## 4 Limitations  
While this analysis strives to identify the most pertinent papers within the realms of transportation and ABM, it is crucial to acknowledge certain inherent limitations that temper the scope of this study.  
Firstly, our analysis exclusively focuses on articles published in journals indexed by ISI Web of Science. Consequently, it does not encompass valuable insights that may be gleaned from scientific conference proceedings or research papers available in other databases, such as Scopus. This limitation may inadvertently omit significant contributions from these alternative sources.  
Secondly, language constraints restricted our examination to papers published exclusively in English. Consequently, papers in other languages, though potentially valuable, were excluded from our analysis.  
Furthermore, the scope of our analysis was delineated by a predefined set of keywords associated with ABM and the transportation domain, as detailed in Table 1.  
This predetermined set of keywords may have inadvertently excluded pertinent papers that employ alternative terminology or encompass related subfields.  
Lastly, while we employed the Biblioshiny library within the R programming language to facilitate our analysis, we acknowledge that other software applications may offer distinct perspectives and insights, and therefore, our findings are delimited by the specific tools employed. The choice for the use of Biblioshiny resides on the fact that it encompasses a comprehensive set of methods and techniques suitable for various bibliometric analyses, offering robust visualization tools and informative metrics and being easy to use, with a very friendly user interface and comparable with CiteSpace, which provides an overly complicated interface [87]. Notably, Biblioshiny surpasses alternatives like VOSviewer and SciMAT by allowing the simultaneous analysis of multiple sources [88]. Additionally, it provides a diverse range of graphs crucial for the bibliometric analysis [88], such as the H-index graphs or the map depicting authors' production over the analyzed period--an essential element explaining the evolution of the domain and identifying key authors [89]. Also, Bibliometrix offers a series of metrics, including total sources, publications, and authors, that are directly extracted from the database [89]. Biblioshiny further distinguishes itself by offering customization options for graphs through filters, such as the number of authors to be presented, various limits, and the number of clusters [88]. This level of customization is not available in VOSviewer or SciMAT. Additionally, Biblioshiny provides unique features like tree maps, three-field plots, Word Clouds, and world maps--tools that significantly enhance the capability to conduct thorough Bibliometrix analyses [90].  
Contrarily, VOSviewer has been found as lacking in stemming or lemmatization in keyword co-occurrence analyses and lacking functions for temporal analyses [87]. Leveraging the R programming language, Biblioshiny benefits from one of the largest global communities, facilitating ease of access to information and support [90]. This popularity positions Biblioshiny among the most widely used tools for a bibliometric analysis along with VoSviewer, Harzing's Publish or Perish, and CiteSpace [87]), making it the choice for the bibliometric analysis used in this paper.