Transformation and Development of Multi-vehicle Cooperative Operation and Transportation Technology Using Self-propelled Modular Transporters

doi:10.3981/j.issn.2097-0781.2025.02.010

Science and Technology Foresight ›› 2025, Vol. 4 ›› Issue (2): 130-143.DOI: 10.3981/j.issn.2097-0781.2025.02.010

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Transformation and Development of Multi-vehicle Cooperative Operation and Transportation Technology Using Self-propelled Modular Transporters

HE Yi¹(), WU Chaozhong¹, YU Rongjie²^,³^,^†(), WANG Libo⁴, HUANG Jin⁵, SUN Xiaoqiang⁶

1. Intelligent Transportation System Research Center, Wuhan University of Technology, Wuhan 430063, China
2. Department of Engineering and Materials Science, National Natural Science Foundation of China, Beijing 100085, China
3. School of Transportation, Tongji University, Shanghai 200092, China
4. Hubei Sanjiang Space Wanshan Special Vehicle Co., Ltd., Wuhan 430035, China
5. School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China
6. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China

Received:2024-12-20 Revised:2025-04-10 Online:2025-06-20 Published:2025-06-26
Contact: †

自行式模块运输车多车协同作业运输技术变革与发展

贺宜¹(), 吴超仲¹, 余荣杰²^,³^,^†(), 王力波⁴, 黄晋⁵, 孙晓强⁶

1.武汉理工大学智能交通系统研究中心，武汉 430063
2.国家自然科学基金委员会工程与材料科学部，北京 100085
3.同济大学交通运输工程学院，上海 200092
4.湖北三江航天万山特种车辆有限公司，武汉 430035
5.清华大学车辆与运载学院，北京 100084
6.江苏大学汽车工程研究院，镇江 212013

通讯作者: †
作者简介:贺宜，研究员，博士研究生导师。国家优秀青年科学基金获得者。主要从事重载车辆运行安全控制研究。电子信箱：heyi@whut.edu.cn。
余荣杰，同济大学交通学院教授，博士研究生导师。主要从事驾驶行为建模、道路交通安全风险预警与防控、自动驾驶汽车测评等研究。电子信箱：yurongjie@tongji.edu.cn。
基金资助:
国家自然科学基金(52322217)

Abstract

Abstract:

The extreme transportation capacity of thousand-ton or ten-thousand-ton-level sites reflects a country’s comprehensive scientific, technological, and national defense strength. The multi-vehicle collaborative transportation technology of self-propelled modular transporters (SPMT) is a key tool for completing large-scale engineering extreme transportation tasks. Currently, SPMTs face technical bottlenecks such as reliance on manual operation, low control accuracy, and poor collaborative efficiency, which hinder the efficiency and precision of major engineering transportation projects. This paper summarizes the development history, characteristics, current status, existing problems, and technical challenges of multi-vehicle collaborative transportation technology for SPMTs, based on both domestic and international progress. It proposes the following development suggestions: ① Develop a new generation of ten-thousand-ton-level extreme transportation capabilities through organized scientific research paradigms, positioning it as a national heavy-duty transportation tool. ② Overcome the challenges of distributed electric drive transportation technology and promote the green and intelligent transformation of SPMTs. ③ Build a virtual-real integrated testing system to break through the theoretical and core technological verification of swarm control. ④ Strengthen the top-level design of technological innovation to create a deep integration ecosystem involving government, industry, academia, and applications.

Key words: heavy-duty vehicles, heavy/oversized cargo transportation, multi-vehicle systems, collaborative control, policy recommendations

摘要：

千吨/万吨级场地极限运输能力体现了国家的综合科技和国防实力。自行式模块运输车（Self-propelled Modular Transporter, SPMT）多车协同作业运输技术是完成重大工程极限运输任务的重要手段。当前SPMT面临依赖人工作业、控制精度低、协同效率差等技术瓶颈，阻碍了重大工程作业运输效率及精度。文章基于国内外SPMT多车协同作业运输技术的发展历程及特点，总结了其发展现状、现存问题和技术挑战，并提出如下发展建议：通过有组织科研范式，打造新一代万吨级极限运输大国重器；攻克分布式电驱动运载技术，推动SPMT向绿色化智能化转型；构建虚实融合测试体系，突破集群控制理论和核心技术验证；加强科技创新顶层设计，打造政产学研用深度融合创新生态。

关键词: 重载车辆, 重载/超大件运输, 多车系统, 协同控制, 政策建议

HE Yi, WU Chaozhong, YU Rongjie, WANG Libo, HUANG Jin, SUN Xiaoqiang. Transformation and Development of Multi-vehicle Cooperative Operation and Transportation Technology Using Self-propelled Modular Transporters[J]. Science and Technology Foresight, 2025, 4(2): 130-143.

