Big data analytics for smart transportation
The Singapore urban rail network, interior stations and tracks are highly correlated. If one or some specific stations were disrupted, it would impact the whole network gravely. Therefore, it is pivotal to recognize disruptions happening in these critical stations and put more human and material res...
| Huvudupphovsman: | |
|---|---|
| Övriga upphovsmän: | |
| Materialtyp: | Final Year Project (FYP) |
| Språk: | English |
| Publicerad: |
2019
|
| Ämnen: | |
| Länkar: | http://hdl.handle.net/10356/76997 |