Transport Modelling and Simulation

We focus on developing state-of-the-art methodologies and tools to understand and quantify the complex interactions between supply and demand, using agent-based approaches for multi-scale and multi-modal traffic simulation. 

 

 

 



Long-term/Macroscopic level

    • The ''big picture''​

    • Aggregated traffic flow representation

    • Land-use modelling

    • Time-scale in the range of days to months to years 

  1. Mid-term/Mesoscopic level

    • An ''intermediate'' between macro and microscopic simulation​

    • Individual daily travel patterns and decisions (activities scheduling flow estimation and in-day decisions)

    • Vehicles packed in packages-platoons or individual vehicle modelling with simplified flow dynamics

    • Time-scale in range of second to minutes

    • Faster simulation than micro

  2. Short-term/Microscopic level

    • ''Physical'' modelling of objects and their dimensions like vehicles, traffic lights, sensors etc.​

    • Disaggregated and detailed representation of users' decision, vehicle movements and and their interactions (car-following, lane changing, gap acceptance etc.)

    • Evaluation of traffic management system designs, traveler information systems, public transport operations, and various ITS strategies at the operational level

    • Energy consumption and emission models

    • High spatial and temporal resolution in range from tenth of a second to seconds

In MaaSLab, we focus on developing state-of-the-art methodologies and tools to understand and quantify the complex interactions between supply and demand, using agent-based approaches for multi-scale and multi-modal traffic simulation. In addition to that, we are looking in expanding our research further and incorporate freight models in order to capture the daily and monthly freight demand patterns and identify the impact of commodities movements in the network.

For more details on our work, please visit our projects and publications.

The need

Transport planners, engineers and operations managers increasingly need to anticipate, understand and evaluate the impact of new transportation policies, mobility alternatives and traffic management schemes both on travel demand (users' preferences and travel patterns) and supply (network performance and energy consumption) aiming towards sustainable urban and regional mobility systems.

The solution

Simulation tools developed over the years have proven to be quite efficient in terms of realistically modelling a transport system and its components, as well as replicate the constant multi-level interactions between supply and demand in an integrated fashion. These interactions may take place in different scales and can be categorized in 3 different levels.

"Everything about MaaS"

  • White Twitter Icon
  • White LinkedIn Icon

© 2016