贺宜, 吴超仲, 余荣杰, 王力波, 黄晋, 孙晓强. 自行式模块运输车多车协同作业运输技术变革与发展[J]. 前瞻科技, 2025, 4(2): 130-143.

Figures/Tables 23

Fig. 1 Transportation of chemical tanks

Fig. 2 Transportation of nuclear power support rings

Fig. 3 Transportation of wind turbine blades

Fig. 4 Transportation of the 2 500 t monolithic beam for HZM bridge

Fig. 5 Transportation of the 2 000 t wind power substation jacket

Table 1 Parameter comparison for SPMTs at different stages

发展阶段	单轴载重/t	载重峰值/t （运输公司）	控制模式	控制精度		两模块组合时长/min
发展阶段	单轴载重/t	载重峰值/t （运输公司）	控制模式	角度/（°）	距离/m	两模块组合时长/min
人工遥控驾驶	10~20	—	人工遥控	±30	±0.5	30~40
单车智能控制	20~40	15 000 （Demag）	电子液压控制	±5	±0.1	10~15
多车协同控制	40~80	23 000 （Scheuerle）	智能控制	±1	±0.05	2~5

Fig. 6 Early SPMT carrier vehicle

Fig. 7 Transportation of the US space shuttle “Endeavour”

Fig. 8 Transportation of aircraft carrier’s bow

Fig. 9 Transportation of oil drilling platform

Fig. 10 Transportation of plant equipment using electric-drive SPMT

Fig. 11 Transportation of nacelle using electric-drive SPMT

Fig. 13 SPMT with power

Fig. 12 Flatbed trailer without power

Fig. 14 Transportation of HZM bridge section

Fig. 15 Transportation of chemical tanker

Fig. 16 Transportation of the 12 000 t undersea tunnel segment using SPMT and railcar

Fig. 17 Transportation of Sanyuan Bridge

Fig. 18 Relocation of a dynasty ancient building

Fig. 19 Transportation of Long March 12 launch vehicle

Table 2 Parameter comparison for SPMT from different countries

产品	WSZYZB3 湖北三江航天万山特种车辆有限公司	MSPE 70T 科梅托股份公司（Cometto S.p.A.）	PKEZ 舍尔勒车辆制造有限公司（Scheuerle Fahrzeugfabrik GmbH）	PST/SL-E 45 高尔多霍夫股份公司（Goldhofer Aktiengesellschaft）
最大轴载/t	60	70	60	45
最大重量/t	360	420	360	270
平台宽度/mm	2 430	2 430	2 430	3 000
平台高度/mm	1 500±350	1 500±350	1 500±350	1 300±300
满载速度/(km‧h^-1)	0~5	0~5	0~5	0~5
纵向爬坡能力（坡度）/%	6	6	6	6
横向爬坡能力（坡度）/%	4	4	4	4
单轴线驱动力/kN	160	160	160	120

