Monitor and Improve Transit Service Reliability Using Automatic Data Collection System

Unreliability is regarded as a widespread problem associated with transit services, while

automatic data collection (ADC) systems pose as an opportunity to monitor and improve this

problem. The proposed research is expected to develop an ADC-based reliability

measurement framework usable for operations planning, strategic planning and

benchmarking at different levels; and apply the ADC-based measurement framework to

transit service reliability monitoring, improvement and information provision in the context of

Translink in metro Vancouver. The results of this research will provide Canadian transit

agencies such as Translink with a multi-level, multi-perspective, multi-modal reliability

measurement framework. The ability to quantify reliability continuously and ubiquitously will

enable agencies to examine reliability variations within the system and pinpoint the most

unreliable services and their contributing factors; design a reliability-oriented service planning

process, and provide customer information on service reliability. Finally these measures will

be aggregated into the Key Performance Indicators so that service reliability can be more

directly fed into transit agencies’ decision-making process.

Faculty Supervisor:

Jinhua Zhao

Student:

Partner:

TransLink

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

The University of British Columbia

Program:

Accelerate

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