eyeTrain Brochure - Petards Group plc
eyeTrain Brochure - Petards Group plc
eyeTrain Brochure - Petards Group plc
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... passenger counting<br />
System Communications<br />
Each vehicle will ‘push’ the passenger counting data<br />
after each door cycle via the cellular network. The data<br />
is collected at a central data server, (this may be hosted<br />
by <strong>Petards</strong>, or alternatively by the end user) and may be<br />
made available to a specialist 3rd party data analyser.<br />
Case Study: Vossloh Tram Train Series<br />
<strong>Petards</strong> is a nominated framework supplier for both onboard<br />
CCTV and Automatic Passenger Counting (APC)<br />
Systems on the Vossloh 4100/4300 tram/train series<br />
vehicles.<br />
This revolutionary new vehicle concept is not only less<br />
contaminating, faster and more efficient but also easily<br />
functions as both a suburban train in the metropolitan<br />
area and as a tram in the urban context.<br />
<strong>Petards</strong> first project on the platform was to provide APC<br />
and surveillance solutions to new vehicles supplied to SFM<br />
Serveis Ferroviaris of Mallorca by Vossloh Espania.<br />
APC sensors were fitted to each of the train doors and<br />
connected to an <strong>eyeTrain</strong> APC Sensor. It was vital for the<br />
customer that the analyser was capable of recording the<br />
number of passengers who entered and departed the<br />
train by each named station.<br />
It was also vital that the system was able to connect<br />
smoothly with the Vossloh TMS (Train Management<br />
System), providing a seamless integrated system.<br />
Today, the train operating company is successfully able to<br />
monitor the number of passengers on all of their routes<br />
and has been able to adapt the tram/train configuration<br />
as a result, optimising both efficiency and passenger<br />
comfort.<br />
At any time the system could be upgraded to use wireless<br />
GPS/3G technology. This would enable the operating<br />
company to receive live data of the passengers onboard<br />
each vehicle at any time and could be particularly useful at<br />
peak times or during major organised events.<br />
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