Fig. 20 Crash caused by asynchronization between front and rear vehicles

Fig. 21 Crash caused by unstable center of gravity of vehicle and cargo

References 20

[1]	王之中, 余荣杰, 皮大伟. 顶层设计目标导向交叉融通服务未来:国家自然科学基金委员会交通与运载工程学科建设回顾与展望[J]. 前瞻科技, 2023, 2(3): 5-20.
	Wang Z Z, Yu R J, Pi D W. Top design, goal orientation, cross and integration, perspectiveness: review and prospect of the construction of transportation and vehicle engineering discipline by the National Natural Science Foundation of China[J]. Science and Technology Foresight, 2023, 2(3): 5-20. (in Chinese) DOI
[2]	王之中, 皮大伟, 吴兵. 从工程科学走向工程技术—新时期交通与运载工程学科发展与展望[J]. 交通运输工程学报, 2021, 21(5): 1-5.
	Wang Z Z, Pi D W, Wu B. From engineering science towards engineering technology: Development and prospect of transportation and vehicle engineering in new era[J]. Journal of Traffic and Transportation Engineering, 2021, 21(5): 1-5. (in Chinese)
[3]	贺宜, 余荣杰. 大件货物道路运输技术现状与展望[J]. 前瞻科技, 2023, 2(3): 106-117. DOI
	He Y, Yu R J. Current state and prospect of road transportation technology for oversized freights[J]. Science and Technology Foresight, 2023, 2(3): 106-117. (in Chinese) DOI
[4]	Yang X W, Wu C Z, He Y, et al. A novel distributed adaptive controller for parameters estimation in heterogeneous vehicle platooning with V2V communication[J]. IEEE Transactions on Intelligent Transportation Systems, 2025, 26(2): 1657-1670.
[5]	Yang X W, Wu C Z, He Y, et al. A dynamic rollover prediction index of heavy-duty vehicles with a real-time parameter estimation algorithm using NLMS method[J]. IEEE Transactions on Vehicular Technology, 2022, 71(3): 2734-2748.
[6]	He Y, Cai Z G, Wu C Z, et al. Dynamics modeling for modular distributed-drive vehicles with unknown parameters[J]. IEEE Transactions on Intelligent Vehicles, 2024, doi:10.1109/TIV.2024.3507858.
[7]	Cai Z G, Wu C Z, He Y, et al. A dynamics model for self-propelled modular transporter[C]// 2024 IEEE Intelligent Vehicles Symposium (IV). Piscataway: IEEE Press, 2024: 527-532.
[8]	Ho F, Higa R, Kato T, et al. A hierarchical approach for joint task allocation and path planning[J]. IEEE Robotics and Automation Letters, 2024, 9(11): 10137-10144.
[9]	Liu Q, Nie Z G, Gong Z, et al. An omnidirectional transportation system with high terrain adaptability and flexible configurations using multiple nonholonomic mobile robots[J]. IEEE Robotics and Automation Letters, 2023, 8(9): 6060-6067.
[10]	杨风艳, 徐学军, 王蒙, 等. 基于自行式液压模块化运输车的称重技术研究[J]. 中国修船, 2023, 36(5): 54-57.
	Yang F Y, Xu X J, Wang M, et al. Research on weighing technology of self-propelled modular transporters[J]. China Shiprepair, 2023, 36(5): 54-57. (in Chinese)
[11]	Ham S H, Roh M I. Dynamic analysis of block offloading using self-propelled modular transporters[J]. Automation in Construction, 2018, 96: 411-432.
[12]	Zhu H M, Du Z F, Xu D, et al. Optimization solutions for self-propelled modular transporter (SPMT) load-outs based on ballast simulation[J]. Ocean Engineering, 2020, 206, doi: 10.1016/j.oceaneng.2020.107355.
[13]	王建军. 布料车液压系统的消振研究[D]. 秦皇岛: 燕山大学, 2015.
	Wang J J. Study on vibration elimination of hydraulic system of distribution car[D]. Qinhuangdao: Yanshan University, 2015. (in Chinese)
[14]	杨俊. 港口大型多载AGV协同控制和路径规划方法研究[D]. 武汉: 武汉理工大学, 2021.
	Yang J. Research on cooperative control and path planning method of large-scale multi-load AGV in port[D]. Wuhan: Wuhan University of Technology, 2021. (in Chinese)
[15]	于永健. 基于SPMT船舶平移工艺方案设计及应用研究[D]. 大连: 大连理工大学, 2020.
	Yu Y J. Research on design and application of ship transportation technology scheme based on SPMT[D]. Dalian: Dalian University of Technology, 2020. (in Chinese)
[16]	Hou W Q, Liang S Y, Zhang T, et al. Low-carbon emission demolition of an existing urban bridge based on SPMT technology and full procedure monitoring[J]. Buildings, 2023, 13(6), doi: 10.3390/buildings13061379.
[17]	Kube C R, Zhang H. The use of perceptual cues in multi-robot box-pushing[C]// Proceedings of IEEE International Conference on Robotics and Automation. Piscataway: IEEE Press, 1996: 2085-2090.
[18]	卢玲霞. 基于SPMT的高速公路天桥拆建技术分析[J]. 交通世界, 2023(24): 170-173.
	Lu L X. Technical analysis of expressway overpass demolition and construction based on SPMT[J]. Transpo World, 2023(24): 170-173. (in Chinese)
[19]	Wu C Z, Cai Z G, He Y, et al. A review of vehicle group intelligence in a connected environment[J]. IEEE Transactions on Intelligent Vehicles, 2024, 9(1): 1865-1889.
[20]	雨日. 工程机械军团齐上阵助力北京三元桥“换骨”通车[J]. 今日工程机械, 2016(1): 16-17.
	Yu R. Construction machinery corps went into battle to help Beijing Sanyuan Bridge “change bones” open to traffic[J]. Construction Machinery Today, 2016(1): 16-17. (in Chinese)

Transformation and Development of Multi-vehicle Cooperative Operation and Transportation Technology Using Self-propelled Modular Transporters

自行式模块运输车多车协同作业运输技术变革与发展

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