02.03.2014 Views

Efficient Collection of Ridership and On- Time Performance Data - Init

Efficient Collection of Ridership and On- Time Performance Data - Init

Efficient Collection of Ridership and On- Time Performance Data - Init

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Automatic Passenger Counting<br />

<strong>Efficient</strong> <strong>Collection</strong> <strong>of</strong> <strong>Ridership</strong> <strong>and</strong> <strong>On</strong>-<strong>Time</strong> <strong>Performance</strong> <strong>Data</strong><br />

Introduction<br />

1 Introduction<br />

Reliable ridership data is not only important for government reporting but also necessary to help<br />

better plan public transit services. The costs <strong>and</strong> efforts for manual passenger counting are extremely<br />

high, the sampling plans are <strong>of</strong>ten not representative <strong>and</strong> the results are inaccurate. Automatic<br />

Passenger Counting (APC) collects highly accurate ridership data <strong>and</strong> no manual ride<br />

checkers are needed. APC is <strong>of</strong>ten integrated into an Automatic Vehicle Location (AVL) system,<br />

however also available as a st<strong>and</strong> alone system. This st<strong>and</strong> alone version allows transit agencies<br />

who don’t have an AVL system to benefit from the advantages APC <strong>of</strong>fers.<br />

Metro in St. Louis is using APC as a st<strong>and</strong>alone system on 40 buses <strong>and</strong> 87 LRV’s. In particular,<br />

APC data was a critical component in the service reduction analysis in 2004 when approximately<br />

$2 million dollars per year were saved through the service reduction without significantly<br />

impacting overall ridership. In order to manually collect, analyze <strong>and</strong> manage the<br />

route data which Metro receives from the Automatic Passenger Counting System, the agency<br />

would have to spend a minimum <strong>of</strong> $700,000 per year. Metro measures on-time at every time<br />

point for arrival <strong>and</strong> departure. In addition, the data is stored in a shared network drive so operations<br />

can review how an operator is performing by printing the history <strong>and</strong> going over with the<br />

operator how to improve the schedule adherence.<br />

1.1 Technical Overview<br />

Infrared sensors, mounted above each door, combine passive <strong>and</strong> active technology to achieve<br />

highest accuracy. The sensors are connected to an on-board computer which retrieves <strong>and</strong> stores<br />

the counts together with GPS location. As soon as the vehicle arrives in the garage area the collected<br />

data is uploaded wireless LAN from the vehicles to a central server. A unique algorithm<br />

which does not require any manual intervention matches the passenger counts to the schedule. A<br />

projection feature extrapolates sample data to the full service. It should be specifically noted that<br />

no driver interaction is required (“black box” solution). The turnkey APC system works from<br />

end to end fully automated! All data is subsequently available in database for ad-hoc <strong>and</strong> automatically<br />

scheduled statistical reports. Results are presented in tables, graphs <strong>and</strong> in a graphical<br />

information system (GIS). NTD reporting is integrated.<br />

1.2 Partnership<br />

INIT has more than 6500 sensors installed in North America <strong>and</strong> Canada on buses <strong>and</strong> Light Rail<br />

Vehicles. The APC system has been developed in conjunction with INIT´s cooperation partner<br />

IRIS Infrared & Intelligent Sensors GmbH, Berlin (INIT AG is major shareholder <strong>of</strong> IRIS<br />

GmbH).<br />

Andreas Rakebr<strong>and</strong>t 05-08-02<br />

C:\Dokumente und Einstellungen\bau\Lokale Einstellungen\Temporary Internet Files\OLK2A\APC_Paper_RAK_2.doc<br />

TAB 5, A <strong>Efficient</strong> <strong>Collection</strong> <strong>of</strong> <strong>Ridership</strong> <strong>and</strong> <strong>On</strong>-<strong>Time</strong> <strong>Performance</strong> <strong>Data</strong> Page 3 <strong>of</strong> 13<br />

This document contains proprietary information <strong>and</strong> has to be treated confidentially.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!