Ecological driving on multiphase trajectories and multiobjective optimization for autonomous electric vehicle platoon

Tang, Xin

doi:10.1038/s41598-022-09156-2

Cited by 7 publications

(4 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To obtain the optimal control effect, there are many algorithms and strategies to optimize the parameters of the MPC control framework. The existing MPC tuning methods are generally divided into two categories 30 , 31 . The first method is to obtain analytical expressions by simplifying the process description or process model to some extent, and to add some parameter adjustments.…”

Section: The Control Algorithm Of the Cutting Tobacco Drying Processmentioning

confidence: 99%

Multi-objective predictive control based on the cutting tobacco outlet moisture priority

Fan

Ren

Chen³

2023

Sci Rep

View full text Add to dashboard Cite

In this paper, we propose a new priority multi-objective optimization strategy of system output variables in cutting tobacco process. The proposed strategy focuses on the cutting tobacco moisture-controlled output variables optimization in feasible regions with two levels according to the priority. This study aims to provide a novel technical support for the chemical industry contained drying process. In order to alleviate the lack of degree of freedom of the system, strict set-point control is given, meanwhile, other output variables adopt zone control. Firstly, the system control output variables are optimized in ascending order of priority. Secondly, the specific lower-level target constraints are first relaxed. Finally, the relaxation of other high-priority target constraints is stopped when the optimization is feasible. Thus, the system control output variables move along the optimal target trajectory. From the perspective of practical application of engineering, under the condition of disturbance existing in the cutting tobacco drying process, the simulation shows that the proposed approach has good robustness when there is disturbance, and the previous method cannot meet the control requirement. The proposed strategy meanwhile has better tracking effect through single and multiple output variables simulation, which compared with traditional predictive control in real cutting tobacco drying process.

show abstract

Section: The Control Algorithm Of the Cutting Tobacco Drying Processmentioning

confidence: 99%

Multi-objective predictive control based on the cutting tobacco outlet moisture priority

Fan

Ren

Chen³

2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The imminent challenges relevant to the implementation and utilization of autonomous mobility (AM) in daily life remain a global concern, raising interest from industrial and academic experts to address specific uncertainties. Autonomous vehicles (AVs) gained momentum in the research and adoption process, as they are advantageous over conventional vehicles in aspects of energy efficiency [1,2], reduction in emissions from driving toward a climate-neutral environment [3][4][5], and the declension of road fatalities [6][7][8]. The progress toward autonomous mobility in a global perspective is considered achievable by 2050.…”

Section: Introductionmentioning

confidence: 99%

A National Innovation System Concept-Based Analysis of Autonomous Vehicles’ Potential in Reaching Zero-Emission Fleets

Venkatesh,

Raslavičius

2024

Technologies

View full text Add to dashboard Cite

Change management for technology adoption in the transportation sector is often used to address long-term challenges characterized by complexity, uncertainty, and ambiguity. Especially when technology is still evolving, an analysis of these challenges can help explore different alternative future pathways. Therefore, the analysis of development trajectories, correlations between key system variables, and the rate of change within the entire road transportation system can guide action toward sustainability. By adopting the National Innovation System concept, we evaluated the possibilities of an autonomous vehicle option to reach a zero-emission fleet. A case-specific analysis was conducted to evaluate the industry capacities, performance of R&D organizations, main objectives of future market-oriented reforms in the power sector, policy implications, and other aspects to gain insightful perspectives. Environmental insights for transportation sector scenarios in 2021, 2030, and 2050 were explored and analyzed using the COPERT v5.5.1 software program. This study offers a new perspective for road transport decarbonization research and adds new insights to the obtained correlation between the NIS dynamics and achievement of sustainability goals. In 2050, it is expected to achieve 100% carbon neutrality in the PC segment and ~85% in the HDV segment. Finally, four broad conclusions emerged from this research as a consequence of the analysis.

show abstract

“…To enhance the model applicability, two eco-driving advisory strategies grounded on the devised optimal control model were proposed. Tang et al 28 introduced an ecological driving technique along multiphase trajectories for autonomous electric vehicles utilizing the pseudospectral method and V2V technologies.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Control Method Combining Signal Control and Eco-Speed Guidance under Non-bus Lane Conditions in the Connected Environment

Li,

Ge,

Duan

et al. 2024

Preprint

View full text Add to dashboard Cite

The transit signal priority (TSP), as an effective method to address public transport operation issues, has been widely applied. With the continuous advancement of connected technology, research on developing bus priority strategies using vehicle-to-everything (V2X) technology is gaining increasing attention. However, existing studies on TSP mainly focus on exclusive bus lanes, overlooking the adverse impact of private vehicle queues at intersections on bus priority strategies. To more effectively evaluate the optimization effect of bus priority under non-bus lane conditions, this paper proposes a cooperative control method combining signal control and eco-speed guidance in a connected environment. The objective is to maximize the reduction in delays for both buses and private vehicles at intersections and optimize carbon emission reduction. Initially, an Extended Kalman Filter (EKF) is employed to predict the arrival time of buses at intersections and the signal status. Building upon this, optimal timings for phase adjustments and the best bus trajectories are calculated using signal control and eco-speed guidance models. This approach aims to enhance bus operational efficiency while further lowering traffic carbon emissions. The effectiveness of the proposed model is verified using Zhengzhou city as a case study and compared against scenarios involving NTSP, TSP, and speed guidance. The results demonstrate that, in the absence of exclusive bus lanes, the proposed method not only ensures the stability of bus operations but also achieves significant bus priority and carbon emission benefits while mitigating the adverse impact of bus priority on private vehicles to a certain extent.

show abstract

Ecological driving on multiphase trajectories and multiobjective optimization for autonomous electric vehicle platoon

Cited by 7 publications

References 34 publications

Multi-objective predictive control based on the cutting tobacco outlet moisture priority

Multi-objective predictive control based on the cutting tobacco outlet moisture priority

A National Innovation System Concept-Based Analysis of Autonomous Vehicles’ Potential in Reaching Zero-Emission Fleets

Cooperative Control Method Combining Signal Control and Eco-Speed Guidance under Non-bus Lane Conditions in the Connected Environment

Contact Info

Product

Resources

About