Individual Routing and Automated Guidance

Follow the Greens at FRA (click to enlarge)

Individual routing and electronic input of controller intentions allows for the detection of conformance failures. In combination with dynamic control of airfield ground lights, a level of automation is achieved that has demonstrated to reduce controller workload and to improve situational awareness of pilots.

The ATRiCS Surface Manager (SMAN) integrates the existing surveillance and lighting infrastructure at an airport to a truly coherent surface movement management system.


  • Individual Routing: For each mobile located in the movement area, SMAN proposes an individual taxi route to the controller. To save controllers from the tedious work of manually modifying route proposals, SMAN computes any route from scratch, taking into account the current traffic situation, preferences and constraints. At any time, the controller can change the mobile‘s destination or route.
  • Automated Guidance: During taxi, SMAN automatically switches the taxiway centerline lights to unambiguously indicate the assigned taxi route to the pilots. At any time, the controller can manually control stop bars and illuminate taxi route sections to statically indicate admissible taxiways to pilots and drivers.


Depending on the capability of the existing infrastructure, we can provide and integrate additional low cost sensors to locally improve the surveillance data quality. Together with our industry partners, we can also retrofit the lighting system to provide individual lamp control and monitoring functions.

References

  • Berlin Brandenburg International (BBI, Germany)
  • Frankfurt International (FRA, Germany)
  • Incheon/Seoul International (ICN, South Korea)
  • Kuala Lumpur International (KUL, Malaysia)
  • Munich Airport (MUC, Germany)

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Track Data Analysis

Speed Profiles (Surface Movement Radar)

With the ATRiCS Track Data Analyzer (TRAZER), you can automatically analyze and assess all relevant performance indicators entailed in your airport surveillance data, for example


  • Quality of the surveillance data (coverage, accuracy, probability of detection, ghost / false targets etc.)
  • Evaluation of airport performance indicators (throughput on runways, occupancy times, taxi times, holding / queuing times etc.)
  • Monitoring of airport resource utilization (number of movements on runways, taxiways, intersections, de-icing pads etc.)
  • Capturing of operational traffic parameters (speed profiles, pushback / start-up times, longitudinal separation, take-off / landing separation)
  • Detection of safety-related incidents (runway incursions etc.) 


Since typically recorded  surveillance data is divided into several files to manage the large data volume, TRAZER provides a batch function that allows to analyze any number of files. The results can be exported for further processing – be it in simple spread sheets or complex data warehouse applications.

References

 

  • DFS Deutsche Flugsicherung
  • Fraport
  • Honeywell Airport Systems