Nowadays, the major Public Transportation Companies around the world use intelligent
transportation systems based on automated data collection frameworks.
The existence of these data has driven to the development of new approaches to
the operational planning of public transportation. These approaches, commonly
known as ADC-based operational planning strategies (ADC from Automated Data
Collection), to improve public transportation reliability consist of adjusting the
definitions made on the initial steps of the operational planning process by using
real-world data. This type of changes concentrates mainly on restructuring routes
and adjusting the existing schedule plan (SP). However, the usefulness of such
tunings from a company point-of-view is often of difficult evaluation.
This paper starts by presenting a brief review on improving the network definition
based on historical location-based data. Then, it presents a broad review
on ADC-based evaluation techniques of the schedule plan reliability, discussing
the existing metrics.The purpose of this paper is to critically describe the performance indicators used
in the evaluation of the SP reliability, following the aforementioned bibliographic
reviews. They will be certainly useful to shape the approaches developed by
the research community for improving the quality of public road transportation
operations based on data collected by ADC systems.
This paper focuses on two different, yet highly related, approaches: 1) changing
the network definition; 2) evaluating and adjusting the SP in place. The automatic
control strategies and the different actions to improve the SP remain out of the
scope of this paper.