Validating traffic models using large-scale automatic number plate recognition (ANPR) data

Show simple item record Robinson, A. Venter, C.J. (Christoffel Jacobus) 2020-04-29T08:36:17Z 2020-04-29T08:36:17Z 2019
dc.description.abstract The development of reliable strategic traffic models relies on comprehensive and accurate data, but traditional survey methods are time-consuming and expensive. Manual surveys often yield small samples that require estimated expansion factors to enable the data to represent the population. Modellers have turned to new data sourced from various electronic devices to improve the reliability of the data. Automatic Number Plate Recognition (ANPR) data is one such data source that can be used to extract travel time, speed and partial origin-destination (OD) information. This study assesses ANPR data in terms of its comprehensiveness and accuracy, and shows how it can be used for the validation of strategic traffic models. Data was obtained from the Gauteng freeway system’s Open Road Tolling (ORT) gantries for a period of several months. A new methodology is developed to process traffic model outputs such that they are directly comparable to the partial origin-destination outputs derived from the ANPR data. It is shown that comparing the model distribution against observed ANPR data highlights potential trip distribution issues that are not detected using standard model validation techniques. en_ZA
dc.description.department Civil Engineering en_ZA
dc.description.librarian am2020 en_ZA
dc.description.uri en_ZA
dc.identifier.citation Robinson A, Venter C. Validating traffic models using large-scale Automatic Number Plate Recognition (ANPR) data. Journal of the South African Institution of Civil Engineering 2019:61(3), Art. #0402, 13 pages. 10.17159/2309-8775/2019/v61n3a5. en_ZA
dc.identifier.issn 1021-2019 (online)
dc.identifier.other 10.17159/2309-8775/2019/v61n3a5
dc.language.iso en en_ZA
dc.publisher South African Institution of Civil Engineering en_ZA
dc.rights All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License. en_ZA
dc.subject Traffic models en_ZA
dc.subject Validation en_ZA
dc.subject Automatic number plate recognition (ANPR) en_ZA
dc.subject Origin-destination information en_ZA
dc.title Validating traffic models using large-scale automatic number plate recognition (ANPR) data en_ZA
dc.type Article en_ZA

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