• Support better decisions in a complex world

    The goal of transportation is to move people and goods effectively and safely, while using minimum resources. By 2050, the world’s population is expected to reach 9 billion people, 70% of whom will live in cities. This means that without smarter mobility solutions, challenges that already exist in transportation today, will intensify in the future.

    To implement solutions that address these demands in a smart way, we must gain a profound understanding of new mobility needs. Traditional ways of thinking about and looking at data cannot support these requirements – at least not fully. And that’s where PTV Data Analytics comes in.

  • Analyse historical patterns for future prognoses

    Providing data for traffic and logistics planning and optimisation is complex – and has been one of our core competencies since 1979. Now, the cloud-based PTV Data Analytics Platform takes data analysis to a new level. The PTV Data Analytics Platform analyses data sets to detect patterns and thereby enables decision makers to pinpoint causes of traffic inefficiencies. This process is facilitated by big data tools and machine learning algorithms.

    Patterns in historical movement data are a good indicator of future behaviour: For example, a road segment that has been congested every weekday morning in the past, will likely be congested all weekday mornings in the future unless countermeasures are implemented. This way, the PTV Data Analytics Platform enables you to learn from the past and, together with PTV software solutions, to project this knowledge into the future towards safer and more sustainable traffic outcomes.

  • Speed patterns in Birmingham on a regular Monday

    During morning and evening rush hours, traffic volumes increase. As the overall capacity of the traffic network stays the same, roads are congested and the average speed driven by all vehicles is below the maximum speed allowed.

  • Understand movement patterns within your transportation system

    PTV Data Analytics combines movement data that is already being collected by billions of mobile devices, such as smartphones, connected cars and GPS-tracked fleet trucks with road network information. This information provides a comprehensive picture of entire trips taken in any geography from origin to destination rather than looking at individual data points.

  • Visualise traffic patterns to identify bottlenecks easily

    Visualising movement data facilitates an understanding of movement patterns and an easier identification of bottlenecks. The example below illustrates the effect of rush hours on the A3220, a large and important road in London.

    The right graph plots the average speed driven for specific times and positions on the route. The orange, red and purple colours indicate reduced speeds on weekday mornings: This is because during rush hours the route is congested. On the left, the route in question is shown on the map. Hover over the graph on the right to see on the left what the route looks like at this point in time:

How PTV Data Analytics lead to better traffic outcomes

    • Analyse traffic patterns to identify bottlenecks

      Data analytics helps transport planners understand how travel times in road networks change throughout the day and over time. This knowledge allows them to comprehend the full impact of rush hours and helps them identify and eliminate bottlenecks in their cities.

    • Recognise and mitigate congestion in real-time

      By analysing how driving speeds in road networks develop in real-time, the PTV Data Analytics Platform enables traffic operators to recognise congestion as it’s building up and implement measure that mitigate it.

    • Analyse truck waiting times to optimise freight transport

      Analyse truck waiting times at toll booths and on your own premises with the PTV Data Analytics Platform to get a better picture of overall travel times.

    • Evaluate movement patterns for smarter infrastructure investments

      Where does traffic originate and how does it build up? What impact would different infrastructure measures have on the road network and its utilisation? The PTV Data Analytics Platform enables you to analyse the existing situation as well as future scenarios and thereby empowers you to base decision on concrete data.

    • Understand crowd movement to reduce security risks at events

      Events like festivals, international exhibits or world cups draw large crowds. The bigger the event, the bigger the security risks involved. Based on historical data, the PTV Data Analytics Platform enables organisers to analyse how visitors arrive to, move through and leave from the event venue. With this information, they can identify potential bottlenecks and implement measures to mitigate security risks.

  • Refined data ready-to-use in PTV Software solutions

    All data collected, structured, analysed and refined with the PTV Data Analytics Platform is ready-to-use in PTV Software Solutions such as PTV Visum, PTV Optima and PTV MaaS Modeller. We customise the data based on your individual needs and KPIs and thereby empower you to analyse your roads the way you want to.

    Do you want to know more about how data can bring your traffic and transportation planning to the next level?