Building on the past to help prepare the workforce for the future with automated vehicles: A systematic review of automated passenger vehicle deployment timelines

Agrawal, Shubham; Schuster, Amy M.; Britt, N. Wilson; Mack, Elizabeth A.; Tidwell, Michael L.; Cotten, Shelia R.

doi:10.1016/j.techsoc.2022.102186

Cited by 10 publications

(2 citation statements)

References 39 publications

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“…This research addresses a critical gap in the transport and shipping industry-the lack of comprehensive analysis on the impact of transport automation on labor force across different transport sectors. While there is existing sporadical literature on the subject focusing on each sector separately (Christidis et al, 2014;Goos, 2018;Chinoracký and Čorejová, 2019;ILO, 2020;Agrawal et al, 2023), this article aims to provide real-time data and perspectives from stakeholders in the industry, using a mixedmethod approach of focus groups (FGs), polls, and questionnaires to identify barriers, gaps, skills, opportunities, and success and failure factors of transport automation on the labor force.…”

Section: Introductionmentioning

confidence: 99%

Adapting to the future: examining the impact of transport automation and digitalization on the labor force through the perspectives of stakeholders in all transport sectors

Polydoropoulou

Thanopoulou

Karakikes

et al. 2023

Front. Future Transp.

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Automation in transport and digitalization will affect both transport users and its workforce. Focusing on the latter, this paper aims at analyzing barriers, gaps, opportunities, and success and failure factors of transport automation on the labor force, through the perceptions and contributions of employees and employers, as well as of stakeholders from the private, public, and private–public sectors. In a nutshell, the study aims to understand workforce-related barriers and facilitators associated with the implementation of automation. This has been achieved through input derived from the organization of five focus groups, one poll and one extensive questionnaire survey administered to the participants of the 2nd WE-TRANSFORM EU H2020 funded project Workshop, and to project partners’ stakeholder contacts. The analysis of the results indicated that the transport sector’s automation has been evolving at a different pace per sector. An interesting conclusion is that the challenges do not concern all categories among the workforce in the same way. Challenges related to loss of jobs and related repercussions are bound to affect groups within the workforce, which may be constrained by regulatory age limits, or vulnerable, if in part-time employment without access to retraining, which may be the case of workforce members near retirement age or of women limited due to family obligations to part-time employment. The study’s limitations are related to the size of the sample and how representative it is of all stakeholders in the transport sector, including policymakers, regulators, and unions. Future directions should focus on exploring the long-term impacts of automation on the labor force and identify strategies to mitigate the negative effects on vulnerable groups.

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Section: Introductionmentioning

confidence: 99%

Adapting to the future: examining the impact of transport automation and digitalization on the labor force through the perspectives of stakeholders in all transport sectors

Polydoropoulou

Thanopoulou

Karakikes

et al. 2023

Front. Future Transp.

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“…Either by simulation or field experiment, it is widely believed that CAV technology brings various benefits to the transportation system, such as improving traffic capacity (Talebpour and Mahmassani, 2016;Xiao et al, 2021;Zhou and Zhu, 2021), enhancing traffic safety (Papadoulis et al, 2019;Ye and Yamamoto, 2019), and reducing fuel consumption (Rios-Torres and Malikopoulos, 2018;Yao et al, 2021;Lu and Liu, 2021). Though there is a great potential benefit brought by CAVs, it may take at least 30 years for CAVs to become commercially available (Agrawal et al, 2023). During the transition period, CAVs and human-driven vehicles (HDVs) will coexist on the road.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Platooning Configurations for Connected and Automated Vehicles at an Isolated Roundabout in a Mixed Traffic Environment

Zhuo,

Zhu

2023

J. Int. Con. Veh.

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Platooning has emerged to be one of the most promising applications for connected and automated vehicles (CAVs). However, there is still limited research on the effect of platooning configurations. This study sets out to investigate the effect of CAV platoon configurations at a typical isolated roundabout in a mixed traffic environment. Investigated platoon configurations include maximum platoon size, platoon willingness, and platoon type. Extensive simulation experiments are carried out in simulation of urban mobility (SUMO), considering various traffic conditions, including different penetration rates, traffic flows, and turning percentages. Results show that: (1) increasing the maximum platoon size and platoon willingness generally improves the throughput increment and delay reduction; and (2) heterogeneous platoons outperform homogeneous platoons in all traffic conditions.

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Public Sector Integration of Connected and Automated Vehicles: Considerations, Benefits and Sharing Data Across Borders

Miller¹

2023

Lecture Notes in Mobility

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Building on the past to help prepare the workforce for the future with automated vehicles: A systematic review of automated passenger vehicle deployment timelines

Cited by 10 publications

References 39 publications

Adapting to the future: examining the impact of transport automation and digitalization on the labor force through the perspectives of stakeholders in all transport sectors

Adapting to the future: examining the impact of transport automation and digitalization on the labor force through the perspectives of stakeholders in all transport sectors

Evaluation of Platooning Configurations for Connected and Automated Vehicles at an Isolated Roundabout in a Mixed Traffic Environment

Public Sector Integration of Connected and Automated Vehicles: Considerations, Benefits and Sharing Data Across Borders

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