500 On-Demand Shuttles in a Barcelona Traffic Model

A Virtual Mobility Lab using transportation demand modeling technology showed how Barcelona Metropolitan could clear notorious vehicle congestion with 500 on-demand shuttles.

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A new, simulated traffic model shows that traffic congestion in the Barcelona Metropolitan area could be significantly lower with the addition of mobility-on-demand services -- specifically, on-demand shuttles.

The simulated environment, provided by the Virtual Mobility Lab developed by the Cooperative Automotive Research Network (CARNET) with PTV Group transportation demand modeling technology, analyzed all aspects of the city’s transportation options, giving a never-before-seen look at the current structure and the impact of potential smart mobility projects in the area.

The significance of a simulated environment is that it allows for a trial run of ideas before implementation of a pilot test, saving money, time and material.

A simulated traffic model of Barcelona's transport structure revealed a need for on-demand shuttles.

Image: PTV Group

As evidenced, further simulated tests showed that Barcelona metro area streets could be reduced to 2,000 vehicles with the inclusion of 500 on-demand transport shuttles. The change would also go a long way to reducing pollution levels in the city.

We used our PTV MaaS Modeller tool in the virtual laboratory to create several scenarios in the city, as well as in selected areas of the First Crown, and to demonstrate the potential impact of demand responsive transport services on the city,” said Jaume Barcelo, strategic consultant at PTV and recognized emeritus professor and scientific director of the Technical University of Barcelona.
This simulated environment shows the impact 500 additional on-demand shuttles would have on the Barcelona metro area.

Image: PTV Group

The simulated environment will help aid city leaders on policy, companies on new business and transport operators on mobility alternatives.

The Virtual Mobility Lab was showcased at the Smart Cities Expo World Congress 2017.

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