Abstract
With the rapid development of urban road traffic, there are a certain number of black spots in an urban road network. Therefore, it is important to create a method to effectively identify the urban road black spots in order to quickly and accurately ensure the safety of residents and maintain the sustainable development of a city. In this study, a GIS (geographic information system) and the Firefly Clustering Algorithm are combined. On the one hand, a GIS can accurately extract the distance between accident points through its spatial analysis function, overcoming the disadvantage of the accident data not usually including the specific location data. On the other hand, the Firefly Clustering Algorithm can be used to comprehensively extract the characteristics of accident points, which is particularly suitable for the identification of black spots. In order to verify the feasibility of the proposed method, this research compares the identification effect between the OD (origin–destination) cost distance calculated by GIS and the Euclidean distance. The results show that the Euclidean distance is smaller than the OD cost distance and that the accident search method based on the Euclidean distance can overestimate the number of black spots, especially for intersections. Therefore, the proposed method based on the Firefly Clustering Algorithm and GIS can not only contribute to identifying urban road black spots but also plays an auxiliary role in reducing urban road crashes and maintaining sustainable urban development.
Highlights
IntroductionOver and above the resulting personal emotional impact and trauma of injury or loss of life, they seriously affect people’s travel safety and lead to huge socio-economic losses
Traffic accidents are regarded as one of the most serious social problems
The paper proposed a novel identification method based on the Firefly Clustering Algorithm and GIS to solve the existing problem of the inaccurate identification of urban road accident black points
Summary
Over and above the resulting personal emotional impact and trauma of injury or loss of life, they seriously affect people’s travel safety and lead to huge socio-economic losses. Traffic accidents hinder the sustainable development of society. According to the National Highway Traffic Safety Administration (NHTSA), traffic accidents have annual economic costs of $277 billion and social costs of $594 billion, including those due to the suffering and loss of life resulting from car crashes [1]. Urban road traffic accidents account for a high proportion of road traffic accidents. They cause incalculable economic losses to society and have a serious negative impact on sustainable urban development
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