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Analyzing the Impact of Trucks on Traffic Flow Based on an Improved Cellular Automaton Model

Author

Listed:
  • Dewen Kong
  • Xiucheng Guo
  • Bo Yang
  • Dingxin Wu

Abstract

This paper aims to analyze the impact of trucks on traffic flow and propose an improved cellular automaton model, which considers both the performance difference between passenger cars and trucks and the behaviour change of passenger cars under the impact of trucks. A questionnaire survey has been conducted to find out whether the impact of trucks exists and how the behaviour of passenger car drivers changes under the impact of trucks. The survey results confirm that the impact of trucks exists and indicate that passenger car drivers will enlarge the space gap, decelerate, and change lanes in advance when they are affected. Simulation results show that traffic volume is still affected by percentages of trucks in the congestion phase in the proposed model compared with traditional heterogeneous cellular automaton models. Traffic volume and speed decrease with the impact of trucks in the congestion phase. The impact of trucks can increase traffic congestion as it increases. However, it has different influences on the speed variance of passenger cars in different occupancies. In the proposed model, the relative relationship of the space gap between car-following-truck and car-following-car is changeable at a certain value of occupancy, which is related to the impact of trucks.

Suggested Citation

  • Dewen Kong & Xiucheng Guo & Bo Yang & Dingxin Wu, 2016. "Analyzing the Impact of Trucks on Traffic Flow Based on an Improved Cellular Automaton Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-14, September.
    • Handle: RePEc:hin:jnddns:1236846
    DOI: 10.1155/2016/1236846
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    References listed on IDEAS

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    Cited by:

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    2. Yang, Kaidi & Roca-Riu, Mireia & Menéndez, Mónica, 2019. "An auction-based approach for prebooked urban logistics facilities," Omega, Elsevier, vol. 89(C), pages 193-211.
    3. Junyan Han & Xiaoyuan Wang & Huili Shi & Bin Wang & Gang Wang & Longfei Chen & Quanzheng Wang, 2022. "Research on the Impacts of Vehicle Type on Car-Following Behavior, Fuel Consumption and Exhaust Emission in the V2X Environment," Sustainability, MDPI, vol. 14(22), pages 1-15, November.
    4. Junyan Han & Xiaoyuan Wang & Gang Wang, 2022. "Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review," Sustainability, MDPI, vol. 14(13), pages 1-27, July.
    5. Yang, Zhiwei & Liu, Han & Chen, Xiaohong & Zhou, Jun & Yuan, Quan, 2025. "Discovering the origins of freight demand: An empirical investigation of spatial heterogeneity in the generation of heavy-duty truck trips," Transport Policy, Elsevier, vol. 164(C), pages 60-79.

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