. It is concluded that the proposed planning model contributes to the improvement of highway performance, since it allows planning and administering the allocation of resources in making appropriate maintenance and rehabilitation decisions. Additionally, it allows to generate valuable inputs for pavement management systems implementation. The foregoing allows road management agencies in developing countries to provide a quality transportation system to their users.Sustainability 2020, 12, 36 2 of 14 models to local conditions. In developing countries, road management agencies have limited resources and staff, and for this reason, obtaining such inputs implies a greater effort and challenge. In that case, Mexican administrative agencies have not been able to adopt a pavement management approach. Therefore, road maintenance and rehabilitation works are carried out reactively, and not proactively, once surface and structural failures occur; in general terms, it becomes complex for one-way managers to define a preventive strategy.As a result of the foregoing, as of the year 2014, a project which seeks to improve planning and decision-making regarding the M&R of a road section began. This project locates in a mountain range of Baja California, Mexico. The objective of this research is to develop a useful procedure that allows the collection, analysis, processing and updating of pavement conditions data, with the vision of generating inputs for the implementation of sustainable strategies for M&R of roads, based on pavement management systems.

show abstract

Section: Introductionmentioning

confidence: 99%

Sustainable Road Maintenance Planning in Developing Countries Based on Pavement Management Systems: Case Study in Baja California, México

2019

View full text Add to dashboard Cite

show abstract

“…Taylan, Bafail, Abdulaal, and Kabli (2014) developed hybrid methodologies based on fuzzy AHP and fuzzy TOPSIS and applied the relative importance index method to prioritize the project risks based on the obtained data. Yang, Said, Lin, and Zheng (2018) presented a novel methodology to determine the overall highway safety level through statistical analysis and ANP with set pair analysis (SPA). D. Shin, Y. Shin, and Kim (2016) performed a comparative analysis of AHP and fuzzy AHP to evaluate the potential risk factors at the construction site of a nuclear power plant.…”

Section: Literature Reviewmentioning

confidence: 99%

“…ANP applies and analyzes a super matrix for weight synthesis (Saaty, 2004;Zhao et al, 2017). The representation of the network model and the weight synthesis are the two main components of ANP method (Saaty, 2004;Yang et al, 2018). The structure of ANP model can be represented in the graphical form (which qualitatively represents the interactional relationships and feedback among the components) and matrix form (which qualitatively represents the degree or magnitude of the interaction or feedback).…”

Section: Analytical Network Processmentioning

confidence: 99%

Fanpce Technique for Risk Assessment on Subway Station Construction

Bai

Che

et al. 2019

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

Risk assessment is critical for the construction of the subway station to improve the risk management and reduce the additional loss. According to field investigation of safe construction, the analytical network process (ANP), fuzzy set theory and fuzzy comprehensive evaluation (FCE), a fuzzy ANP comprehensive evaluation (FANPCE) model was proposed to evaluate the risk of subway station construction in this paper. Twelve key risk factors of subway station construction were identified through literature review and questionnaires. The interdependency among risk factors were illustrated through the network structure of ANP, and then a weight matrix of single risk factors was built by comments and survey results, and the interdependent weight matrix was quantified by integrating the triangular fuzzy number into the ANP. Subsequently, the total risk rank of assessed projects can be quantified though the synthesis of weight matrices with the synthetic operator of FCE. Wu Lu Kou subway station was selected as a case study. The results imply that, construction experience, underground water, and safety consciousness have a substantial influence on construction projects and that the total construction risk of Wu Lu Kou subway station is ranked at I level. Moreover, the loss analysis of the whole construction process verifies this method. This research contributes to developing a FANPCE method to identify the risk factors with high weights, assess the risk rank of projects and appropriately respond to the results. In addition, the developed fuzzy set theory-ANP-FCE integrated network provides stakeholders a consolidated model for the risk evaluation.

show abstract

“…It can be seen that one of the most important and common disadvantage is seldom considering the coupling of multiple risk factors on mountainous highways, and the pertinence for the mountainous highway is not very strong [12]. Another important disadvantage is that large quantity of random road tra c accident data and the corresponding detailed data are needed, and it is di cult to obtain the data or the data are not recorded during the study period in many regions [30,34]. e method proposed in this research can help improve these aspects.…”

Section: Galementioning

confidence: 99%

Crash-Prone Section Identification for Mountainous Highways Considering Multi-Risk Factors Coupling Effect

Xue

Wen

2019

Journal of Advanced Transportation

View full text Add to dashboard Cite

In order to identify crash-prone sections of the highways in mountainous areas professionally and exclusively, the common phenomena of “sharp turns”, “continuous long downhill”, “multiple tunnels”, “dangerous roadside environment”, and complex and changeable meteorological environment, which all imply risk factors of the mountainous highways, are comprehensively considered. Utilizing the improved classical coupling model, the coupling mechanism of the risk factors is revealed, and the coupling model of the traffic risk factors is constructed, by which the coupling degrees of multi-risk factors couplings are calculated respectively. Based on the coupling degrees of the above factors, the concept of vehicle operation risk index (VORI) of the mountainous highway is introduced and its numerical value is quantified as the basis for identifying the crash-prone sections. The 21 km of Songming to Huize section of the Songdai Highway in the Yunnan Province of China is selected as an example, and the good applicability of the identification model is verified.

show abstract

Evaluating Highway Traffic Safety: An Integrated Approach

Cited by 12 publications

References 27 publications

Sustainable Road Maintenance Planning in Developing Countries Based on Pavement Management Systems: Case Study in Baja California, México

Sustainable Road Maintenance Planning in Developing Countries Based on Pavement Management Systems: Case Study in Baja California, México

Fanpce Technique for Risk Assessment on Subway Station Construction

Crash-Prone Section Identification for Mountainous Highways Considering Multi-Risk Factors Coupling Effect

Contact Info

Product

Resources

About