User Interaction and Perceived Effectiveness of  S-VoCTF for Traffic Volume Count Studies

Authors

  • AZIZAH TUKIMAN AZIZAH BINTI TUKIMAN Author
  • Nor Haniza Mustafar Kamar Author
  • Noraziela Mokhtar Author

Abstract

Traffic volume count studies play a critical role in urban planning, transportation infrastructure development, and traffic management. While traditionally centered on quantitative data, the influence of user interaction ranging from data collection to result application remains underexplored. This research introduces the Smart Volume Counter Of Traffic Flow (S-VoCTF), an innovative tool designed to enhance student learning and field data collection, particularly in the Highway & Traffic Engineering course. S-VoCTF facilitates the assessment of traffic flow and intersection performance using Passenger Car Unit (PCU) data.The study investigates how stakeholders such as city planners, engineers, and civil engineering students interact with S-VoCTF and how these interactions affect the perceived effectiveness of traffic volume studies. Using a mixed-methods approach, including surveys, interviews, and case studies, the research identifies key factors influencing user trust, data usability, and the integration of findings into real-world decision making. Findings reveal that 92% of respondents view S-VoCTF as innovative, effective, and well-designed for field application. Moreover, 91% found it user-friendly, intuitive, market-relevant, and cost-effective. Additionally, 90% acknowledged its positive impact on users, while 89% agreed it aligns with user and industry needs in terms of value and cost. The study concludes that transparency in methodology, real-time data access, and effective visualization significantly enhance the credibility and utility of traffic volume data. Recommendations are provided to improve user engagement and maximize the influence of such technologies on urban mobility and infrastructure planning.

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Published

30.11.2025

How to Cite

User Interaction and Perceived Effectiveness of  S-VoCTF for Traffic Volume Count Studies. (2025). Journal of STEM and Education, 5(2). http://journalstem.net/ojs/index.php/pkb/article/view/89