Additional Resources of Container Ship Traffic Model for Simulation Studies

This dataset comprises instances of container ship traffic. They can be used, e.g., to test algorithms for Berth Allocation Problem (BAP). The instances are built on the basis of probabilistic models derived from real container ship traffic data of five ports: Hamburg, Le Havre, Rotterdam, Shanghai, Singapore. By the rules of the granted access we are not allowed to release the source data. Therefore, probabilistic models of vessel traffic were built first. Then, values of the following arriving vessel parameters were drawn pseudo-randomly according to the probabilistic models:• number of the ship arrivals n,• ship ready (arrival) times, r_j,• ship processing (service) times, p_j,• ship lengths, L_j,• ship importance (or value, weight), w_j.The generated datasets retain features of the original traffic such as:- ship size distributions,- ship processing time distributions and their dependence on the ship sizes,- ship return interval distributions and their dependence on the ship sizes.Details on the obtained parameter distributions can be found in the report mentioned below. The test instances include also lengths of the berths in container terminals present in the above ports. Test InstancesThe test instances were generated for a year timespan, with different weekly intensities. Since vessel arrivals are generated following return interval distributions, the actual number of arrivals may slightly differ from the product of the number of weeks in a year and weekly intensity. Instance File FormatInstance files are text files with data in the following order:- 1st line: number of the ship calls at a port (n)- lines 2 to n+1 - ship data (in the order): id (j), ready time (r_j) in hours since the beginning of a year, length (L_j), processing time (p_j) in hours, weight (importance, e.g. cost of moving the containers, w_j), ship owner (o_j - can be ignored)- line n+2: number of berths (m) - line n+3 (the last line): berth lengths (\lambda_1,...,\lambda_m) File Name Conventionportintensityninst#.txt where:port - is an abbreviation of port name: hb - Hamburg, lh - Le Havre, rt - Rotterdam, sh - Shanghai, si - Singapore;intensity - is the number of weekly ship arrivals;n - just letter n;inst# - is the number of the instance. The instances are collected in the following files # instances comments 1. intensity20.zip intensity 20/week 2. intensity50.zip intensity 50/week 3. intensity100.zip intensity 100/week 4. intensity200.zip intensity 200/week 5. intensity500.zip intensity 500/week