7. Our Solution
Koober. An open-source interactive website for
visualizing past and predicting future taxi demand.
Koober
8. Why Koober?
Demand Analysis + Prediction. Empower taxi
owners with valuable rider information backed by
past trends.
Koober
Anyone in Ride Sharing Industry. Plan more
appropriate routes and make better transportation
decisions.
9. So how does it work?
Koober
1. Choose your info need: analysis or prediction.
OR
10. So how does it work?
Koober
2. Adjust your input query parameters.
11. So how does it work?
Koober
3. Visualize taxi demand on the heat maps.
12. So how does it work?
Koober
4. Make more informed taxi resource decisions.
13. Let’s try it out!
https://koober-dashboard.herokuapp.com/
Koober
14. How does it really work?
Koober
Train and test machine learning models.
Display demand on interactive heat maps.
15. What have we done?
Koober
Task 1: Generate dataset and extract features.
Task 2: Build various machine learning models.
Task 3: Develop the website and dashboard interface.
Task 4: Integrate Mapbox data visualization.
16. Raw Data
NYC Taxi & Limousine Commission:
Yellow Taxi Cab Dataset
Koober
Weather Underground API:
• Historical Weather Data
• Current Conditions
• 10-Day Forecast
Task 1
17. Demo Data Loader
Koober
Task 1
Development Production
• Generate fake traffic data
based on user-defined
parameters
• Simplify debugging and
validating the model
prediction result
• Process NYC Taxi Data and
integrate with the historical
weather data
• Incorporate Kafka to
facilitate importing large
amount of training data
19. Location Clustering
Koober
Preparator:
• K-Means Location Clustering
(200 clusters)
• Each cluster represents a
neighborhood geographically
• Demand Aggregation per Unit
Time Interval and Location
Cluster
Task 1
20. What have we done?
Koober
Task 1: Generate dataset and extract features.
Task 2: Build various machine learning models.
Task 3: Develop the website and dashboard interface.
Task 4: Integrate Mapbox data visualization.
21. Koober
Task 2
Gradient-Boosted Trees
Linear Regression with Stochastic Gradient Descent
Neural Network
Random Forest
Ridge Regression
Multiple Models. Supports many classic individual
and combined machine learning models.
Models
24. What have we done?
Koober
Task 1: Generate dataset and extract features.
Task 2: Build various machine learning models.
Task 3: Develop the website and dashboard interface.
Task 4: Integrate Mapbox data visualization.
25. What have we done?
Koober
Task 1: Generate dataset and extract features.
Task 2: Build various machine learning models.
Task 3: Develop the website and dashboard interface.
Task 4: Integrate Mapbox data visualization.
27. Koober
How can the taxi industry utilize past data
to predict the future needs of their riders?
Looking Back
Koober. An open-source interactive website for
visualizing past and predicting future taxi demand.
Website Data
Machine
Learning
Visualization
28. Koober
How can the taxi industry utilize past data
to predict the future needs of their riders?
Looking Back
Koober. An open-source interactive website for
visualizing past and predicting future taxi demand.
Website Data
Machine
Learning
Visualization
29. Koober
How can the taxi industry utilize past data
to predict the future needs of their riders?
Looking Back
Koober. An open-source interactive website for
visualizing past and predicting future taxi demand.
Website Data
Machine
Learning
Visualization
30. Koober
How can the taxi industry utilize past data
to predict the future needs of their riders?
Looking Back
Koober. An open-source interactive website for
visualizing past and predicting future taxi demand.
Website Data
Machine
Learning
Visualization
31. Koober
How can the taxi industry utilize past data
to predict the future needs of their riders?
Looking Back
Koober. An open-source interactive website for
visualizing past and predicting future taxi demand.
Website Data
Machine
Learning
Visualization