iPMSPerformance Management System, under the hood!

Envision a seamlessly orchestrated transformation, where path changes in the metro or train networks occur smoothly and efficiently, ensuring timely and uninterrupted journeys for passengers. Here’s how it can provide valuable insights by using statistical computing, process mining and compelling visuals.

Displays * (click)The visual aspect of the system involves presenting the insights and findings in an intuitive and visually appealing manner. Interactive dashboards and visualizations are utilized to display key performance indicators (KPIs), process performance metrics, predictive outcomes, anomalies, trends, and other relevant information. These visualisations allow decision-makers to quickly grasp the state of the business and make informed decisions.

Forecasting Details for Improved Planning

Waiting Time and Processing Time.

  • Utilising historical and real-time dataAll processing is based on an activity, a resource and a timestamp (basic element = event log). The timestamp defines the start and the end. to forecast waiting times at stations or platforms.
  • Passengers can access the cloud-based visual interface to see estimated waiting times for trains or metros based on current conditions.
  • Assisting passengers in making informed decisions about arrival times and efficient journey planning.

Next Step and Duration to the Next StepAnswers are generated with help from the process mining field. It leverages event logs to analyse and improve business processes, while LSTM ([Long Short-Term Memory] is a type of recurrent neural network architecture) enhances this process by providing sequence prediction, anomaly detection, and process enhancement capabilities. The combination of process mining and LSTM enables organisations to gain valuable insights and optimise their processes for better outcomes..:

  • Real-time updates on the current location of trains or metros
  • Empowering passengers to track their progress and estimate the duration.
  • Effective journey planning and time management. to their next destination or transfer point.

Optimal Resource Allocation and Passenger Management

Number of visitors and available capacity:

  • Analysing passenger flow data to provide insights into the number of visitors at different stations or within trains/metros.
  • Assisting passengers in anticipate crowded areas and making informed decisions about which trains or metros to board based on available capacity.
  • Optimisation of operations and resources allocation for a smooth passenger experience.

Passing Capability

  • Analysis of historical and real-time data on schedules, routes, and infrastructure.
  • Empowering passengers to determine passing capabilities and avoid disruptions, delays, or congestion.

By visualising these forecasting details within the cloud-based interface, passengers can have a clear understanding of the current state of the metro or train network. The system’s messaging tool, similar to WhatsApp, iMessage or SMS, can also provide real-time notifications to passengers about any changes or disruptions in service, allowing them to adjust their plans accordingly.

Conclusion:

  • Emphasize the seamless transformation and efficiency of path changes in the metro or train networks.
  • Highlight the improved passenger experience achieved through the integrated system.
 

Sales order processing balancing availability

Ops performance checking work center status & performance