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Towards Optimal TMS Integration Scenario Based on HRM and SWOT Analysis

Author

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  • Robert Rijavec

    (Traffic Technical Institute, Faculty of Civil and Geodetic Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia)

  • Rok Marsetič

    (Traffic Technical Institute, Faculty of Civil and Geodetic Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia)

  • Irena Strnad

    (Traffic Technical Institute, Faculty of Civil and Geodetic Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia)

Abstract

To meet the collective goal of providing an efficient, sustainable, and safe transportation system, motorway managers are oriented toward establishing an optimal traffic management system (TMS). However, there are no straightforward guidelines through which to deploy the optimal integration scenario for traffic control centers (TCCs). An important component of TMSs is traffic control decisions, implying that human resources represent a critical feature of a TMS. In this study, we introduce human resource management (HRM) into the process of selecting the most appropriate integration scenario, which is achieved by developing a model to determine the number of employees. We formulated the problem as the mixed integer nonlinear programming problem based on the analysis of traffic incidents and road infrastructure data, considering also the employee voice and some HRM specificities in incident situations. Combining these findings with a SWOT analysis of the possible integration scenarios in Slovenia, we propose the most suitable scenario, in which TMS is organized as a cloud service. Moreover, this study predicts TCCs’ space requirements and identifies threats of neglecting HRM in TMS design. This paper can serve as a guideline and a baseline of expertise for motorway managers to create an effective and sustainable TMS in their region.

Suggested Citation

  • Robert Rijavec & Rok Marsetič & Irena Strnad, 2023. "Towards Optimal TMS Integration Scenario Based on HRM and SWOT Analysis," Sustainability, MDPI, vol. 15(13), pages 1-14, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10004-:d:1178211
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    References listed on IDEAS

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