Mobility Platform

Mobility analytics is the data-based analysis, evaluation and forecasting of mobility, traffic and people behaviour using GPS and other sensor technology, usually with the help of artificial intelligence. The results can later be modelled and illustrated on interactive dashboards. A concrete application example is the origin-destination analysis with which transfer behaviour in public transport can be displayed and thus mobility planning can be made more efficient in the long term.

We accompany you on the implementation path – from planning to operation. In workshops, we first plan the implementation process together with you and discuss individual details in order to subsequently integrate the new functions into the corresponding app of your company. The next step is the download and rollout of the free Command app and the training of your staff. Afterwards, the go-live of your own mobility data platform takes place. In addition, it is always possible to integrate external sensors into the mobility platform.

With the help of GPS, smartphones, sensors and other external data, a lot of important information can be generated. Based on the usage analysis, statements can be made about the utilisation of stations and congestion can be avoided by optimising the mobility offer in the long term. The modal split analysis helps to track the choice of means of transport and user distribution and thus to identify market gaps and potentials. Using the results of the origin-destination analysis, changeover behaviour can be identified – changing trends can thus be reacted to at an early stage by adapting the offer. Passenger flow analysis helps to prevent hazardous situations. It can be used to map flows of people in terms of density, direction and speed in real time on an interactive map. Dangerous situations in certain zones, such as at bottlenecks or passages to train stations, can thus be prevented. The use of artificial intelligence helps to identify certain risks in advance and thus gain more time to react to changes. Long-term analyses ensure that an overview can be maintained over a longer period of time, that long-term planning can be carried out and that the offer can be optimised. The inclusion of IoT sensors of all kinds also helps to customise the analysis tools to the respective needs. Location-based and smart notifications as well as the sending of geo-information to passengers help to control behaviour.

Mobility providers are facing three main challenges: urban growth, cost pressure and new mobility requirements. In order to stand out from the competition as an attractive mobility provider, innovative, data-driven paths must be taken. So far, very few mobility providers are exploiting the potential of data use, because access to their own mobility data and the efficient processing of it is proving to be an additional challenge. PwC's Mobility Platform enables public transport companies, mobility providers and transport associations to efficiently analyse the movement and mobility behaviour of users and citizens and to control it via intelligent communication services.