Empirical Study on the Accuracy and Precision of Automatic Passenger Counting in European Bus Services

Author:

Olivo Alessandro,Maternini Giulio,Barabino Benedetto

Abstract

Background: An Automatic Passenger Counting system represents a powerful resource for an efficient operational planning of public transport companies, but it gives rise to several challenges such as accuracy and precision, which must be addressed in order to operate successfully. Objective: Unlike previous studies in the North American bus market, this paper evaluates the accuracy and precision of an infrared APC system in a European bus market. Methods: The accuracy is evaluated by considering: (i) the presence/absence of the error and its direction; (ii) the magnitude of the error disregarding the direction and (iii) some tests on the nature of the error. The precision is evaluated by direct and inverse regression models and some t-test on biases. Results: As for accuracy, a small average magnitude of the errors is observed. In addition, the APC accurately measures alighting passengers, while it presents a slight tendency to systematically undercount boarding passengers. As for precision, the amount of measurement error due to the APC system exists and, even if it is relatively contained, it is statistically significant for boarding and alighting passengers. Conclusion: Although one type of APC system is evaluated only on one bus, it seems quite accurate for recording alighting passengers, whereas a correction factor should be applied for boarding passengers.

Publisher

Bentham Science Publishers Ltd.

Subject

Transportation,Modeling and Simulation

Reference42 articles.

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2. CEN/TC 320. ‘Transportation – Logistics and services. European Standard EN 15140: Public passenger transport – Basic requirements and recommendation for systems that measure delivered service quality 2006.

3. Schwandt H, Baerwolff G. 2010; Validation of Automatic Passenger Counting in Public Transportation Systems Proceedings of the Ninth International Conference on Information and Management Sciences 1-9..

4. Furth PG, Hemily B, Muller T, Strathman J. Using Archived AVL-APC Data to Improve Transit Performance and Management 2006. TRCP 113.

5. Barabino B, Di Francesco M, Mozzoni S. An offline framework for handling automatic passenger counting raw data. IEEE Trans Intell Transp Syst 2014; 15 (6) : 2443-56.

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