Optimizing freeway maximum gradient and slope length using specific power analysis of five- and six-axle articulated vehicles

Currently, six-axle articulated trucks on Chinese freeways exhibit lower climbing performance than the design vehicle specified in the 'Design Specification for Highway Alignment' (China). A simulative vehicle model for freeway longitudinal section design criteria was developed using specific power data collected from 1,758 tractor units listed on the Truck Home website. This study established a simulation scene using Trucksim software to model climbing on a single longitudinal slope section, it helped determine control values for the maximum longitudinal slope gradient/length based on equilibrium speed, and speed reduction. The research results show that 82.9% of tractor specific power data is concentrated between 6 to 9 kW/t, recommending the selection of a six-axle articulated truck with a specific power of 6.94 kW/t as the representative model for freeway longitudinal section design; there is a significant difference in specific power distribution between five-axle and six-axle articulated trucks, with the mode (6.14 kW/t) and mean (6.77 kW/t) specific power of five-axle articulated trucks both lower than the mode (6.92 kW/t) and mean (7.13 kW/t) specific power of six-axle articulated trucks. For freeways with design speeds of 120, 100, 80, and 60 km/h corresponding to unlimited lengths, the maximum longitudinal slopes are 2.0%, 2.5%, 3.0%, and 3.5% respectively. Except for the simulation condition with no limit on slope length, the recommended slope lengths for the other simulation conditions are reduced to varying degrees compared to the standard values, with the highest reduction reaching up to 33.75%.

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Publication Details

Journal
Digital Transportation and Safety
Published
2025-01-01
DOI
https://doi.org/10.48130/dts-0025-0002
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
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article

Optimizing freeway maximum gradient and slope length using specific power analysis of five- and six-axle articulated vehicles

Jin Xu, Zhi Yu, Xinglin Zhu, Gang Yi et al.
Digital Transportation and Safety
Vehicle Dynamics and Control Systems
article

Optimizing freeway maximum gradient and slope length using specific power analysis of five- and six-axle articulated vehicles

Jin Xu, Zhi Yu, Xinglin Zhu, Gang Yi, Jing-yang Mu, Congming Wang
article en

Abstract

Currently, six-axle articulated trucks on Chinese freeways exhibit lower climbing performance than the design vehicle specified in the 'Design Specification for Highway Alignment' (China). A simulative vehicle model for freeway longitudinal section design criteria was developed using specific power data collected from 1,758 tractor units listed on the Truck Home website. This study established a simulation scene using Trucksim software to model climbing on a single longitudinal slope section, it helped determine control values for the maximum longitudinal slope gradient/length based on equilibrium speed, and speed reduction. The research results show that 82.9% of tractor specific power data is concentrated between 6 to 9 kW/t, recommending the selection of a six-axle articulated truck with a specific power of 6.94 kW/t as the representative model for freeway longitudinal section design; there is a significant difference in specific power distribution between five-axle and six-axle articulated trucks, with the mode (6.14 kW/t) and mean (6.77 kW/t) specific power of five-axle articulated trucks both lower than the mode (6.92 kW/t) and mean (7.13 kW/t) specific power of six-axle articulated trucks. For freeways with design speeds of 120, 100, 80, and 60 km/h corresponding to unlimited lengths, the maximum longitudinal slopes are 2.0%, 2.5%, 3.0%, and 3.5% respectively. Except for the simulation condition with no limit on slope length, the recommended slope lengths for the other simulation conditions are reduced to varying degrees compared to the standard values, with the highest reduction reaching up to 33.75%.

Digital Transportation and SafetyVol. 4(1)
Xinjiang Agricultural University (CN), Chengdu Medical College (CN), Chongqing Jiaotong University (CN)
Sustainable cities and communities
Openalex Percentile: Top 95%
Vehicle Dynamics and Control Systems
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Optimizing freeway maximum gradient and slope length using specific power analysis of five- and six-axle articulated vehicles — Jin Xu, Zhi Yu, et al. · Digital Transportation and Safety (2025) | TGRS Research Map | TGRS