A web system for map-matching trajectories on road networks
It is expected that by 2050, more than 2.5 billion people will reside in cities. With the proliferation of location sensing devices, the generation of large urban mobility data such as Global Positioning System (GPS) data points has exploded. This big data embeds rich knowledge about traffic flow an...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/162936 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | It is expected that by 2050, more than 2.5 billion people will reside in cities. With the proliferation of location sensing devices, the generation of large urban mobility data such as Global Positioning System (GPS) data points has exploded. This big data embeds rich knowledge about traffic flow and control, route planning, fare calculation for ride-hailing applications and so on.
However, the GPS data recorded are often noisy and do not match the road. There is a need to match these noisy GPS data points to edges in an existing street network to have an accurate depiction of the travel route that was taken by a vehicle. This process is known as map-matching. Map-matching the GPS data points allows them to provide more value and insights for further analysis.
This project aims to design a web system that utilises map-matching algorithms to model and predict these dynamics based on the GPS data collected from different domains in the urban space. More specifically, users can utilize the web system to compare recorded geographic coordinates to a logical representation of the real world using different map-matching algorithms. |
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