A control theoretic formulation ofgreen driving strategies based on inter-vehicle communications

Yang, Hao; Jin, Wen-Long

doi:10.1016/j.trc.2014.01.016

Cited by 87 publications

(44 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…significant amount of research effort towards developing various environmentally sustainable strategies. Among these, eco-driving strategies such as vehicle speed limit control [3], fuel-efficient platooning [4], cooperative adaptive cruise control systems [5], and eco-routing [6], are deemed to be costeffective and potentially deployable in the near term. In addition, many eco-friendly applications and technologies have been well studied and highlighted in major research programs, such as the European Commission's ECOSTAND program [7] and the U.S. Department of Transportation's AERIS (Application for the Environment: Real-Time Information Synthesis) program [8].…”

Section: Introductionmentioning

confidence: 99%

Prediction-Based Eco-Approach and Departure at Signalized Intersections With Speed Forecasting on Preceding Vehicles

Hao

et al. 2019

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Prediction-Based Eco-Approach and Departure at Signalized Intersections With Speed Forecasting on Preceding Vehicles

Hao

et al. 2019

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

“…Ahn et al (2013) proposed an rolling-horizon individual CAV control strategy that minimizes fuel consumption and emission considering roadway geometries (e.g., grades). Yang and Jin (2014) proposed a vehicle speed control strategy to mitigate traffic oscillation and reduce vehicle fuel consumption and emission based on connected vehicle technologies. They found with only a 5 percent compliance rate, this control strategy can reduce traffic fuel consumption by up to 15 percent.…”

Section: Literature Reviewmentioning

confidence: 99%

Parsimonious shooting heuristic for trajectory design of connected automated traffic part I: Theoretical analysis with generalized time geography

Zhou

2017

Transportation Research Part B: Methodological

180

View full text Add to dashboard Cite

This paper studies a problem of controlling trajectories of a platoon of vehicles on a highway section with advanced connected and automated vehicle technologies. This problem is very complex because each vehicle trajectory is essentially an infinite-dimensional object and neighboring trajectories have complex interactions (e.g., car-following behavior). A parsimonious shooting heuristic algorithm is proposed to construct vehicle trajectories on a signalized highway section that comply with the boundary condition for vehicle arrivals, vehicle mechanical limits, traffic lights and vehicle following safety. This algorithm breaks each vehicle trajectory into a few segments that each is analytically solvable. This essentially decomposes the original hard trajectory control problem to a simple constructive heuristic. Then we slightly adapt this shooting heuristic algorithm to one that can efficiently solve the leading vehicle problem on an uninterrupted freeway. To study theoretical properties of the proposed algorithms, the time geography theory is generalized by considering finite accelerations. With this generalized theory, it is found that under mild conditions, these algorithms can always obtain a feasible solution to the original complex trajectory control problem. Further, we discover that the shooting heuristic solution is a generalization of the solution to the classic kinematic wave theory by incorporating finite accelerations. We identify the theoretical bounds to the difference between the shooting heuristic solution and the kinematic wave solution. Numerical experiments are conducted to verify the theoretical results and to draw additional managerial insights into the potential of trajectory control in improving traffic performance. In summary, this paper provides a methodological and theoretical foundation for advanced traffic control by optimizing the trajectories of connected and automated vehicles.

show abstract

“…The microscopic emission model CMEM is frequently used in studies for evaluation of emission levels, see e.g. Yang and Jin (2014), Lima et al (2013), Ma et al (2012) and Zhang et al (2011). Also, integrating CMEM with a microscopic traffic simulator for estimation of emission rates has been proven useful in several studies, see e.g.…”

Section: Exhaust Emission Modelsmentioning

confidence: 99%

Analysis of a cooperative variable speed limit system using microscopic traffic simulation

Grumert

Tapani

2015

Transportation Research Part C: Emerging Technologies

View full text Add to dashboard Cite

A control theoretic formulation ofgreen driving strategies based on inter-vehicle communications

Cited by 87 publications

References 28 publications

Prediction-Based Eco-Approach and Departure at Signalized Intersections With Speed Forecasting on Preceding Vehicles

Prediction-Based Eco-Approach and Departure at Signalized Intersections With Speed Forecasting on Preceding Vehicles

Parsimonious shooting heuristic for trajectory design of connected automated traffic part I: Theoretical analysis with generalized time geography

Analysis of a cooperative variable speed limit system using microscopic traffic simulation

Contact Info

Product

Resources

About