Task Scheduling of Real-Time Traffic Information Processing Based on Digital TwinsShow others and affiliations
2023 (English)In: IEEE Transactions on Intelligent Transportation Systems, ISSN 1524-9050, E-ISSN 1558-0016, Vol. 24, no 11, p. 13171-13179Article in journal (Refereed) Published
Abstract [en]
The Intelligent Transportation System under Digital Twins can provide accurate data sources for traffic control. The present work focuses on the real-time information processing and task scheduling problems of the Internet of Vehicles (IoV) system based on Virtual Reality. They are the Quality/Distance Algorithm (QDA), Task Density Algorithm, Distance Balance Algorithm (DBA), and Bionic-DBA (B-DBA). The simulation experiment analysis suggests that the DBA algorithm takes the balance of travel distance into account and effectively improves task quality. The Utility Function in B-DBA and the Biological Heuristic Search Algorithm in Pareto Ant Colony Optimization play a critically important role in enhancing the overall task quality. In addition, a Transmission based on Privacy Protection (TPP) algorithm is designed to protect the attribute-based privacy information in the traffic information transmission system. This algorithm ensures that the real-time traffic information processing system resists various attacks from malicious nodes. It has been verified that when the number of selfish nodes accounts for 30%, the transmission efficiency of the TPP algorithm reaches 0.77. The research content has a practical reference value for providing users with continuous and high-quality IoV network services. IEEE
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023. Vol. 24, no 11, p. 13171-13179
Keywords [en]
Data models, Digital twins, information processing, Intelligent transportation systems, Real-time systems, real-time traffic, Roads, Solid modeling, Task analysis, task scheduling, Transportation, virtual reality, Ant colony optimization, Bioinformatics, Heuristic algorithms, Intelligent systems, Interactive computer systems, Multitasking, Quality control, Scheduling algorithms, Data-source, Distance balance, Real - Time system, Real-time traffic information, Realtime traffic, Road, Solid modelling, Tasks scheduling, Real time systems
National Category
Energy Engineering Computer Sciences Discrete Mathematics
Identifiers
URN: urn:nbn:se:uu:diva-485520DOI: 10.1109/TITS.2022.3196166ISI: 000842752200001Scopus ID: 2-s2.0-85136886732OAI: oai:DiVA.org:uu-485520DiVA, id: diva2:1698617
2022-09-252022-09-252025-02-21Bibliographically approved