Enabling preventive action and planning
The railway industry is growing in complexity. Networks, infrastructure, technology, speed, and operations research are creating new advancements and hurdles. Increasing operational efficiency and reliability, meeting green standards, advancing workforce safety, improving risk management, upgrading aging technology, adopting new technology and changing accident risk are but a few of the challenges. Spatial, situational intelligence plays a vital role in safe, effective, efficient operations.
Features:
- Infrastructure Management: Geo-spatial visualization and real-time condition-based maintenance of rail infrastructure including the rail network, moving assets, bridges, tunnels, shunting facilities, stations, and other facilities. Powerful visual analytics support superior monitoring of electric power distribution networks, communications and signaling networks, as well as wheel, under-carriage and other sensors.
- Capacity Modeling: Visualization and analysis of railroad capacity as a balanced mix of attributes like number of trains, reliability and accuracy of the time table, average speed achieved, heterogeneity of the operation, track conditions and capacity consumption. Historical visualization of capacity combined with simulation of micro and macro economic factors, traffic forecasts, and demographic shifts offers alternative scenarios of capacity growth and trending. Capacity modeling in this way offers infrastructure managers, operators and rail authorities advanced solutions for planning and capacity management.
- Incident Management: True Situational awareness with real-time monitoring of train movements and key components like wheel, under-carriage sensors combined with external information such as environmental obstacles and weather data for traffic control and re-routing. Rich dashboards and route visualization supports evacuations, re-routing and emergency response situations.
- Intermodal Logistics Management: Spatial framework for visualization and analysis of Intermodal networks for transportation and supply chain / last mile planning combined with predictive analytics regarding network activity in terms of traffic volumes, travel costs to help mitigate congestion, reduction of energy consumption and air pollution.
Benefits:
- Greater operational efficiency with enhanced capacity planning
- Higher reliability through advanced situational awareness enhanced by real-time traffic visualization
- Improved work force safety strengthened by real-time and automated alerts
- Reduced risk of operational incidents/accidents through high-context situational awareness
- Accurate and reliable passenger / shipper information systems with real-time monitoring
- Increased supply chain profitability via advanced capacity planning.
