The first modern Singapore Grand Prix was deemed to have been a success, from both the
special event itself and the implementation of traffic management solutions within the city
circuit. This provided a strong foundation for continued use of a traffic management solution
through the application of the PTV VISION suite as identified within this paper.
Planning for special events is required for varied occurrences across the globe from single
site, to regional activities, through to the complexities of urban operations. The application of
a mesoscopic VISUM model in Singapore allowed for quick assessment of varied operational
strategies and for direct export to simulate the complexities of the urban landscape in
VISSIM. The direct integration validated the approach to analyse and simulate in one
VISION solution. Measures reflected in the VISUM mesoscopic model, including demand
flows, intersection operations, impedance and path sets were represented within the VISSIM
micro-simulation model. This paper has identified that a detailed and well developed
transportation model can be used efficiently to examine the detail of traffic operations. The
modelling actions indicate that a consistent series of assigned paths and turn volumes
reflected in a VISUM network can be matched within a VISSIM simulation network. This
does however increase the need to achieve a thorough match between the observed
conditions and the initial instrument of analysis – the VISUM transportation model.
This establishment of a suitably calibrated and validated model could then be used to quickly
examine a number of traffic management solutions for special events - including road
closures and signal operations within the urban network, while preparing for the Singapore
Grand Prix. This approach resulted in a streamlined solution in successive years. Overall
the combined VISUM and VISSIM approach examined the complexity of urban traffic operations. The VISION solution represented both constraints and operations at the
mesoscopic level to adequately plan and prepare traffic management plans for larger
investigations sites using best practice methods