An efficient and reliable Green Light Optimal Speed Advisory system for autonomous cars

Vandung Nguyen; Oanh Tran Thi Kim; Tri Nguyen Dang; Seung Il Moon; Choong Seon Hong

doi:10.1109/APNOMS.2016.7737260

An efficient and reliable Green Light Optimal Speed Advisory system for autonomous cars

Vandung Nguyen, Oanh Tran Thi Kim, Tri Nguyen Dang, Seung Il Moon, Choong Seon Hong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

31 Citations (Scopus)

Abstract

An autonomous car is a self-driving car that is to keep the human being out of the car and to relieve them from the task of driving. An autonomous car can make more convenient, safer, and less energy intensive. In addition, Green Light Optimal Speed Advisory (GLOSA) systems reduce the travel time and CO₂ emission. In this paper, we propose a novel GLOSA, called R-GLOSA system to support to autonomous cars. We assume that an autonomous car can access to all traffic light schedules that it will encounter on its route. The route is divided into each segment according to traffic lights. In each segment, an autonomous car can communicate to Road Side Units (RSUs) distributed among the road. An autonomous car collects the road information transmitted by an RSU and then, it optimizes speed in order to arrive at the intersection when the light is green. The R-GLOSA system provides an autonomous car with speed advisory for each RSU's coverage. The simulation results show that an autonomous car using R-GLOSA system outperforms in terms of travel time and waiting time compared to using single-segment and multi-segment GLOSA system.

Original language	English
Title of host publication	18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016
Subtitle of host publication	Management of Softwarized Infrastructure - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9784885523045
DOIs	https://doi.org/10.1109/APNOMS.2016.7737260
Publication status	Published - 7 Nov 2016
Event	18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016 - Kanazawa, Japan Duration: 5 Oct 2016 → 7 Oct 2016

Publication series

Name	18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016: Management of Softwarized Infrastructure - Proceedings

Conference

Conference	18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016
Country/Territory	Japan
City	Kanazawa
Period	5/10/16 → 7/10/16

Bibliographical note

Publisher Copyright:
© 2016 IEICE.

Keywords

Autonomous car
GLOSA
RSU
traffic light

Access to Document

10.1109/APNOMS.2016.7737260

Cite this

Nguyen, V., Kim, O. T. T., Dang, T. N., Moon, S. I., & Hong, C. S. (2016). An efficient and reliable Green Light Optimal Speed Advisory system for autonomous cars. In 18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016: Management of Softwarized Infrastructure - Proceedings Article 7737260 (18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016: Management of Softwarized Infrastructure - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APNOMS.2016.7737260

Nguyen, Vandung ; Kim, Oanh Tran Thi ; Dang, Tri Nguyen et al. / An efficient and reliable Green Light Optimal Speed Advisory system for autonomous cars. 18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016: Management of Softwarized Infrastructure - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. (18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016: Management of Softwarized Infrastructure - Proceedings).

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abstract = "An autonomous car is a self-driving car that is to keep the human being out of the car and to relieve them from the task of driving. An autonomous car can make more convenient, safer, and less energy intensive. In addition, Green Light Optimal Speed Advisory (GLOSA) systems reduce the travel time and CO2 emission. In this paper, we propose a novel GLOSA, called R-GLOSA system to support to autonomous cars. We assume that an autonomous car can access to all traffic light schedules that it will encounter on its route. The route is divided into each segment according to traffic lights. In each segment, an autonomous car can communicate to Road Side Units (RSUs) distributed among the road. An autonomous car collects the road information transmitted by an RSU and then, it optimizes speed in order to arrive at the intersection when the light is green. The R-GLOSA system provides an autonomous car with speed advisory for each RSU's coverage. The simulation results show that an autonomous car using R-GLOSA system outperforms in terms of travel time and waiting time compared to using single-segment and multi-segment GLOSA system.",

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author = "Vandung Nguyen and Kim, {Oanh Tran Thi} and Dang, {Tri Nguyen} and Moon, {Seung Il} and Hong, {Choong Seon}",

note = "Publisher Copyright: {\textcopyright} 2016 IEICE.; 18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016 ; Conference date: 05-10-2016 Through 07-10-2016",

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Nguyen, V, Kim, OTT, Dang, TN, Moon, SI & Hong, CS 2016, An efficient and reliable Green Light Optimal Speed Advisory system for autonomous cars. in 18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016: Management of Softwarized Infrastructure - Proceedings., 7737260, 18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016: Management of Softwarized Infrastructure - Proceedings, Institute of Electrical and Electronics Engineers Inc., 18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016, Kanazawa, Japan, 5/10/16. https://doi.org/10.1109/APNOMS.2016.7737260

An efficient and reliable Green Light Optimal Speed Advisory system for autonomous cars. / Nguyen, Vandung; Kim, Oanh Tran Thi; Dang, Tri Nguyen et al.
18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016: Management of Softwarized Infrastructure - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7737260 (18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016: Management of Softwarized Infrastructure - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - An autonomous car is a self-driving car that is to keep the human being out of the car and to relieve them from the task of driving. An autonomous car can make more convenient, safer, and less energy intensive. In addition, Green Light Optimal Speed Advisory (GLOSA) systems reduce the travel time and CO2 emission. In this paper, we propose a novel GLOSA, called R-GLOSA system to support to autonomous cars. We assume that an autonomous car can access to all traffic light schedules that it will encounter on its route. The route is divided into each segment according to traffic lights. In each segment, an autonomous car can communicate to Road Side Units (RSUs) distributed among the road. An autonomous car collects the road information transmitted by an RSU and then, it optimizes speed in order to arrive at the intersection when the light is green. The R-GLOSA system provides an autonomous car with speed advisory for each RSU's coverage. The simulation results show that an autonomous car using R-GLOSA system outperforms in terms of travel time and waiting time compared to using single-segment and multi-segment GLOSA system.

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Nguyen V, Kim OTT, Dang TN, Moon SI, Hong CS. An efficient and reliable Green Light Optimal Speed Advisory system for autonomous cars. In 18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016: Management of Softwarized Infrastructure - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7737260. (18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016: Management of Softwarized Infrastructure - Proceedings). doi: 10.1109/APNOMS.2016.7737260

An efficient and reliable Green Light Optimal Speed Advisory system for autonomous cars

Abstract

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Bibliographical note

Keywords

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