Paper
16 February 2023 Urban transportation network allocation considering heterogeneous users in the context of carbon trading
Qian Sheng, Yugang Liu, Yu Zhan, Qing Wan, LinQiang Fan
Author Affiliations +
Proceedings Volume 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022); 1259134 (2023) https://doi.org/10.1117/12.2668745
Event: 6th International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 2022, Guangzhou, China
Abstract
Due to the large number of motor vehicles in urban road networks, serious traffic congestion and high proportion of road carbon emissions, failure to take effective measures to manage travel demand will result in waste of road resources and environmental pollution. Considering the complex variability of the actual road network and the heterogeneous characteristics of road travelers, this paper proposes a dynamic traffic network allocation model in the context of carbon trading. The model is a dual dynamic day-by-day model, which considers both the dynamic changes of road network traffic and the dynamic adjustment and changes of carbon quota consumption rate. After 600 days of dynamic evolution, the road network reaches the system optimal state while achieving user equilibrium. Meanwhile, the carbon emission reduction on the road transport network before and after the implementation of carbon trading scheme is compared and analyzed, and the overall carbon emission is reduced by 9.23%. This provides a scientific theoretical basis and a feasible solution for the carbon trading scheme in urban transportation demand management and guiding low-carbon travel.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qian Sheng, Yugang Liu, Yu Zhan, Qing Wan, and LinQiang Fan "Urban transportation network allocation considering heterogeneous users in the context of carbon trading", Proc. SPIE 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 1259134 (16 February 2023); https://doi.org/10.1117/12.2668745
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KEYWORDS
Carbon

Roads

Transportation

Analytical research

Mathematical modeling

Engineering

Industry

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