Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/44500
Title: Inland waterway network mapping of AIS data for freight transportation planning
Authors: Asborno, Magdalena I.
Mitchell, Kenneth Ned
Hernandez, Sarah
Yves, Manzi
Keywords: Automatic identification system (AIS)
Mapping
Algorithms
Modelling
Publisher: Engineer Research and Development Center (U.S.)
Series/Report no.: Miscellaneous Paper (Engineer Research and Development Center (U.S.)) ; no. ERDC/CHL MP-22-1
Is Version Of: Asborno, Magdalena I., Sarah Hernandez, Kenneth N. Mitchell, and Manzi Yves. "Inland waterway network mapping of AIS data for freight transportation planning." The Journal of Navigation, Volume 75, no. 2 (2022): 251 - 272. https://doi.org/10.1017/S0373463321000953
Abstract: Travel demand models (TDMs) with freight forecasts estimate performance metrics for competing infrastructure investments and potential policy changes. Unfortunately, freight TDMs fail to represent non-truck modes with levels of detail adequate for multimodal infrastructure and policy evaluation. Recent expansions in the availability of maritime movement data, i.e. Automatic Identification System (AIS), make it possible to expand and improve representation of maritime modes within freight TDMs. AIS may be used to track vessel locations as time-stamped latitude–longitude points. For estimation, calibration and validation of freight TDMs, this work identifies vessel trips by applying network mapping (map-matching) heuristics to AIS data. The automated methods are evaluated on a 747-mile inland waterway network, with AIS data representing 88% of vessel activity. Inspection of 3820 AIS trajectories was used to train the heuristic parameters including stop time, duration and location. Validation shows 84·0% accuracy in detecting stops at ports and 83·5% accuracy in identifying trips crossing locks. The resulting map-matched vessel trips may be applied to generate origin–destination matrices, calculate time impedances, etc. The proposed methods are transferable to waterways or maritime port systems, as AIS continues to grow.
Description: Miscellaneous Paper
Gov't Doc #: ERDC/CHL MP-22-1
Rights: Approved for Public Release; Distribution is Unlimited
URI: https://hdl.handle.net/11681/44500
http://dx.doi.org/10.21079/11681/44500
Appears in Collections:Miscellaneous Paper

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