ISSS608 2016-17 T3 Assign CHEN YINJUE Data Preparation

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Bird.jpg VAST Challenge 2017 : Help Rose-Crested Blue Pipit

Introduction

Data Preparation

Visualization & Insights

Conclusion

Dataset Description

The data visualization and analysis will be done based on a raw dataset named ‘Lekagul Sensor Data’ providing information of timestamp, car-id, car-type and gate-name (gates that a vehicle entered/passed by/exited in order). Below is the screenshot of the dataset:


Dataset screenshot.png


For car-type, when vehicles enter the Preserve, they must proceed through a gate and obtain a pass. The gate categorizes vehicles as follows:

• 2 axle car (or motorcycle)

• 2 axle truck

• 3 axle truck

• 4 axle (and above) truck

• 2 axle bus

• 3 axle bus


Vehicles receiving a pass with a “P” appended to their category are park service vehicles that have access to all parts of the Preserve. Currently, the Preserve vehicles are only 2 axle trucks, so they are designated as “2P” vehicle type. There are five types of sensors recording data.

• Entrances. All vehicles pass through an Entrance when entering or leaving the Preserve.

• General-gates. All vehicles may pass through these gates. These sensors provide valuable information for the Preserve Rangers trying to understand the flow of traffic through the Preserve.

• Gates. These are gates that prevent general traffic from passing. Preserve Ranger vehicles have tags that allow them to pass through these gates to inspect or perform work on the roadway beyond.

• Ranger-stops. These sensors represent working areas for the Rangers, so you will often see a Ranger-stop sensor at the end of a road managed by a Gate. Some Ranger-stops are in other locations however, so these sensors record all traffic passing by.

• Camping. These sensors record visitors to the Preserve camping areas. Visitors pass by these entering and exiting a campground.