Spatial thinking and learnings using AIS data

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Presentation transcript:

Spatial thinking and learnings using AIS data Marcus Justesen, GIS-analyst Ljubljana 2016-10-13

The Project – what are we doing? Work in progress, phase 2/3 : developing the tools and methods A pilot study has been done Next phase is implementation Partly funded by Vinnova ( Swedens Innovation Agency) Joint venture between Transport Analysis and Statistics Sweden (with a bit different objectives)

The Project – what are we doing? Input Output Port to port distance calculations by: Domestic/international/inland waters ship type List of vessels entered in Swedish ports Passage lines Traffic in county regions AIS data for Baltic Sea, years 2013-2015 Statistical results

Challenges Data must be restructured to better suit our purposes Data should be reduced We will in the end only use a small part of total data Part of filtering the data must be done geographicaly We must identify transports between Swedish ports Lines must be created from points Ports have to be created – using AIS data

Restructuring data: creating lines Four attributes are needed to create transport lines between ports: Ship id (MMSI) Position Time Ports This is not available to us so must be created

Using AIS data to create ports

High data resolution can be useful when creating ports Approx. 10 m

High data resolution can be useful when creating ports Low speed areas Original data Aggregated data (10m resolution)

Ports, status and results Work still in progress, but: Rough port areas created for all countries around Baltic Sea Good port areas created for Swedish ports

RAIS FTP Input (non AIS-data) cleaning? Index of Breakpoints 1 zip/2 weeks 1 .csv per dag 1 .csv per MMSI Pairwise points ”segment” in PostGIS Transport lines Selection of transport lines (port-port, Swedish waters) Index of Breakpoints FTP Look-up table ship (MMSI/IMO) Geographical areas: -Ports -County -Sea area -Baltic sea/inland water Port register , Transport analysis Lantmäteriet(map data) HELCOM Ship lists (per port) Traffic in County Traffic in sea areas Routes, indata distance matrix Processes in PostGIS cleaning? Output Input (non AIS-data) RAIS Historical AIS data

Index of breakpoints Entering port area Leaving port area

Index of breakpoints Some advantages of this: From each exit to next enter in the index a line can be created that represents the transports between ports (or within regions) Some advantages of this: We only create the lines we are interested in, e.g. transports between Swedish ports It makes us flexible and can create ad hoc tranport lines Saves us data storage space And we use this as input for the distance matrix model!

Distance matrix Distances between ports is used to calculate transport perfomance (tonne kilometers) Distance between ports should equal distance of the most common route. A transportation network is created Built from the line we created earlier, converted to raster with 1 km resolution. Additionial weights are added to the network: Destination density Most common route is calculated using shortest path analysis (the resulting route= route with least accumulated cost)

Distance matrix Problem Distances between ports is used to calculate transport perfomance (tonne kilometers) Distance between ports should equal distance of the most common route. A transportation network is created Built from the line we created earlier, converted to raster with 1 km resolution. Additionial weights are added to the network: Destination density Most common route is calculated using shortest path analysis (the resulting route= route with least accumulated cost)

Distance matrix Distances between ports is used to calculate transport perfomance (tonne kilometers) Distance between ports should equal distance of the most common route. A transportation network is created Built from the line we created earlier, converted to raster with 1 km resolution. Additionial weights are added to the network: Destination density Most common route is calculated using shortest path analysis (the resulting route= route with least accumulated cost) Real routes to Norrköping

Distance matrix Distances between ports is used to calculate transport perfomance (tonne kilometers) Distance between ports should equal distance of the most common route. A transportation network is created Built from the line we created earlier, converted to raster with 1 km resolution. Additionial weights are added to the network: Destination density Most common route is calculated using shortest path analysis (the resulting route= route with least accumulated cost) Real routes to Norrköping

Marcus justesen, phone: +46 10 479 49 61 Thank you! Marcus justesen, phone: +46 10 479 49 61 Marcus.justesen@scb.se