A robust optimization approach for platooning of automated ground vehicles in port hinterland corridors

Pourmohammad-Zia, Nadia; Schulte, Frederik; González-Ramírez, Rosa G.; Voß, Stefan; Negenborn, Rudy R.

doi:10.1016/j.cie.2023.109046

Cited by 13 publications

(3 citation statements)

References 44 publications

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“…At moment , the optimal solution sequence , optimal input control sequence , and optimal predicted trajectory sequence of the control problem are as follows: (36) All components of the sequences above satisfy the constraints from ( 24) to (32).…”

Section: ) Stability and Feasibility Analysismentioning

confidence: 99%

“…Fleet operation controllers have matured over decades of development. The main control methods currently include PID control [31], robust control [32], sliding mode control [33], machine learning [34], and model predictive control [35]. Compared with other control methods, model predictive control (MPC) is not only effective in overcoming the uncertainty and nonlinearity of fleet systems but also more convenient in dealing with various constraints on the system state variables and control variables.…”

Section: Introductionmentioning

confidence: 99%

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Sequential Distributed Model Predictive Control for Automated Mining Fleet

Wang,

Yang

2023

IEEE Access

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This work mainly focuses on fleet collaborative control for autonomous mining fleets. In this paper, we first developed a double-layer coupling model including the intersection platoon (IP) in the upper layer and the following platoon (FP) in the lower layer and unified the headway calculation and the structure of the control problem of the two types of platoons. Then, the constant time headway (CTH) spacing policy is implemented to ensure safety during fleet operation. Next, a controller based on the sequential distributed model predictive control (SEQ_DMPC) algorithm is proposed to solve the platoon control problem. To verify the proposed controller, we built a second-order electric truck longitudinal dynamics model as the actuators and verified the accuracy of the model. Next, we assume that all trucks are permitted to implement optimization simultaneously at each time step in the simulation and verify the platoon following stability based on the electric truck dynamic model. Finally, we simulated the fleet production process, and the results show that the proposed controller performs well in all aspects.

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Section: ) Stability and Feasibility Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sequential Distributed Model Predictive Control for Automated Mining Fleet

Wang,

Yang

2023

IEEE Access

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“…The Sulawesi corridor holds high potential in economic and social aspects and has a competitive advantage in sectors such as agriculture, marine fisheries, food crops, and trade. All of these potentials are highly prospective for promotion in both regional and international markets (Campisi et al, 2022;Chang et al, 2019;Pham & Lee, 2019;Pourmohammad-Zia et al, 2023;Raad et al, 2022;Tsao & Thanh, 2019;Wang & Peng, 2023).…”

Section: Introductionmentioning

confidence: 99%

Implementation of Dry Port: Feasibility Study in Jeneponto Regency

Amrin,

Shauqy,

Aulia

2023

j. il.adm.publik.

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This research was conducted to analyze the feasibility of Jeneponto Regency as a location for a Dry Port in South Sulawesi and the impact it has on the selection of the Dry Port location. This research used a qualitative descriptive method and SWOT analysis aimed at analyzing data such as geographic data, supporting infrastructure, economic and social aspects, regional characteristics, and local government policies regarding regional development. In addition, field surveys and interviews were conducted with relevant parties, including government agencies, private institutions, academics or practitioners, and other stakeholders. The results of this research indicate that Jeneponto Regency has the potential to be a strategic location for a Dry Port, with a recorded area of 749.79 km2. The planning for the development of the Jeneponto Regency Dry Port is located in the Bontorappo Village area, Tarowang District, with an available land area of 1.85 hectares. This region has good accessibility through the main road network and is close to the Port of Makassar, one of the busiest ports in South Sulawesi. Furthermore, the potential for economic and industrial growth in this regency also provides promising opportunities for Dry Port development. The related impacts on the selection of the Dry Port location are assessed in terms of economic impact, impact on the smooth flow of cargo handling, and impact on regional development. The SWOT analysis results indicate that the positioning falls within quadrant I, which means that the development strategy of the Dry Port in Jeneponto Regency, South Sulawesi Province, supports an aggressive growth-oriented strategy. This situation is highly advantageous for the policies to be implemented, where the strength of the strategic location for Dry Port development positively impacts the efficiency and speed of goods delivery, and the opportunities for Dry Port development will create new job opportunities and have significant economic benefits for the local area. Therefore, based on the positioning in quadrant I, the Dry Port project in Jeneponto Regency has a high potential for rapid growth.

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