Stay mobile with TAPAS

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Stay mobile with TAPAS
Simulation of future transport demand
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How will the volume of traffic develop over the coming years? What mode of transport will people prefer in the future? What needs to happen to improve people's mobility and make it more environment-friendly? If you want to design transport systems, you need to know the demand and the mix of users. Researchers at the DLR Institute of Transport Research have developed the model TAPAS (Travel and Activity Patterns Simulation) for this. TAPAS documents people's individual travel behaviour and shows the effect of changing conditions on infrastructure and transport policy. With the traffic model, researchers can calculate, for example, demand for transport or draw conclusions on transport development in the whole of Germany.
Keywords transport traffic TAPAS infrastructure
Meeting/Interview Workshop
Rapid transit Bus Meeting/Interview Train
Hot working Meeting/Interview Transmission (mechanics) Workshop
Computer animation Catadioptric system Mode of transport
Pattern (sewing) Meeting/Interview Moving walkway
Belt (mechanical) Meeting/Interview
Typesetting Deutsches Zentrum für Luft- und Raumfahrt Ford Focus Train Railroad car Pattern (sewing) Saw Outsourcing Computer animation Moving walkway Musical ensemble Mode of transport Workshop
Finger protocol Bicycle Pattern (sewing) Computer animation Bus Stagecoach Cartridge (firearms) Moving walkway Mode of transport Railroad car
if mins In Berlin there are around
1 . 7 million jobs over 40 universities and higher education colleges and almost a thousand
schools everywhere day
offices in workshops Philip with workers lecture
rooms with students and teachers and pupils rushed to school tens of thousands are on the move they come from the
suburbs all the inner city and
take commuter trains subways Trammell bus they
drive all cycle shopping trips supplement their journey to and from college or work sports and cultural centers of called friends visited there is not simply walk away from a to B enormous number of potential destinations are available and there's a lot
of scope for combining trips and selecting various
means of transport it is up to each transport users to decide what is
convenient for him or her
individual travel patterns characterized human
mobility what influences those patterns can there be
controlled what has to happen in order to maintain and improve all mobility and
designed to be more environmentally sound
when designing tomorrow's mobility 1 has to know
the Duma the transport users transport modeling
can help you to examine the behavior of the area's population groups in
scenarios b Allott research is working on such simulation models
1 of these models has a particularly strong focus on individual behavior it's called Tampax travel and activity
bands simulation modeling travel patterns is no simple task as human beings do not always act strictly rationally routines norms experience as well as the spatial social environment characterized the patterns of preferences knowing the factors influencing decisions is a prerequisite when making predictions about future mobility behavior looking at diverse transport behavior data helps the transport researches 1 of these data sets is a study called mobility in Germany for which over 60 thousand people reported their travel behavior be statistical analysis of these records helps the model until understand on which factors it depends whether people cars how often they leave their house which mode of transport favor and how they react 2 changes in transport provision for opening up the city is built as a model with streets commuter trains universities shopping and leisure facilities poems and much more from various data sources and aunt official population is drawn up which however correctly reflects the actual population it represents people along with the social and economic characteristics age gender employment status family status the DLR reset to send these various individuals on the Georgia the artificial individuals have the task of selecting transport modes and locations for the planned activities this is a matter of waiting got alternatives how far away is a certain destination how long do I need to get their using different means of transport what will it cost me their decisions depend just as much on the purpose of the journey and their individual characteristics as on the spatial context and the available transport options but what precisely is happening in the model here a working middle-aged woman will
serve as an example let's call Mrs. Smith on the basis of their individual characteristics and also those of household the model selects an appropriate empirical day's schedule this schedule provides for Mrs. Smith to take a child to the nursery in the morning and subsequently traveled to work in the evening she has arranged to go to the cinema with a friend in the next stage the destinations a means of transport must be specified for each activity beginning with the most important what would announce case Mrs. Smith has a driving license and the car is out front she decides to drive today next and necessary is selected the child is taken there on the way to work the options for the evening more numerous there many cinemas in town for her to choose from as a rule she would more likely choose an easily reachable large cinnamon nearby the small further away in our example she decides to go by bicycle in the evening even tho the selected cinema is a few minutes away the travel patterns of Mrs. Smith for a particular day is thus mapped out what would happen if the price of petrol rose and public transport were improved How would Mrs. Smith schedule be halted let's return to the question of what the way to work would look like using the car has become more expensive and therefore less attractive Mrs. Smith decides to take the bus to work the necessary demands only a short detour on the way to the bus stop easily managed on fault even with a child only in the evening due to the long travel times by bus time gets a little tight a cinema in the vicinity is chosen and Mrs. Smith can get there by bike on time before the film starts the test of the altered schedule shows that travel times and costs are plausible and that the plan is practicable at the end of the simulation there's a schedule with all the days destinations the means of transport Hughes the distance covered and the time needed for the journey not only for Mrs. Smith but every individual in the artificial population every day mobility In the model as in real life is the result of numerous individual decisions by observing many separate individuals the tap past demand model facilitates the buildup of a complete picture of future
transport transport modeling enables us to assess the effect of transport policy measures new transport options altered prices or even be aging of the population and the only those who know the present and can foresee the consequences of change will be able to sustain the shape future mobility for a mobile tomorrow area we