DocumentCode :
181958
Title :
Connected Vehicle Enabled Freeway Merge Assistance system-field test: Preliminary results of driver compliance to advisory
Author :
Hayat, Md Tanveer ; Hyungjun Park ; Smith, Brittany L.
Author_Institution :
Dept. of Civil & Environ. Eng., Univ. of Virginia, Charlottesville, VA, USA
fYear :
2014
fDate :
8-11 June 2014
Firstpage :
1017
Lastpage :
1022
Abstract :
The Connected Vehicle enabled Freeway Merge Assistance system is developed by the University of Virginia Center for Transportation Studies, with the aim of reducing conflicts between merging vehicles in freeway ramp area. Initial simulation evaluation results showed that the merge assistance system has significant potential to increase capacity of freeway merge areas and reduce accidents by minimizing the number of conflicts between vehicles. As a next step of evaluation, a field test is conducted at a Connected Vehicle test bed to investigate drivers´ response to the personalized advisories relayed by this system. This paper provides an overview of the field test methodology, system architecture, stated preference survey and presents preliminary results for this prototype freeway merge assistance system developed for the Connected Vehicle Environment. The revealed and stated preference data gathered will be used to develop an advisory response model that will incorporate drivers´ response variability in the simulation evaluation framework of the freeway merge assistance system.
Keywords :
road safety; road traffic control; Center for Transportation Studies; University of Virginia; accident reduction; advisory response model; connected vehicle enabled freeway merge assistance system; connected vehicle test bed; driver compliance; driver response variability; field test methodology; freeway ramp area; personalized advisories; Educational institutions; Heuristic algorithms; Merging; Roads; Testing; Traffic control; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium Proceedings, 2014 IEEE
Conference_Location :
Dearborn, MI
Type :
conf
DOI :
10.1109/IVS.2014.6856608
Filename :
6856608
Link To Document :
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