Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 04:44:09am America, Santiago
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Daily Overview |
| Session | |
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6B: Civil & Construction Virtual location: VIRTUAL: Agora Meetings | |
| Presentation 4 | |
4:04pm - 4:12pm
A Systematic Review of PTV Vissim Applications in Urban Vehicle Traffic Management Universidad Científica del Sur, Perú In recent years, traffic congestion has become a global problem that worsens annually, impacting mobility and quality of life in modern cities. The objective of this systematic review of scientific literature published between 2012 and 2025 is to analyze the application strategies of Vissim PTV (Public Traffic Management) systems to improve urban traffic management. To this end, a systematic search was conducted in two databases: Scopus and ScienceDirect, applying the PRISMA method with a PICO question approach to identify articles that met the eligibility criteria for the search, selection, and data extraction. The STROBE tool was used to assess the risk of bias, along with Robvis for domain analysis. Results: Thirty-five studies (n=478) were included to compile different vehicular mobility management strategies, which are divided into geometric and control improvements. The study showed that the efficiency level of the simulated measure in Vissim varies depending on traffic volume, type, and road geometry. In conclusion, Vissim software is used to model everything from intersections to complex networks, and the solutions focus on geometric interventions (roundabouts and grade separations) for structural problems and dynamic management (adaptive traffic lights) to optimize road capacity. The reliability of the simulation depends on calibration and validation using GEH<5 and MAPE<15%~25%. In summary, geometric improvements achieve the greatest delay reductions (>60~90%). | |
