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Two Layer Model and Algorithm of Traffic Network Design Based on Multi-sensor Fusion Technology

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The 2021 International Conference on Smart Technologies and Systems for Internet of Things (STSIoT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 122))

Abstract

This paper studies the optimization model and algorithm of the hybrid transportation network design problem considering sustainable development. The bi level programming model is used to describe the problem, and the link level decision variables are used to discretize the problem, and the algorithm is solved by the model. The example shows that the traffic congestion of the optimized transportation network is significantly alleviated, Moreover, the reduction of vehicle emissions in the road network is also very obvious. All these prove that the bi level programming model and algorithm proposed in this paper is an effective method to study the traffic network design problem in the environment of sustainable development.

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Correspondence to Jia Tan .

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Tan, J. (2023). Two Layer Model and Algorithm of Traffic Network Design Based on Multi-sensor Fusion Technology. In: Ahmad, I., Ye, J., Liu, W. (eds) The 2021 International Conference on Smart Technologies and Systems for Internet of Things. STSIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 122. Springer, Singapore. https://doi.org/10.1007/978-981-19-3632-6_83

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  • DOI: https://doi.org/10.1007/978-981-19-3632-6_83

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-3631-9

  • Online ISBN: 978-981-19-3632-6

  • eBook Packages: EngineeringEngineering (R0)

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