Mobility Analysis

Predict Transport Demand and Automatically Detect Incidents

Hacon technology already provides a valuable data source, including trip planning, ticketing, fleet management and intelligent infrastructure. This data allows public transport operators to understand passenger behavior and improve public transport offerings. Big data treasures hold tremendous potential to deliver the best service to your customers – e.g., to enable detailed predictions of transport demand, automatic incident detection and quality evaluations regarding connections and First Mile/Last Mile solutions.

Mobility Data Analytics

Data as the Key to the Future

As a defining feature of modern life, connectivity can significantly improve many aspects of mobility and transportation. This applies particularly to new settings like Mobility as a Service (MaaS): With passengers demanding easy access to convenient and fast transportation from A to B using a combination of available modes – be it a bus, a train, a ferry, a shared bike or one’s own feet – it is essential to keep a close eye on operational efficiency and service quality. While suitable data is increasingly available to address this challenge, the potential of data analytics remains largely untapped. However, it represents a rich source of information that can be utilized to enhance the passenger experience and drive operational excellence in the digital era.

Download our flyer here.

Interview: Big Data Calling

In the future, big data will no longer just answer the question: What is happening right now? Instead, it will be more and more a matter of making forecasts and helping to make decisions: What is likely to happen and how can we proactively react to that? That's how we turn big data into smart data.

Dr. Christian SchwingenschloeglHead Mobility Data Analytics at Siemens

Structured Data Analysis with HAFAS Statistics

Statistic Software for the Optimization of Mobility Offers

Imagine being able to understand your passengers' wishes and preferences so that you could truly optimize your mobility services to better suit the customer’s needs. HAFAS Statistics, Hacon's statistic software, collects the essential information from your trip planner in order to make this optimization possible.

MyMobility: Proactive Travel Features

Enhancing the Passenger Experience

With the new MyMobility feature, our trip planners become even more valuable travel companions: In learning from the users’ behavior and habits, the apps are able to deliver personalized and proactive mobility recommendations. Travelers’ preferences can be catered to without active input and future trip issues will be anticipated based on predictions. The individual traveler’s daily routines and events serve as a basis for real-time support and service tailored to specific needs.

Download our flyer here.

Traveler Relationship Management

Marketing to Passengers

Traveler Relationship Management (TRM) helps operators to relate to their passengers, to meet their needs, to manage customer communication and foster their loyalty. New mobility options will shape the transportation landscape over the next few years. Knowing, offering and marketing the service and product bundles to the travelers and thereby meeting their individual needs, poses a challenge for every mobility service provider. Operators can use existing apps or digital displays to capture the passenger’s attention using banners, launch marketing campaigns, introduce surveys, discover new target groups among customers, approach focus groups and add location-based context to the communication channels.

Download our flyer here.

HAFAS Time Machine

Delay Retrospective - Quick and Easy

The HAFAS Time Machine enables transport companies to determine in retrospect whether individual journeys of specific passengers were possible as scheduled. Especially with regards to the EU passenger rights and related compensation claims, the traceability of historical travel data is of great importance. The HAFAS Time Machine maps the entire routing at the time of the trip – including the associated disruption information – and checks the complete travel chain for feasibility using the historical real-time data..

mehr erfahren