Effects of route guidance strategies on traffic emissions in urban traffic networks

Wanning Zhang, Yaohui Chen, Kai Zhang and Bokui Chen
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Wanning Zhang: Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing, P. R. China
Yaohui Chen: Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing, P. R. China
Kai Zhang: Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing, P. R. China
Bokui Chen: Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing, P. R. China†Peng Cheng Laboratory, No. 2 Xingke 1st Street, Nanshan District, Shenzhen, P. R. China

International Journal of Modern Physics C (IJMPC), 2025, vol. 36, issue 02, 1-25

Abstract: Urban traffic emissions have significant environmental and health implications. Diverging from traditional research that primarily aims to improve traffic flow and efficiency, this study specifically focuses on the environmental impact on traffic emissions, conducting a comprehensive analysis within the Manhattan urban network through four route guidance strategies. The performance of these strategies is examined across various vehicle densities, and their impact on four traffic pollutant emissions (Carbon-dioxide, Nitrogen Oxides, Volatile Organic Compounds and Particulate Matter) is assessed. Moreover, our innovative approach analyzes emissions from the perspectives of both travel distance and trip frequency, placing special emphasis on trip frequency to provide practical insights with high real-world applicability. The results highlight the potential and limitation of the Congestion Coefficient Strategy. Under equal travel demands, the Congestion Coefficient Strategy showed promise in reducing carbon emissions. However, at lower vehicle densities, it led to a significant increase in emissions. This revelation pointed to the need for modifications to the strategy when applied in scenarios with lower traffic density. Recognizing this limitation, we introduced a modified strategy that achieved remarkable reductions in emissions across diverse vehicle densities, effectively overcoming the challenges posed by the original Congestion Coefficient Strategy. These findings offer valuable insights for policymakers and transportation planners in selecting optimal route guidance strategies to reduce pollutant emissions. Future studies will explore the efficacy of these strategies in road networks characterized by different topological configurations.

Keywords: Traffic simulation; cellular automaton model; Manhattan networks; traffic emissions (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0129183124501833

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