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


Vol. 39,  No. 8, pp. 544-554, Aug.  2014


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  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.

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  Cite this article

[IEEE Style]

H. Jeong, T. A. Suramardhana, H. Nguyen, "Design and Implementation of Green Light Optimal Speed Advisory Based on Reference Mobility Models (GLOSA-RMM) in Cyber-Physical Intersection Systems (CPIS)," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 8, pp. 544-554, 2014. DOI: .

[ACM Style]

Han-You Jeong, Tommy Adhyasa Suramardhana, and Hoa-Hung Nguyen. 2014. Design and Implementation of Green Light Optimal Speed Advisory Based on Reference Mobility Models (GLOSA-RMM) in Cyber-Physical Intersection Systems (CPIS). The Journal of Korean Institute of Communications and Information Sciences, 39, 8, (2014), 544-554. DOI: .

[KICS Style]

Han-You Jeong, Tommy Adhyasa Suramardhana, Hoa-Hung Nguyen, "Design and Implementation of Green Light Optimal Speed Advisory Based on Reference Mobility Models (GLOSA-RMM) in Cyber-Physical Intersection Systems (CPIS)," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 8, pp. 544-554, 8. 2014.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880