21st century trucking: A trajectory for ergonomics and road freight

Bedinger, Melissa; Walker, Guy H.; Piecyk, Maja; Greening, Philip

doi:10.1016/j.apergo.2015.06.022

Cited by 15 publications

(9 citation statements)

References 43 publications

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“…The past decades have seen an increase of support systems in vehicles, including adaptive cruise control, lane departure warning, and automated emergency braking (Bedinger et al, 2016;Bengler et al, 2014;Tideman et al, 2007). Many vehicle manufacturers are now developing automated driving systems that control the vehicle using sensors, computers, and actuators.…”

Section: Discussionmentioning

confidence: 99%

The effect of steering-system linearity, simulator motion, and truck driving experience on steering of an articulated tractor-semitrailer combination

et al. 2018

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Steering systems of trucks consist of many linkages, which introduce nonlinearities that may negatively affect steering performance. Nowadays, it is possible to equip steering systems with actuators that provide artificial steering characteristics. However, before new steering systems are deployed in real vehicles, evaluation in a safe and controlled simulator environment is recommended. A much-debated question is whether experiments need to be performed in a motion-base simulator or whether a fixed-base simulator suffices. Furthermore, it is unknown whether simulator-based tests can be validly conducted with a convenience sample of university participants who have not driven a truck before. We investigated the effect of steering characteristic (i.e., nonlinear vs. linear) on drivers' subjective opinions about the ride and the steering system, and on their objective driving performance in an articulated tractor-semitrailer combination. Thirty-two participants (12 truck drivers and 20 university drivers) each completed eight 5.5-min drives in which the simulator's motion system was either turned on or off and the steering model either resembled a linear (i.e., artificial) or nonlinear (i.e., realistic) system. Per drive, participants performed a lane-keeping task, merged onto the highway, and completed four overtaking manoeuvers. Results showed that the linear steering system yielded less subjective and objective steering effort, and better lane-keeping performance, than the nonlinear system. Consistent with prior research, participants drove a wider path through curves when motion was on compared to when motion was off. Truck drivers exhibited higher steering activity than university drivers, but there were no significant differences between the two groups in lane keeping performance and steering effort. We conclude that for future truck steering systems, a linear system may be valuable for improving performance. Furthermore, the results suggest that on-centre evaluations of steering systems do not require a motion base, and should not be performed using a convenience sample of university students.

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Section: Discussionmentioning

confidence: 99%

The effect of steering-system linearity, simulator motion, and truck driving experience on steering of an articulated tractor-semitrailer combination

et al. 2018

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“…; Bedinger et al. ). The potential of support by AI applications in road transport is huge, with distance control and warning systems as obvious examples.…”

Section: Literature Reviewmentioning

confidence: 96%

“…Logistics companies take various measures to mitigate these aging effects through, for example, smart route planning and optimization (Verma and Verter 2010;Dondo and Cerd a 2015;Phan and Kim 2015;Gingerich et al 2016) and automation, but also by offering incentives to existing and new, young truck driver personnel. Another motivation to introduce AI applications is safety: not only the safety of other road users, but also working conditions of drivers themselves (Khorashadi et al 2005;Pattinson and Thompson 2014;Chen et al 2015aChen et al , 2015bPahukula et al 2015;Bedinger et al 2016). The potential of support by AI applications in road transport is huge, with distance control and warning systems as obvious examples.…”

Section: Transport Automationmentioning

confidence: 99%

Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction

Klumpp

Zijm

2019

J of Business Logistics

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Human–computer interaction (HCI) is a cornerstone for the success of technical innovation in the logistics and supply chain sector. As a major part of social sustainability, this interaction is changing as artificial intelligence applications (Internet of Things, autonomous transport, Physical Internet) are implemented, leading to larger machine autonomy, and hence the transition from a primary executive to a supervisory role of human operators. A fundamental question concerns the level of control transferred to machines, such as autonomous vehicles and automatic materials handling devices. Problems include a lack of human trust toward automatic decision making or an inclination to override the system in case automated decisions are misperceived. This paper outlines a theoretical framework, describing different levels of acceptance and trust as a key HCI element of technology innovation, and points to the possible danger of an artificial divide at both the individual and firm level. Based upon the findings of four benchmark cases, a classification of the roles of human employees in adopting innovations is developed. Measures at operational, tactical, and strategic level are discussed to improve HCI, more in particular the capacity of individuals and firms to apply state‐of‐the‐art techniques and to prevent an artificial divide, thereby increasing social sustainability.

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“…The high demand for freight transport contributes to an increase in the number of heavy goods vehicles (HGVs) on the roads. A transition from manual to fully automated freight transport is not expected before 2025-2030 [1]. Until that time, the driver is in control during complex maneuvers.…”

Section: Introductionmentioning

confidence: 99%

Conceptual Testing of Visual HMIs for Merging of Trucks

Dreger

Winter

Shyrokau

et al. 2019

Advances in Human Factors of Transportation

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Merging sections are challenging for drivers of heavy goods vehicles. Visual support for merging was evaluated in a simulator. Experiment 1 tested HMIs that provided participants (n = 5) driving on the on-ramp with a top view or various forms of speed advice for accelerating behind or in front of a truck platoon on the freeway. Experiment 2 tested HMIs that provided drivers (n = 18) on the acceleration lane with a top view complemented with speed and gap advice for finding a gap to merge in. Experiment 1 showed that speed advice yielded less unnecessary braking compared to unsupported driving. In Experiment 2, speed advice yielded low satisfaction ratings. Our results highlight the potential of visual support and stress the importance of not visually overloading the driver.

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21st century trucking: A trajectory for ergonomics and road freight

Cited by 15 publications

References 43 publications

The effect of steering-system linearity, simulator motion, and truck driving experience on steering of an articulated tractor-semitrailer combination

The effect of steering-system linearity, simulator motion, and truck driving experience on steering of an articulated tractor-semitrailer combination

Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction

Conceptual Testing of Visual HMIs for Merging of Trucks

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