Multi-segment Green Light Optimal Speed Advisory

Seredynski, Marcin; Mazurczyk, Wojciech; Khadraoui, Djamel

doi:10.1109/ipdpsw.2013.157

Cited by 44 publications

(25 citation statements)

References 15 publications

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“…CO 2 emission is not emitted in this case. We also define the fitness function like to [6]. The fitness function is defined as a score to candidate solution to a given problem.…”

Section: An Efficient R-glosa Systemmentioning

confidence: 99%

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

Nguyen

Kim

Dang

et al. 2016

2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS)

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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 singlesegment and multi-segment GLOSA system.

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“…CO 2 emission is not emitted in this case. We also define the fitness function like to [6]. The fitness function is defined as a score to candidate solution to a given problem.…”

Section: An Efficient R-glosa Systemmentioning

confidence: 99%

“…The GLOSA has two basic approaches: single-segment and multi-segment approaches [6] [7]. To improve the GLOSA system, the driver-centric green light optimal speed advisory (DC-GLOSA) is proposed [8].…”

Section: Introductionmentioning

confidence: 99%

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

Nguyen

Kim

Dang

et al. 2016

2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS)

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“…In [33] a multi-segment GLOSA approach is proposed: a vehicle calculates a set of speed advisories (one speed per each segment) before entering the segment with the first signals on the vehicle's route. When a large number of segments is considered-the search space is far too big to be searched exhaustively in reasonable time.…”

Section: Green Light Optimal Speed Advisorymentioning

confidence: 99%

The emerging applications of intelligent vehicular networks for traffic efficiency

Seredynski¹,

Arnould²,

Khadraoui³

2013

Proceedings of the Third ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications

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Traffic efficiency if one of the key applications of the connected vehicle technology, which uses moving cars as nodes in a network to create a Vehicular Ad hoc Network (VANET). The nodes act as mobile traffic sensors. The technology holds promise for enhancing urban and highway mobility. It is cost-effective alternative to the existing fixed location traffic sensing technologies such as inductive-loop detectors and video image processing systems. In this paper we survey the emerging applications of VANETs for traffic efficiency. We considered green light speed advisory systems, adaptive traffic signals, virtual traffic signals, and cooperative traffic information systems. Topics for future research are suggested. We stress the fact, that due to rebound effects the improvements in traffic efficiency will result in additional vehicle travel (generated traffic). Although net congestion reductions will most likely be observed, it is important to account for rebound effects when evaluating initiatives related to traffic efficiency.

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“…C-ITS에서 각각의 자동차는 주변 자동차들의 주행 및 도로위험상황에 대한 정보를 자동차 통신을 통해 사전에 인지하여 이에 대비함으로써 도로 교통의 안 전성과 효율성을 획기적으로 향상할 수 있다 [5,6] . 해결하기 위한 연구들이 수행되었다 [7][8][9] . 우선, 단순한 등가속도 기반 GLOSA 알고리듬이 교차로 정지시간 및 연료 소모에 미치는 영향을 시뮬레이션으로 검증 하였다 [7] .…”

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“…우선, 단순한 등가속도 기반 GLOSA 알고리듬이 교차로 정지시간 및 연료 소모에 미치는 영향을 시뮬레이션으로 검증 하였다 [7] . 또한, 연속된 다수의 교차로 교통신호정보 를 기반으로 각 도로구간별 평균속도를 계산하는 유 전 알고리듬을 제시하였고 [8] , 도심의 도로환경에서 관 성 주행을 고려한 GLOSA 알고리듬의 CO2 배출량과 교차로 정지시간에 대한 결과를 시뮬레이션을 통해 도출하였다 [9] . 위의 연구들은 GLOSA 알고리듬이 제 2) UDP 인터페이스는 보행자들의 스마트폰에 교통신호상태 정 보를 방송하기 위해 사용한다 [11].…”

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

Jeong¹,

Suramardhana²,

Nguyen³

2014

The Journal of Korea Information and Communications Society

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Key Words : Cyber-physical intersection system (CPIS), green light optimal speed advisory (GLOSA), reference mobility model, intersection stopping time ABSTRACTIn 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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Multi-segment Green Light Optimal Speed Advisory

Cited by 44 publications

References 15 publications

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

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

The emerging applications of intelligent vehicular networks for traffic efficiency

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

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