Planning city-wide delivery paths for periodical logistics tasks in smart supply chains

Peng, Gaoxian; Wen, Yiping; Li, Tiancai; Chen, Aimin; Zhao, Yijiang

doi:10.1007/s11276-023-03491-6

Cited by 2 publications

(2 citation statements)

References 36 publications

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“…This has led to the proposal of IoT-based blockchain logistic systems for the tracking and efficient management of high-value shipments, ensuring data accuracy and reliability (Balfaqih et al, 2023). This allows optimization of loading and unloading, departures and arrivals, reducing the number of vehicles, and regrouping shipments and deliveries in multimodal environments, as well as reorganizing delivery and pickup areas through knowledge gained from historical data (Peng et al, 2023). Due to the complex topology of urban road networks and the dynamic change of traffic data, establishing a space-time model to accurately predict traffic volume remains a challenging task today (Yu et al, 2023).…”

Section: Emissions Reduction and Sustainabilitymentioning

confidence: 99%

“…Use of CPS for energy-efficient buildings and infrastructure in smart cities Pandiyan et al, 2023;Yang et al, 2023;Sulaiman et al, 2023;Li & Tan, 2023;Dutta et al, 2023;Balfaqih et al, 2023;Peng et al, 2023;Yu et al, 2023;Wenting Li et al, 2023; CPS-based approaches for intelligent transportation planning and management CPS-enabled smart grid solutions for transportation electrification and energy management in smart cities…”

Section: Emissions Reduction and Sustainabilitymentioning

confidence: 99%

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Neurotechnologies Applied to Society's Perception of Cyber-Physical Systems (CPS) in Smart Cities

Juárez-Varón,

Gaón,

Mengual-Recuerda

et al. 2024

International Journal on Semantic Web and Information Systems

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This study aims to quantify the perception of value and acceptance by citizens of the use of cyber-physical systems (CPS) in transportation systems and smart cities using neurotechnologies. The work has been developed in the main cities of the following Latin American countries: Spain, Ecuador, Colombia, and Argentina. Targeting urban, public transport-using graduates, it assesses CPS in smart cities and user experiences. Triangulating qualitative research and neurotechnology, the study extends the taxonomy of emotional domains. The results indicate that users do not always assign equivalent importance to what they truly feel, and it is noteworthy that the most important factor, both quantitatively and emotionally, is the application of CPS to improve efficiency in public transportation. The implications of these analyses are discussed in the final part of the article with the aim of providing recommendations to policymakers on the key aspects to be considered in the design and development of CPS for use in smart cities.

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Section: Emissions Reduction and Sustainabilitymentioning

confidence: 99%

Section: Emissions Reduction and Sustainabilitymentioning

confidence: 99%

Neurotechnologies Applied to Society's Perception of Cyber-Physical Systems (CPS) in Smart Cities

Juárez-Varón,

Gaón,

Mengual-Recuerda

et al. 2024

International Journal on Semantic Web and Information Systems

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Edge intelligence empowered delivery route planning for handling changes in uncertain supply chain environment

Peng,

Wen,

Dou

et al. 2024

J Cloud Comp

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Traditional delivery route planning faces challenges in reducing logistics costs and improving customer satisfaction with growing customer demand and complex road traffic, especially in uncertain supply chain environment. To address these challenges, we introduce an innovative two-phase delivery route planning method integrating edge intelligence technology. The novelty of our approach lies in utilizing edge computing devices to monitor real-time changes in road conditions and dynamically adjust delivery routes, thereby providing an effective solution for efficient and flexible logistics. Initially, we construct a mixed-integer programming model that minimizes the total cost under constraints such as customer destinations and time windows. Subsequently, in the cloud-edge collaborative mode, edge computing devices are utilized to collect real-time road conditions and transmit it to the cloud server. The cloud server comprehensively considers customer demand and road condition changes and employs adaptive genetic algorithms and A-star algorithms to adjust the delivery routes dynamically. Finally, comprehensive experiments are conducted to validate the effectiveness of our method. The results demonstrate that our approach can promptly respond to changes in customer demands and road conditions and flexibly plan the optimal delivery routes, thereby significantly reducing overall costs and enhancing customer satisfaction.

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Planning city-wide delivery paths for periodical logistics tasks in smart supply chains

Cited by 2 publications

References 36 publications

Neurotechnologies Applied to Society's Perception of Cyber-Physical Systems (CPS) in Smart Cities

Neurotechnologies Applied to Society's Perception of Cyber-Physical Systems (CPS) in Smart Cities

Edge intelligence empowered delivery route planning for handling changes in uncertain supply chain environment

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