Green Light Optimal Speed Advisory: a C-ITS to improve mobility and pollution

Pariota, Luigi; Costanzo, Luca Di; Coppola, Angelo; D'Aniello, Claudio; Bifulco, Gennaro Nicola

doi:10.1109/eeeic.2019.8783573

Cited by 9 publications

(4 citation statements)

References 15 publications

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“…A standstill gap is a minimum gap to avoid the chance of collisions that all CVs must maintain, even if they come to a complete stop. Therefore, the target gap for the (𝑖 + 1) 𝑡ℎ follower CVs in a platoon (𝑔 (𝑖+1),𝑡𝑎𝑟 (𝑘 + 1)) can be written as, 𝑔 (𝑖+1),𝑡𝑎𝑟 (𝑘 + 1) = 𝑆 𝑖+1 (𝑘) × 𝑇 𝑔 + 𝑔 𝑠𝑡𝑎𝑛𝑑 (19) where, 𝑔 𝑠𝑡𝑎𝑛𝑑 denotes constant standstill distance. As (19) Now, we augment ( 18) and ( 20) to get the state dynamics for our MPC-based optimization,…”

Section: Speed Advisory For the Follower Cvs In The Platoonsmentioning

confidence: 99%

“…On the other hand, optimal speed advisory algorithms, that help CVs navigate through a signalized corridor efficiently in terms of reduced stopped delay, fuel consumption, and CO2 emission, have been studied extensively in the literature. Many studies referred to this type of algorithm as the Green Light Optimal Speed Advisory (GLOSA) algorithm [15][16][17][18][19][20]. For instance, Suzuki and Marumo [18] developed a GLOSA system that projects a green rectangle on the roadway through the head-up display of a GLOSA-enabled vehicle.…”

Section: Related Workmentioning

confidence: 99%

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Serverless Cloud-based Speed Advisory Application for Connected Vehicles – Case Study

Deng

Salek

Rahman

et al. 2022

Preprint

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In this study, we develop a real-time connected vehicle (CV) speed advisory application, which we refer to as “Serverless CloSA”, using commercial cloud services and present case studies for a signalized corridor for different roadway traffic conditions. First, we develop a highly scalable serverless cloud computing architecture using Amazon Web Services (AWS) to support the requirements of a real-time CV application. Second, we develop an optimization-based real-time CV speed advisory algorithm that is deployable in the cloud. Third, we develop a cloud-in-the-loop simulation testbed using AWS and an open-source microscopic roadway traffic simulator called Simulation of Urban Mobility (SUMO). Then, we conduct three case studies for three different roadway traffic conditions, i.e., low, medium, and high-density traffic. Our analyses show that Serverless CloSA can reduce the average stopped delays at signalized intersections in a corridor by 77% while reducing the aggregated risk of collision by 21% compared to the baseline scenario, i.e., no speed advisory for the CVs. Our experiments show an average end-to-end delay of 452 ms, which is well under the 1000 ms delay threshold of real-time CV mobility applications. Thus, this study also demonstrates the feasibility of deploying a real-time CV mobility application using commercial cloud services.

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Section: Speed Advisory For the Follower Cvs In The Platoonsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Serverless Cloud-based Speed Advisory Application for Connected Vehicles – Case Study

Deng

Salek

Rahman

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Therefore, it is considered that it is acceptable to assume that the maximum value of F max eng as a constant at the first stage of this research. The constraints (7) and ( 8) yield the mode-switching logic of the vehicle.…”

Section: Constraintsmentioning

confidence: 99%

“…The development of advanced fuel reduction strategies are expected to reduce fuel consumption and air pollution caused by the transportation systems. Extensive research has been conducted to reduce the fuel consumption and emissions [2][3][4][5][6][7]. The fuel economy of a vehicle with an internal combustion engine (ICE) depends not only on the performance of the powertrain, but also on the driving practice of the vehicle.…”

Section: Introductionmentioning

confidence: 99%

Fuel consumption reduction effect of pre-acceleration before gliding of a vehicle with free-wheeling

Cao

Kawabe²,

Yuno³

et al. 2022

Control Theory Technol.

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Advanced fuel economy strategies are expected to reduce the fuel consumption of vehicles. An internal combustion engine (ICE) driving vehicle equipped with free-wheeling turns off the fuel injection and decouples the engine from the drivetrain when the driving force is not required. This paper proposes a method to reduce the fuel consumption of a vehicle equipped with free-wheeling. First, an optimization problem is formulated to minimize the fuel consumption of a vehicle with freewheeling when the traveling distance, the initial and final speed are specified and the vehicle needs to glide before arriving at the end point for fuel economy. The speed profile of the vehicle, engine operating point, and engine on/off timing are obtained as the results of the optimization. The analytical and numerical analyses results demonstrate the effectiveness and the fuel-saving mechanism of the obtained speed profile. The main finding of the analyses is that rather than starting a gliding stage immediately after an acceleration or a constant speed stage, adding a pre-acceleration stage before the gliding stage is more fuel-economic under some conditions independent of the complexity of the vehicle model. The obtained speed profile including a pre-acceleration stage is applied to a driving scenario including traffic congestions. The results demonstrate the effectiveness of the pre-acceleration stage in reducing fuel consumption for a vehicle equipped with free-wheeling.

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Energy-Oriented Inter-Vehicle Distance Optimization for Heterogeneous E-Platoons

Caiazzo

Coppola

Petrillo

et al. 2021

Optimization and Data Science: Trends and Applications

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Green Light Optimal Speed Advisory: a C-ITS to improve mobility and pollution

Cited by 9 publications

References 15 publications

Serverless Cloud-based Speed Advisory Application for Connected Vehicles – Case Study

Serverless Cloud-based Speed Advisory Application for Connected Vehicles – Case Study

Fuel consumption reduction effect of pre-acceleration before gliding of a vehicle with free-wheeling

Energy-Oriented Inter-Vehicle Distance Optimization for Heterogeneous E-Platoons

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