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City Junction Traffic Time Series
Data Science and Analytics
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About
This dataset provides Internet of Things (IoT) time series data for predicting urban traffic patterns. Its primary purpose is to assist in transforming a city into a smart city by improving the efficiency of public services and informing future infrastructure planning. The data focuses on traffic conditions at four key city junctions, aiming to help authorities understand and manage traffic peaks and overall flow. It is particularly valuable for developing robust traffic systems, considering how patterns differ on holidays and special occasions compared to typical working days.
Columns
- ID: A unique identifier for each record in the dataset.
- Vehicles: The number of vehicles, serving as the target variable for predictions.
Distribution
The dataset is typically provided in CSV format. The sample file provided is approximately 188.94 kB in size, containing around 11,800 records or rows, as indicated by the valid entry counts for its columns.
Usage
This dataset is ideal for time series forecasting and regression analysis to predict future traffic volumes. Key use cases include:
- Managing city traffic more effectively.
- Strategic infrastructure planning and development.
- Preparing for anticipated traffic peaks and congestion.
- Developing robust and responsive traffic management systems.
- Serving as a foundational dataset for larger smart city transformation projects.
Coverage
The dataset covers traffic patterns across four distinct junctions within a city. It comprises historical data spanning 20 months, though sensors collected data at varying times, leading to some junctions having limited or sparse information. The objective is to use this historical data to project traffic patterns for the subsequent four months. It also highlights the importance of accounting for differing traffic behaviours on holidays and special occasions.
License
CC0: Public Domain
Who Can Use It
This dataset is particularly useful for:
- Government agencies and municipal authorities engaged in smart city initiatives and urban development.
- Data scientists and machine learning engineers focused on IoT data analysis, predictive modelling, and infrastructure planning.
- Urban planners and transportation departments seeking insights for traffic flow optimisation and future readiness.
- Researchers and developers working on intelligent transportation systems.
Dataset Name Suggestions
- Smart City Traffic Prediction Data
- IoT Urban Traffic Forecast
- City Junction Traffic Time Series
- Urban Mobility Pattern Dataset
- Traffic Flow Prediction for Smart Cities
Attributes
Original Data Source: City Junction Traffic Time Series
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