Using Semantic Technology for Automatic Verification of Road Signs
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 syste
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School of Computer Science and Engineering, Jiangsu University of Science and Technology, China 2 Department of Computer Science, Faculty of Sciences, Vri je University of Amsterdam, Holland [email protected], {giant_liu,tkh4}@163.com, [email protected] [email protected], [email protected]
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. Keywords: Semantic technology, Intelligent transport system, National guidelines, Road sign management.
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Introduction
With the rapid development of the economy, China’s vehicle amount ascends 20% annually. In large cities like Shanghai and Beijing, where are densely populated, vehicles are comparably concentrated. The traffic flow is heavy and complicated, which results in traffic problems of congestion and unsafety in the urban [1,2]. Besides the factor that rapid increment of vehicle amount, road sign is another key factor for traffic. Road signs are used to regulate traffic, warn drivers, and provide useful information to help make driving safe and convenient [3,4]. National guidelines set the detailed rules about the classification, appearance of road signs and where and how to install. The China national guideline of road traffic signs and markings was first released in 1986 [5]. Along with the development of traffic, the revisions were implemented in 1999 and 2009 [6,7]. The guidelines are the foundation Z. Huang et al. (Eds.): WISE 2013 Workshops 2013, LNCS 8182, pp. 429–438, 2014. © Springer-Verlag Berlin Heidelberg 2014
430 D. Xu et al.
of road sign setting and our main work is to verify whether the existing road signs obey the guidelines. One challenge for road sign management is that road network and POI (point of interest) of China change frequently, which leads to the modification of road signs correspondingly [2]. Nowadays, management and maintenance of traffic sign system are mainly dependent on manual record and checking, which is a complex work for traffic management departments [8]. Human beings tend to make mistake in such repeated and heavy task. Therefore, it is necessary to develop a road sign management to maintain and update road signs automatically [9]. We are constructing a semantically-enabled syste
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