Smart Mobility Digital Twin for Automated Driving: Design and Proof-of-Concept (2401.08654v1)
Abstract: During the past decade, smart mobility and intelligent vehicles have attracted increasing attention, because they promise to create a highly efficient and safe transportation system in the future. Meanwhile, digital twin, as an emerging technology, will play an important role in automated driving and intelligent transportation systems. This technology is applied in this paper to design a platform for smart mobility, providing large-scale route planning services. Utilizing sensing technologies and cloud/edge computing, we build a digital twin system model that reflects the static and dynamic objects from the real world in real time. With the smart mobility platform, we realize traffic monitoring and route planning through cooperative environment perception to help automated vehicles circumvent jams. A proof-of-concept test with a real vehicle in real traffic is conducted to validate the functions and the delay performance of the proposed platform.
- Z. Li, T. Yu, R. Fukatsu, G. K. Tran and K. Sakaguchi, “Proof-of-Concept of a SDN Based mmWave V2X Network for Safe Automated Driving,” 2019 IEEE Global Communications Conference (GLOBECOM), pp. 1-6, Waikoloa, HI, USA, 2019.
- C. Schwarz and Z. Wang, “The Role of Digital Twins in Connected and Automated Vehicles,” in IEEE Intelligent Transportation Systems Magazine, vol. 14, no. 6, pp. 41-51, Nov.-Dec. 2022.
- B. Wang, C. Zhang, M. Zhang, C. Liu, Z. Xie and H. Zhang, “Digital Twin Analysis for Driving Risks Based on Virtual Physical Simulation Technology,” IEEE Journal of Radio Frequency Identification, vol. 6, pp. 938-942, 2022.
- Z. Wang, K. Han and P. Tiwari, “Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections,” IEEE Trans. on Intelligent Vehicles, vol. 7, no. 2, pp. 198-209, June 2022.
- K. Zhang, J. Cao, S. Maharjan and Y. Zhang, “Digital Twin Empowered Content Caching in Social-Aware Vehicular Edge Networks,” IEEE Trans. on Computational Social Systems, vol. 9, no. 1, pp. 239-251, Feb. 2022.
- Z. Li, T. Yu, T. Suzuki, K. Sakaguchi, “Building an SDVN Framework for RSU-Centric Cooperative Perception with Heterogeneous V2X,” 2023 IEEE 20th Annual Consumer Communications & Networking Conference (CCNC), pp. 1-7, Las Vegas, NV, USA, Jan. 2023.
Collections
Sign up for free to add this paper to one or more collections.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
