Abstract
Road signs play an important role in traffic. The transportation authorities have published some guidelines and regulations about the design and implementation of road signs. However, along with rapid development of road networks, existing road sign system faces with the problem of constantly revision and update. In the paper we propose a semantic approach to check if existing road signs abide the guidelines. The main advantage of the semantic technology is that the verification of road signs can be achieved by automatic reasoning and data processing services provided by a semantic system. We have integrated multi-source geographic data and developed a semantically-enabled road sign management system, which is built on the top of the LarKC, a platform for scalable semantic data processing. The experiments show that our system can successfully find the road signs which are set improperly.
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Xu, D., Liu, Q., Huang, Z., Zhang, D., Zhang, J., Li, N. (2014). Using Semantic Technology for Automatic Verification of Road Signs. In: Huang, Z., Liu, C., He, J., Huang, G. (eds) Web Information Systems Engineering – WISE 2013 Workshops. WISE 2013. Lecture Notes in Computer Science, vol 8182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54370-8_36
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DOI: https://doi.org/10.1007/978-3-642-54370-8_36
Publisher Name: Springer, Berlin, Heidelberg
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