Assigning a commodity dimension to AIS data: Disaggregated freight flow on an inland waterway network

Asborno, Magdalena I.; Hernandez, Sarah

doi:10.1016/j.rtbm.2021.100683

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…e algorithm compares the optimization problem to bird predation, and the optimal solution is the target food. Each bird is the particle in THE PSO algorithm, and all the particles move at a certain speed and track in space, and guide the behavior of the whole population to approach the target function through the function to be optimized [9]. Its essence is to use individual competition mechanism to generate local optimal solution, and then through information sharing and cooperation mechanism to generate global optimal solution.…”

Section: Track Prediction Model Based On Pso-lstm Pso Al-mentioning

confidence: 99%

Research on Vessel Speed Heading and Collision Detection Method Based on AIS Data

Wang

Fan

Zheng

et al. 2022

Mobile Information Systems

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In order to better predict the sailing information data of fishing boats, make accurate prediction and spacing budget for the sailing status of ships, achieve more accurate coordination and early warning in advance, and ensure the safety of fishing boats’ laneway, the essay combined the kinematics equation and artificial neural network model to adapt to the traffic situation of fishing boats in the far sea. A course and collision test technique based on ship AIS data is proposed, and the course collision detection method of fishing boats is studied by means of actual ship beacon collision accident data. Through the practical test, taking the navigation mark 4560.117 as an example, under the detection track of the navigation mark field corresponding to R = 70, the two ships have the same track, thus verifying the practicality and feasibility of the ship navigation mark collision detection method.

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Section: Track Prediction Model Based On Pso-lstm Pso Al-mentioning

confidence: 99%

Research on Vessel Speed Heading and Collision Detection Method Based on AIS Data

Wang

Fan

Zheng

et al. 2022

Mobile Information Systems

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“…Lastly, since each tow may push several barges, the amount of freight carried in each trip is unknown. To overcome the uncertainty in the volume of cargo carried by vessels on inland waterways, the authors have developed a stochastic approach based on the average number of barges carried by tug, as observed from LPMS data, and combined AIS with aggregated commodity databases (Asborno and Hernandez, 2021).…”

Section: Limitations and Future Workmentioning

confidence: 99%

Inland waterway network mapping of AIS data for freight transportation planning

et al. 2022

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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 multi-modal 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 timestamped 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.

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“…The Commission has proactively undertaken measures to champion the advancement of inland waterway transport through the Navigation and Inland Waterway Action and Development in Europe (NAIADES) program. This strategic initiative is geared toward not only endorsing, but actively fostering the transition, thus mitigating the pressures and congestion associated with conventional modes of transportation [6]. What is more, the deployment of a single vessel, with the capacity to supplant more than 100 trucks, holds the potential to ameliorate congestion issues and reduce the incidence of road network accidents.…”

Section: Introductionmentioning

confidence: 99%

Optimal Sailing Speeds and Time Windows in Inland Water Transportation Operations Management: Mathematical Models and Applications

Wang,

Liu,

Jin

et al. 2023

Mathematics

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Inland waterway transportation plays a pivotal role in advancing economic development and nurturing sustainable progress. It serves as a vital conduit linking communities, industries, and markets, thereby facilitating the seamless flow of essential commodities and fostering regional integration. However, in today’s era, marked by a resolute commitment to environmental responsibility and sustainability, inland shipping confronts formidable challenges, particularly pertaining to emission pollution and the escalating costs of fuel. These challenges represent significant impediments to the pursuit of environmentally conscious and sustainable growth by shipping companies. This research endeavor is geared towards the creation of a mathematical model that takes into account various factors, including the types of waterways, temporal constraints, and punctual arrival at the port of discharge. The primary objective is to empower shipping companies to make informed decisions about optimal sailing speeds and the most opportune time windows for entering one-way waterway segments. This, in turn, leads to reductions in fuel costs and waiting times for shipping companies, all while achieving cost minimization and mitigating emissions issues in inland waterway transportation. Ultimately, this research advances the cause of green and sustainable development in the inland waterway shipping sector. Specifically, this study focuses on routes that involve the dynamic transition between one-way and two-way segments. To accomplish this, an integer programming (IP) model is proposed to meticulously analyze the ideal sailing speed for each segment of the route and determine the optimal windows for accessing single-direction channels, thus representing a multistage decision-making process. Meanwhile, the model’s reliability is substantiated through a rigorous comparative assessment against three benchmark strategies (EAS, LAS, and MAS). In our experiments, the optimization model yielded a total cost for the entire inland waterway amounting to $80,626.20. This figure stands below the total costs of $87,118.14 under the EAS strategy and $83,494.70 under the MAS strategy (the LAS strategy failed to meet the port of discharge deadline), thereby conclusively validating its ability to guide vessels to their port of discharge within prescribed schedules, all while reducing overall operational costs and promoting sustainable and environmentally responsible practices.

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Assigning a commodity dimension to AIS data: Disaggregated freight flow on an inland waterway network

Cited by 4 publications

References 30 publications

Research on Vessel Speed Heading and Collision Detection Method Based on AIS Data

Research on Vessel Speed Heading and Collision Detection Method Based on AIS Data

Inland waterway network mapping of AIS data for freight transportation planning

Optimal Sailing Speeds and Time Windows in Inland Water Transportation Operations Management: Mathematical Models and Applications

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