The algorithm of checkpoints operation at the airports of civil aviation презентация

OF CIVIL AVIATION

Polina Ustimenko, FLA 607, NATIONAL AVIATION UNIVERSITY

to improving
upon screening functions include:

optimizing screening efficiency;
minimizing passenger wait times;
improving the capability to detect explosives
at passenger checkpoints;
optimizing inline explosives detection systems
for checked baggage;
developing strategic plans for addressing
screening technology.

tomography of the baggage
Level 2 - monitoring centers to control baggage from remote workstations.
Level 3 - detection of explosive items
Level 4 - the system of localization and removal of detected dangerous
objects and substances

Explosive Trace Detection
Imaging Technology
Advanced X-Ray
Walk Through Metal Detector
Bottle Liquids Scanners

Checkpoint Operations

Four screening functions at checkpoints:
X-ray screening of carry-on items
WTMD screening of individuals
hand-wand pat-down screening of individuals
physical search of carry-on items or inspection with an ETD

detection technologies can provide the level of threat assessment enhancement required but require human factors integration to ensure optomised performance

innovative stationary gantry design
detailed 3-D images
items are scanned at speeds from 1500 to 1800 bags per hour
best possible security at a lower overall cost
full volumetric continuous scanning;
fast advanced baggage reconstruction and explosives detection algorithms
easily integrated into any baggage handling system;
operates at both 0,25 m/s and 0,50 m/s

RAPISCAN RTT™ 110

to drive acquisitions and deployment decisions. It gives the ability to measure changes in checkpoint performance, at the airport and system level.

items cleared and those not-cleared

where T – total time spent in checkpoint screening;

TP – time spent in the primary inspection process;
TS – time spent in the secondary inspection process;
λ1 – initial arrival rate;
λ2 – secondary arrival rate, which is directly related to the rejection rate β;

μ1 – primary inspection service rate;

μ2 – secondary inspection service rate.

Formula

Definition

Large hub SIOC curve

types of airports

The data shows that for medium airport hubs the limits are similar to
large airports, while for small airport hubs rates above 15 carry-on items
per minute result in too few being cleared along with high rejection rates.

date of birth, and gender. AA matches this information against government watch lists to:

• Prevent individuals on the No Fly List from boarding an aircraft.
• Identify individuals on the Selectee List for enhanced screening.
• Facilitate passenger air travel. • Protect individuals' privacy.


After matching passenger information against government watch lists, Secure Flight transmits the matching results back to airlines.

Problem/Issue

Solution

long security lines
long waiting time of the arriving enteties
the complexity of rules for passengers
short timeframe for immigration to
anticipate on possible threats
low security level
low screening efficiency and effectiveness
baggage screening systems generate more
detailed images but are relatively slow (X-ray)
baggage screening systems are either fast
but do not generate detailed images of the object being scanned (CT)

implementation of biometric technology
introduction of innovative methods
the deployment of new technologies
introduction of RTT security technology
applying intelligence-driven,
risk-based screening procedures
SSCPs must be included in design,
and engineering phases of the
project from its conception