The backward behavior of tractor-semitrailer vehicles is particularly challenging compared to passenger vehicles, causing many difficulties not only for drivers but also for autonomous driving. Offset backing, which is one of the most important backward scenarios for articulated vehicles, can be applied to various path planning in a confined space, such as parking, and can be used for Advanced Driver Assistance Systems (ADAS) and autonomous driving. First of all, by analyzing the slow movement of a tractor-semitrailer vehicle in a confined space, standard unit motions and compound motions for general posture adjustment were defined. By approximating the offset backing driving paths of expert tractor-semitrailer drivers with a geometric method, qualitative path planning was completed by combining compound and unit motions. In addition, complementary motions were added to respond to errors that occur due to the simplicity of the qualitative path planning based on the geometric method. The usefulness of the developed offset backing path planning for tractor-semitrailer vehicles was demonstrated through repeated experimental tests with a model autonomous vehicle.
MarcelJ. Energy, transport and environment indicators–2017 edition. Luxembourg: Publications Office of the European Union, 2017; KS-DK-17-001.
2.
XiaGZhaoMTangX, et al. Linear reversing control of semi-trailer trains based on hitch angle stable and feasible domain. Control Eng Pract2020; 104: 104625.
3.
JogiAChandramohanS. Kinematic analysis of tractor-semitrailer with split fifth wheel coupling during low speed turning maneuvers. SAE Int J Commer Veh2017; 10: 582–588.
4.
ChenYZhengXPetersonA, et al. Simulation evaluation on the rollover propensity of multi-trailer trucks at roundabouts. SAE technical paper 2020-015005, 2020.
5.
HanI. Sensitivity analysis and improvement of the rollover propensity of large articulated vehicles on roundabouts using design of experiments. SAE Int J Commer Veh2023; 16: 141–151.
6.
ShahR. Automated reverse docking of tractor-trailer using infrastructure-based sensing experimentally tested with a full-scale tractor-trailer. Master of Science, Pennsylvania State University, University Park, PA, USA, 2019.
7.
RohJChungW. Driver assistance system for backward motion control of a car with a trailer. J Korea Rob Soc2010; 5: 286–293.
8.
ChungWYooK. Backward-motion control of multiple off-hooked trailers using a car-like mobile robot. J Korea Rob Soc2009; 4: 273–280.
9.
ElliottJ. Dynamics modeling and control of multi-segment passively-articulated autonomous wheeled vehicles. PhD Dissertation, Dartmouth College, New Hampshire, USA, 2022.
10.
YueMHouXGaoR, et al. Trajectory tracking control for tractor-trailer vehicles: a coordinated control approach. Nonlinear Dyn2018; 91: 1061–1074.
11.
WidyotriatmoANazaruddinYYPutrantoMRF, et al. Forward and backward motions path following controls of a truck-trailer with references on the head-truck and on the trailer. ISA Trans2020; 105: 349–366.
12.
LengZMinorMA. A simple tractor-trailer backing control law for path following with side-slope compensation. In: International conference on robotics and automation, Shanghai, China, 9–13 May 2011, pp.2386–2391. New York: IEEE.
13.
ZanchettaMTaverniniDSorniottiA, et al. Trailer control through vehicle yaw moment control: theoretical analysis and experimental assessment. Mechatronics2019; 64: 102282.
14.
HanI. Analysis of vehicle collision accidents based on qualitative mechanics. Forensic Sci Int2018; 291: 53–61.
15.
UttendorfSEilertBOvermeyerL. A fuzzy logic expert system for the automated generation of roadmaps for automated guided vehicle systems. In: International conference on industrial engineering and engineering management (IEEM), Bali, Indonesia, 4–7 December 2016, pp.977–981. New York: IEEE.
16.
NineJManoharanSHardtW. Concept of the comprehension level of situation awareness using an expert system. IOP Conf Ser Mater Sci Eng2021; 1019: 012103.
17.
BrownJHeYLangH. Quantifying drivers’ driving skills using closed-loop dynamic simulations of articulated heavy vehicles. Simul Model Pract Theory2020; 99: 102014.
18.
HanI. Path planning for perpendicular parking of large articulated vehicles based on qualitative kinematics and geometric methods. Vehicles2023; 5: 876–893.
19.
AAMVA. Commercial driver license manual. American Association of Motor Vehicle Administrators (AAMVA), 2005.
20.
ReedsJASheppLA. Optimal paths for a car that goes both forwards and backwards. Pac J Math1990; 145: 367–393.
21.
HanI. Geometric path plans for perpendicular/parallel reverse parking in a narrow parking spot with surrounding space. Vehicles2022; 4: 1195–1208.
WuTHungJY. Path following for a tractor-trailer system using model predictive control. In: SoutheastCon 2017, Concord, NC, USA, 30 March–2 April 2017, pp.1–5. New York: IEEE.
