Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/34083
Title: Inland Marine Transportation System travel time atlas via Automatic Identification System (AIS) data : Ohio River, Upper Mississippi River, and Illinois River
Authors: DiJoseph, Patricia K.
Mitchell, Kenneth Ned.
Tetreault, Brian J.
Marshall, Jonathan K.
Keywords: Ships--Automatic identification systems
Inland navigation
Navigation--Performance
Operations research
System analysis
Publisher: Coastal and Hydraulics Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: Technical Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/CHL TR-19-15
Abstract: The United States Army Corps of Engineers needs quantitative and statistically robust metrics to evaluate the performance of Navigation projects. In addition, voyage planning for waterway stakeholders requires accurate travel time estimates for intermodal connectivity. This study develops an Inland Marine Transportation System (MTS) travel time atlas. This study presents results for the Ohio River, Upper Mississippi River, and the Illinois River for 2013 and 2014. The study develops a methodology that is flexible and scalable across space and time and so is applicable to additional inland waterways and for additional years of data. The methodology applies automatic identification system data, which includes the discrete, time-stamped locations of vessels through space and time. Results include estimated number of transits, 25th, 50th (median), and 75th percentile travel times, average and median travel times, and total travel time above baseline by direction of travel and by week, month and year. Applications of the MTS statistical profile include optimizing vessel transit departure times, establishing system performance baselines, locating system bottlenecks and areas with most critical needs, comparing performance pre- and post-operations and maintenance, analyzing effects of different variables (e.g., water level, vessel type, traffic volume) on travel time, and measuring resiliency.
Description: Technical Report
Gov't Doc #: ERDC/CHL TR-19-15
URI: https://hdl.handle.net/11681/34083
http://dx.doi.org/10.21079/11681/34083
Appears in Collections:Technical Report

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