A demonstration of Advanced Urban Public Transportation System
Contents:
advanced-public-transportation-system
Software requirement
Preprocessing
Bus-stop detection
Extraction of trip travel time information
Arrival time prediction
A demonstration of Advanced Urban Public Transportation System
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Contents:
advanced-public-transportation-system
Executing this project
Executing this project Online (Using Binder)
Executing this project on a local system
Reference
Cite us
Software requirement
MongoDB database:
Python and related libraries:
SciPy, NumPy, Jupyter Notebook, Pandas, Matplotlib
scikit-learn
PyMongo
pytz
Folium
Preprocessing
Introduction
System model
Store raw location records into MongoDB
Bound definition
MongoDB Collection record and it’s representation
Filtering
Outlier removal
Segmentation and interpolation
References
Bus-stop detection
DBSCAN algorithm
Steps to find the cluster in a data-set
DBCAN based bus-stop detection
References:
Extraction of trip travel time information
Arrival time prediction
Weight and estimate computation
Arrival time prediction
Indices and tables
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Index
Module Index
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