Evolutionary Game and Simulation Analysis of Intelligent Connected Vehicle Industry With Cross-Border Collaborative Innovation

Tang, Jinhuan; Wu, Wanting; Zhao, Dan; Chen, Xi

doi:10.1109/access.2023.3245078

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…Since the optimization of energy management in this paper is focused on the minimal operational cost of energy system, the hydrogen fuel cell would be activated only when the system is in the emergent condition. The solver for the optimization of energy management is PSO (particle swarm optimization) algorithm [8,9]. Based on the information of residual energy in the BESS, PV generation, and load demand, the charging or discharging behaviour would be determined at each time slot by PSO algorithm.…”

Section: Management Strategymentioning

confidence: 99%

Enhancement of System Resilience for Islanded Microgrid with Clean Energy

Chen,

Zhu,

Chen

et al. 2024

E3S Web Conf.

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Enhancement of system resilience of microgrid is important when the system is operated in the islanded mode. The commonly used clean energy in microgrid is the intermittent renewable energy which would deteriorate the system resilience of microgrid. To solve this problem, the residual energy pre-served in the energy storage system is introduced in this paper to extend the time duration of fundamental load demand when the power outage is present. The experiment is implemented in the demo system in the campus of National Central University to verify the performance of proposed management strategy.

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Section: Management Strategymentioning

confidence: 99%

Enhancement of System Resilience for Islanded Microgrid with Clean Energy

Chen,

Zhu,

Chen

et al. 2024

E3S Web Conf.

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show abstract

“…In addition, the efficient use of manufacturing resources affects the efficiency of manufacturing and its capacity. Tang et al make full use of idle equipment resources to increase production capacity and achieve sustainable use of manufacturing resources [29]. Enterprises are recognizing the value of outsourcing and are calling on outsourcers to innovate in their products and processes.…”

Section: Literature Reviewmentioning

confidence: 99%

A Multi-Objective Site Selection Model Considering Service Utility and Capability Matching in Outsourcing Collaboration Mode

Tang,

Shu,

2024

IEEE Access

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With the development of advanced manufacturing models, collaborative manufacturing breaks down barriers to inter-enterprise and promotes the establishment of closer relationships between collaborative enterprises to facilitate outsourcing collaboration production in a more efficient way. Manufacturing enterprises can rely on the collaborative manufacturing platform for dynamic configuration based on the off-site manufacturing environment to provide customersatisfied products and services with customization, low cost and short delivery time. In the process of dynamic allocation of manufacturing resources，enterprises face challenges such as difficulty in controlling the quality of product, uncertain revenue and waste of idle equipments. In order to achieve sustainable dynamic site selection, the paper proposes a multiobjective site selection model that considers outsourcing collaboration manufacturing capability matching and enterprise profit maximization. The paper considers the outsourcing collaboration manufacturing capability of candidate sites and constructs a collaboration manufacturing capability matching framework based on the fuzzy quality function deployment (QFD). Then, the paper constructs the enterprise profit function by transforming the service utility into customer selection behavior through Logit function from multiple perspectives such as market demands, enterprise capacity and idle equipments. Finally, the SPEA2-MOPSO algorithm are proposed to solve the multi-objective site selection model and performs well in performance tests. The validity and feasibility of the method is verified in conjunction with an example study. This method can effectively help collaborative manufacturing enterprises to show the synergistic effect of "products and services" in the decision-making process of site selection, and realize the two-way satisfaction of enterprise profit and customer service.

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Vision based intelligent traffic light management system using Faster R‐CNN

Abbas,

Khan,

Zhu

et al. 2024

CAAI Trans on Intel Tech

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Transportation systems primarily depend on vehicular flow on roads. Developed countries have shifted towards automated signal control, which manages and updates signal synchronisation automatically. In contrast, traffic in underdeveloped countries is mainly governed by manual traffic light systems. These existing manual systems lead to numerous issues, wasting substantial resources such as time, energy, and fuel, as they cannot make real‐time decisions. In this work, we propose an algorithm to determine traffic signal durations based on real‐time vehicle density, obtained from live closed circuit television camera feeds adjacent to traffic signals. The algorithm automates the traffic light system, making decisions based on vehicle density and employing Faster R‐CNN for vehicle detection. Additionally, we have created a local dataset from live streams of Punjab Safe City cameras in collaboration with the local police authority. The proposed algorithm achieves a class accuracy of 96.6% and a vehicle detection accuracy of 95.7%. Across both day and night modes, our proposed method maintains an average precision, recall, F1 score, and vehicle detection accuracy of 0.94, 0.98, 0.96 and 0.95, respectively. Our proposed work surpasses all evaluation metrics compared to state‐of‐the‐art methodologies.

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Evolutionary Game and Simulation Analysis of Intelligent Connected Vehicle Industry With Cross-Border Collaborative Innovation

Cited by 4 publications

References 18 publications

Enhancement of System Resilience for Islanded Microgrid with Clean Energy

Enhancement of System Resilience for Islanded Microgrid with Clean Energy

A Multi-Objective Site Selection Model Considering Service Utility and Capability Matching in Outsourcing Collaboration Mode

Vision based intelligent traffic light management system using Faster R‐CNN

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