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Editorial | Open Access

Envisioning the future of transportation: Inspiration of ChatGPT and large models

Xiaobo Qu1Hongyi Lin1Yang Liu2( )
School of Vehicle and Mobility, Tsinghua University, Beijing, 100084, China
Department of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg, SE-41296, Sweden
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References

 
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Liu, Y., Wu, F., Liu, Z., Wang, K., Wang, F., Qu, X., 2023. Can language models be used for real-world urban-delivery route optimization? Innov., 100520

 

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Communications in Transportation Research
Article number: 100103
Cite this article:
Qu X, Lin H, Liu Y. Envisioning the future of transportation: Inspiration of ChatGPT and large models. Communications in Transportation Research, 2023, 3: 100103. https://doi.org/10.1016/j.commtr.2023.100103

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Received: 20 July 2023
Revised: 20 September 2023
Accepted: 25 September 2023
Published: 19 October 2023
© 2023 The Authors.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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