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Effects of Vehicle Load on Emissions of Heavy-Duty Diesel Trucks: A Study Based on Real-World Data

Author

Listed:
  • Xin Wang

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, 3 Shangyuancun, Haidian District, Beijing 100044, China)

  • Guohua Song

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, 3 Shangyuancun, Haidian District, Beijing 100044, China)

  • Zhiqiang Zhai

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, 3 Shangyuancun, Haidian District, Beijing 100044, China
    Department of Civil & Mineral Engineering, University of Toronto, 35 St. George Street, Toronto, ON M5S 1A4, Canada)

  • Yizheng Wu

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, 3 Shangyuancun, Haidian District, Beijing 100044, China)

  • Hang Yin

    (State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation (VECS), Chinese Research Academy of Environmental Sciences, 8 Dayang Fang, Chaoyang District, Beijing 100012, China)

  • Lei Yu

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, 3 Shangyuancun, Haidian District, Beijing 100044, China
    Department of Transportation Studies, Texas Southern University, 3100 Cleburne Avenue, Houston, TX 77004, USA
    School of Traffic and Transportation, Xuchang University, Xuchang 461000, China)

Abstract

Vehicle loads have significant impacts on the emissions of heavy-duty trucks, even in the same traffic conditions. Few studies exist covering the differences in emissions of diesel semi-trailer towing trucks (DSTTTs) with different loads, although these vehicles have a wide load range. In this context, the operating modes and emission rates of DSTTTs were analyzed under varying loads scenarios to understand the effect of vehicle loads on emission factors. First, second-by-second field speed data and emission data of DSTTTs with different loads were collected. Then, the methods for calculating the scaled tractive power (STP) and the emissions model for DSTTTs were proposed to evaluate the effect of different loading scenarios. The STP distributions, emission rate distributions, and emission factor characteristics of different loaded trucks were analyzed and compared. The results indicated that the STP distributions of DSTTTs that under the unloaded state were more narrow than those under fully loaded or overloaded conditions. The emission rates of carbon dioxide (CO 2 ), carbon monoxide (CO) and total hydrocarbon (THC) for DSTTTs under a fully loaded state were significantly higher than those under an unloaded state. However, due to the influence of exhaust temperature, the emission rates of nitrogen oxides (NO x ) among fully loaded trucks were lower than those under the unloaded state when STP bin was above 4 kW/ton. The emission factors of CO 2 , CO, THC, and NO x for fully loaded trucks demonstrated the largest increases at low-speed intervals (0–30 km/h), which rose by 96.2%, 47.9%, 27.8%, and 65.2%, respectively.

Suggested Citation

  • Xin Wang & Guohua Song & Zhiqiang Zhai & Yizheng Wu & Hang Yin & Lei Yu, 2021. "Effects of Vehicle Load on Emissions of Heavy-Duty Diesel Trucks: A Study Based on Real-World Data," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:8:p:3877-:d:531656
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    Citations

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    Cited by:

    1. Hu, Jiazhen & Shen, Xiaoyan & Wang, Shasha & Ma, Peifu & Liu, Chenxi & Sui, Xinyu, 2024. "Research on truck mass estimation based on long short-term memory network," Energy, Elsevier, vol. 307(C).
    2. Zhang, Lele & Ding, Pengyuan & Thompson, Russell G., 2023. "A stochastic formulation of the two-echelon vehicle routing and loading bay reservation problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    3. Artur Ryguła & Krzysztof Brzozowski, 2024. "A Study of Heavy Road Freight Transport in Poland in the Context of the Pursuit of Sustainable Road Transport," Sustainability, MDPI, vol. 16(21), pages 1-13, October.
    4. Barouch Giechaskiel & Tobias Jakobsson & Hua Lu Karlsson & M. Yusuf Khan & Linus Kronlund & Yoshinori Otsuki & Jürgen Bredenbeck & Stefan Handler-Matejka, 2022. "Assessment of On-Board and Laboratory Gas Measurement Systems for Future Heavy-Duty Emissions Regulations," IJERPH, MDPI, vol. 19(10), pages 1-16, May.
    5. Tronconi, Riccardo & Pilati, Francesco, 2025. "Social, economic and green optimization of the distribution process of e-commerce platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 196(C).
    6. Weinan He & Lei Duan & Zhuoyuan Zhang & Xu Zhao & Ying Cheng, 2022. "Analysis of the Characteristics of Real-World Emission Factors and VSP Distributions—A Case Study in Beijing," Sustainability, MDPI, vol. 14(18), pages 1-14, September.

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