Improving Scheduling Through Performance Monitoring

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Improving Scheduling Through Performance Monitoring

Kimpel, Thomas J. / Strathman, James G. / Callas, Steve

Historically, schedulers and operations management personnel have made decisions with limited information about various states of the transit system. The present study highlights innovative uses of data collected via automatic vehicle location and automatic passenger count technologies in the areas of scheduling and operations management at TriMet, the transit provider for the Portland, Oregon metropolitan region. Two main topics are addressed in this paper. First, we look at efforts at TriMet involving the use of archived operations data to improve bus schedules. Second, we look at the role of operator behavior in relation to service reliability and steps the agency is taking to reduce run time variability and maintain vehicle headways through better management of operators. The quality, quantity, and disaggregate nature of data at TriMet has greatly enhanced the agency’s ability to generate performance reports as well as undertake special purpose studies targeting specific operational issues, providing essential feedback into the scheduling process.

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Document information

Title :

Improving Scheduling Through Performance Monitoring

Contributors:

Hickman, Mark (editor) / Mirchandani, Pitu (editor) / Voß, Stefan (editor) / Kimpel, Thomas J. (author) / Strathman, James G. (author) / Callas, Steve (author)

Published in:

Computer-aided Systems in Public Transport ; Chapter : 13 ; 253-280

Lecture Notes in Economics and Mathematical Systems ; 600

Publication date :

2008-01-01

Size :

28 pages

ISBN :

978-3-540-73312-6 , 978-3-540-73311-9

ISSN :

0075-8442

DOI :