Brutally detailed transport modelling
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Market Manager, Smart MobilityT: +358 (40) 5273277
Data scientist, Digital Mobility LabT: +358 44 7558853
How it works
- Brutus represents land-use in a dense grid containing information about socio-economic activities and population. Synthetic agent population is generated to closely resemble the study area population.
- The grid cells are connected via a multimodal transport network that contains car roads, public transport lines and bicycle and pedestrian paths.
- An activity pattern is generated for each person in the model. For that, travel survey data or data from a MaaS platform is used.
- Traveling between activities is modelled as travel chains simulating a detailed activity diary of each agent.
- All trips are assigned to the travel modes and routes that are most attractive in terms of time, cost and level of service.
Brutus models individuals over a full day’s travel for all modes of transport
Planning gets more integral and holistic. With new questions regarding health, climate and equity, understanding and influencing travel demand is becoming more important than just adding supply to the transport system. Luckily there is nowadays a lot of data available on user needs and mobility patterns to make new kind of analysis. Decision-making can be made more rational and pre-emptive.
Brutus is a data driven simulation model. It can closely represent how everyone is likely to travel in the transport system. Thus, we can trace back simulated people throughout all the travel and activities during the day using any mode, including new mobility services. For example, improving commuting is more than mapping A to B – Brutus delivers insights from a full day’s traveling on all modes of transport. The detailed data can be analyzed in many ways to study for example the social, economic and environmental sustainability impacts of the proposed measures. As a result, you will achieve better solutions, economic benefits and reach your sustainability targets.
Urban structure is represented with a dense land-use data set containing information about socio-economic activities and population. Synthetic agent population is generated to closely resemble the study area population. The grid cells are connected via a multimodal transport network that contains car roads, public transport lines and bicycle and pedestrian paths. The simulation examines the profiles of the households in the urban structure and replicates them and their activities utilizing the travel survey sample. All activities resulting in travel demand of the simulated individuals are modeled as travel chains and generated trips are assigned to the travel modes and routes that are most attractive in terms of time, cost and level of service.
The detailed data can be analyzed in many ways and also the results can be fed into other tools like SHAIR to examine the local impacts on air quality. Brutus can also be connected with Land-use analysis tools like InMap to have a more holistic view on the urban area.
As a result, you will achieve better solutions, economic benefits and reach your sustainability targets. Brutus is a versatile platform that can adapt to different data sources. It has been applied already in many practical local, regional and national cases in Finland and the Netherlands.
“For the province of Utrecht the use of the model is very fruitfull, because it delivers insights in both regional level as on a local level for cycling. The interface was capable to deliver 80% of the questions often asked to transport models. The accuracy of the model was rather impressive, given the limited counting values available. In some projects we did countings and the accuracy of BRUTUS was in these cases remarkably good. Not only the true numbers, but also the relative numbers for splits and joints. The scenarios give great tools to analyse possible interventions in the network, like missing links and additional land use.”
Herbert Tiemens: Senior consultant Bike and Pedestrian for the City of Utrecht