Your mobility analysis challenge
Mobility providers face 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 accessing and efficiently processing their own mobility data is proving to be an additional challenge.
Statistically reliable mobility data is currently collected mainly manually with passenger counts, which take place at long intervals, are time-consuming and involve high costs. Due to the high costs of provision and maintenance, data collection by sensors rarely takes place in all public transport vehicles. Accordingly, only a few providers know the actual movement behavior of their users. The available data basis is often too small and weak to recognize changes in demand and optimization potential in a timely manner and to make appropriate adjustments efficiently.
Our solution? The Mobility Platform – Intelligent management of your mobility data
PwC's Mobility Platform enables public transport companies, mobility providers, and transport associations to efficiently analyze the movement and mobility behavior of users and citizens and to manage it via intelligent communication services. Data protection and compliance with the GDPR are top priorities: The platform is operated exclusively in data centers in Germany, and end-user data is never collected without explicit consent.
The data collection
Using smartphone sensor data, the platform creates a situational picture of crowd behavior. Movement paths, densities, mobility types, infrastructure usage, and potential problem areas such as narrow passageways can be detected and evaluated in real time. The integrated artificial intelligence supports this by identifying and drawing attention to targeted anomalies and trends.
Easy to use
The out-of-the-box features work without any complex hardware installations. External data sources and sensors can, of course, be connected easily at any time.
The platform also enables location-based notifications to be sent to users in selected zones such as customized stop information, marketing content, and notices as well as warnings regarding delays or crowded transportation.
Efficient mobility data collection and use
Increasing the ability to react to situational changes
Identification of new demand potential and better long-term supply planning
Location-based, intelligent information provision for your customers
Flexible scalability of the platform for new strategic as well as technical requirements
Low investment costs
Features of the Mobility Platform
An interactive map provides you with real-time information on the utilization of stations, routes and route sections. This allows you, for example, to analyse important traffic junctions and thus optimise your mobility offer in the long term and avoid congestion.
Modal split evaluates route segments, routes, means of transport, and user distribution. This allows you to identify new demand potentials. For example, a route that is frequently used by cyclists offers opportunities to implement bike sharing services.
The origin-destination analysis visualizes the transfer behavior in public transport for transport hubs and routes. For example, individual stations can be identified where passengers frequently change trains. The findings can be incorporated into long-term service planning.
People flow analysis
The people flow analysis visualizes people flows with the help of AI and evaluates them. You receive real-time information on characteristics such as density, direction of movement and speed of the users. The AI detects anomalies and risks so you can react quickly to changes. For example, you can prevent overcrowding in certain zones, bottlenecks and passageways.
The platform's web application enables efficient and intuitive data processing and long-term analysis with a customized dashboard.
The Mobility Platform's artificial intelligence analyzes incoming data streams and detects anomalies as well as trends. For example, the risk of overcrowding in a certain zone due to approaching streams of people can be detected and reported.
External sensors of any kind can be integrated into the platform to generate additional information. One use case, for example, is people counting sensors that alert in case of limit violations in individually defined zones.
Messages can be sent to app users in defined zones based on their location. This allows you, for example, to notify passengers that the entrances to a public transport station are overcrowded and show them alternatives.
In the integrated geographic map, any kind of locations, points of interest, routes and zones can be visualized individually – visible for your app users.
The geographic locations and movement data of your mobile assets (employees, task forces and vehicles) are automatically stored and can be retrieved by you at any time. An available asset with the shortest possible route to the location can thus be identified and coordinated.
Asset notification & reporting
Using our free Command app, your assets and responders can quickly and easily report any information or incidents to your control center. Likewise, the control center can send messages and instructions to selected assets.
The logbook automatically documents and stores all processes recorded by the platform in chronological order so that processes can be traced back in retrospect.
Identification of new demand potential
01 Optimization workshop
In order to optimize the mobility offer, the mobility behaviour in the individual city districts is to be analysed in a workshop. The planning team bases the decisions on historical data and information from the Mobility Platform.
02 Modal split
Within the analysis of the modal split, the planning team recognizes that commuters from a certain area (Q2) use private transport more often than average.
03 Offering expansion
In this way, the mobility planners can carry out targeted surveys in the identified area. Subsequently, the next steps are defined on how individual traffic can be reduced and how the public transport offer can be expanded.
01 Tram fault
Monday, 08:35: A tram cannot continue its journey due to a sudden technical fault.
The driver reports the fault to the control centre via the Connect and Communicate app.
03 Asset Tracking
The control center receives the message and requests technical support with the shortest route to the scene.
04 Smart notification
The control centre reports the delay to the waiting passengers at surrounding stops and to the passengers in the tram. They receive information about alternative routes and means of transport.
All messages and instructions are automatically stored in the integrated logbook. Process optimizations can be derived from the information in retrospect.
Avoiding dangerous situations
01 Potential hazard
At the end of a concert, the visitors start their journey home. A large stream of people moves to the western train station, disregarding the station to the east of the site, which is also nearby.
02 People flow analysis
The control center detects a significant increase in the number of people moving toward the entrances to the west station.
03 Smart notifications
The control center informs the people flow via app based on location and recommends to switch to other nearby stations and means of transport.
04 Hazard prevention
Some visitors follow the recommendation and switch to alternative stations and mobility options. This avoids overcrowding and favors the distribution to other means of transport.
- Standardized mobility analyses incl. dashboard
- Software development kit for app integration
- Intelligent notification technology
- Continuous feature enhancement and maintenance
- Individual technical adaptation of the Mobility Platform
- Conceptual extension of the Mobility Platform
- Supplementary workshops for training, further development perspectives, etc.
... and much more
Use your mobility data efficiently now.
Please contact us! We are at your disposal and will be happy to provide you with a solution tailored to your individual needs. Please enter your business e-mail address.
What is "mobility analytics"?
Mobility analytics is the data-based analysis, evaluation and forecasting of mobility, traffic and people behavior using GPS and other sensor technology, usually with the help of artificial intelligence. The results can later be modeled and illustrated on interactive dashboards. A concrete application example is the origin-destination analysis with which transfer behavior in public transport can be displayed and thus mobility planning can be made more efficient in the long term.
How does the implementation of the Mobility Platform take place and how long does it last?
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.
Which data is included in the mobility analysis?
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 utilization of stations and congestion can be avoided by optimizing 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 optimized. The inclusion of IoT sensors of all kinds also helps to customize 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.