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http://dx.doi.org/10.7840/kics.2014.39B.8.544

Design and Implementation of Green Light Optimal Speed Advisory Based on Reference Mobility Models (GLOSA-RMM) in Cyber-Physical Intersection Systems (CPIS)  

Jeong, Han-You (Institute of Logistics IT, Pusan National University)
Suramardhana, Tommy Adhyasa (Department of Big Data, Pusan National University)
Nguyen, Hoa-Hung (Department of Big Data, Pusan National University)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.39B, no.8, 2014 , pp. 544-554 More about this Journal
Abstract
In this paper, we introduce a cyber-physical intersection systems (CPIS) which intimately interconnects roadside units (RSU) located at intersection, on-board units (OBU) of moving vehicles, and smartphone apps. Based on the architecture of CPIS, we also present a green light optimal speed advisory based on the reference mobility models (GLOSA-RMM) to reduce intersection stopping time (IST) and fuel consumption. Based on several reference mobility models, the GLOSA-RMM determines the appropriate speed advisory by taking into account the current mobility and the intersection traffic light status, and then provides screen/voice GLOSA instructions to minimize the driver's distraction. We show that the GLOSA-RMM can reduce both the IST and the fuel consumption through the numerical results obtained from the prototype of the CPIS consisting of the OBU, the RSU and the smartphone app.
Keywords
Cyber-physical intersection system (CPIS); green light optimal speed advisory (GLOSA); reference mobility model; intersection stopping time;
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