Design and development of neuro fuzzy techniques for monitoring traffic conditions
Singapore has one of the most cost-efficient and well-developed public transport networks in the world. Even though Singapore has the “first world” public transport, it is now critically suffering due to the increase in congestion, overcrowding and crowd bottleneck. With the growth of the population...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/10356/72026 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Singapore has one of the most cost-efficient and well-developed public transport networks in the world. Even though Singapore has the “first world” public transport, it is now critically suffering due to the increase in congestion, overcrowding and crowd bottleneck. With the growth of the population, the trains and buses will be stretched to the capacity and thus lead to increase in the number of commuters using the public transport thus leading to further increase in overcrowding, congestion etc.
In this report, we will discuss about intelligent systems that would analyse and predict traffic flow in order to curb with congestion and overcrowding. Furthermore, ‘classical’ mathematical techniques cannot accurately model the commuter’s ambiguities and uncertainties, and traditional analytical techniques are not effective when analysing the commuter’s behaviour and traffic conditions. Henceforth, this report will use fuzzy logic as the base of analysis for monitoring commuter’s behaviour. |
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