Road Speed Signatures from C-ITS messages

Moso, Juliet Chebet; Cormier, Stephane; Fouchal, Hacene; Cyril de Runz; Wandeto, John Mwangi; Hasnaa Aniss

dc.contributor.advisor
dc.contributor.author	Moso, Juliet Chebet
dc.contributor.author	Cormier, Stephane
dc.contributor.author	Fouchal, Hacene
dc.contributor.author	Cyril de Runz
dc.contributor.author	Wandeto, John Mwangi
dc.contributor.author	Hasnaa Aniss
dc.date.accessioned	2021-08-11T07:08:10Z
dc.date.available	2021-08-11T07:08:10Z
dc.date.issued	2021-08-11
dc.identifier.citation	J. C. Moso, S. Cormier, H. Fouchal, C. de Runz, J. M. Wandeto and H. Aniss, "Road Speed Signatures from C-ITS messages," ICC 2021 - IEEE International Conference on Communications, 2021, pp. 1-6, doi: 10.1109/ICC42927.2021.9500949.	en_US
dc.identifier.isbn	978-1-7281-7122-7
dc.identifier.uri	http://repository.dkut.ac.ke:8080/xmlui/handle/123456789/4804
dc.identifier.uri	DOI: 10.1109/ICC42927.2021.9500949
dc.description.abstract	Cooperative Intelligent Transport Systems(C-ITS) focus on improving safety, comfort, traffic and energy efficiency. Vehicle speed and other speed based indicators are commonly used parameters in traffic research for generation of driving profiles. The main goal for studying speed variation is to gain a better understanding on why drivers respond in certain ways to road/traffic conditions and to discover factors which affect their actions. The aim of this paper is to use a real data-set of Cooperative Awareness Messages generated in a naturalistic driving C-ITS environment to generate speed signatures. We apply a segmentation technique and statistical analysis in generation and evaluation of road speed signatures. Based on our approach, interesting characteristics on the evolution of driving behavior are revealed.	en_US
dc.language.iso	en	en_US
dc.publisher	EEE International Conference on Communications	en_US
dc.title	Road Speed Signatures from C-ITS messages	en_US
dc.type	Article	en_US