TrAcOn: A Traffic Accident Ontology for Identifying Accidents-Prone Areas in Senegal

Author:

Gaye Mouhamadou,Diop Ibrahima,Bakhoum Ana,Cissé Papa Alioune

Publisher

Springer International Publishing

Reference16 articles.

1. World Health Organization, Global status report on road safety 2018, Switzerland

2. Zhao, L., et al.: Ontologies for advanced driver assistance systems. In: The 35th Semantic Web & Ontology Workshop (SWO) (2015)

3. Zhao, L., et al.: An ontology-based intelligent speed adaptation system for autonomous cars. In: Supnithi, T., Yamaguchi, T., Pan, J., Wuwongse, V., Buranarach, M. (eds.) Semantic Technology. JIST 2014. LNCS, vol. 8943. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-15615-6_30

4. Pollard, E., Morignot, P., Nashashibi, F.: An ontology-based model to determine the automation level of an automated vehicle for co-driving. In: Proceedings of the 16th International Conference on Information Fusion. IEEE (2013)

5. Gao, H., Liu, F.: Estimating freeway traffic measures from mobile phone location data. Eur. J. Oper. Res. 229, 252–260 (2013)

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