The Historical Data Analysis (HDA) module stores traffic speed data for further offline analysis.
HDA APIs allow you to set different strategies in re-using Flows data.
You can manage these use cases as follows:
- Historical Data Analysis: By storing traffic speed data, traffic managers can examine historical trends and patterns, to understand long-term traffic behaviour and to identify recurring congestion points.
- Performance Evaluation: Traffic management authorities can evaluate the effectiveness of implemented traffic management strategies by comparing historical data before and after the implementation of new measures.
- Incident Analysis: Stored data can provide insights into the conditions leading up to the incident, to improve response strategies and prevent future occurrences.
- Policy Making: Policymakers can use historical traffic data to make informed decisions about infrastructure development, traffic regulations, and urban planning.
- Research and Development: Stored data can be used for various studies related to traffic flow, congestion management, and transportation efficiency.
Optimization of Traffic Signals: By analysing historical traffic speed data, traffic signal timings can be optimized to improve flow and reduce congestion.
For these reasons, we provide two main ways to access data:
- Retrieving a KPI for a corridor over a chosen time range with all its details, to allow users to analyse performance metrics comprehensively and help them understand trends and patterns over specific periods of time.
- Retrieving a specific day and hour for the entire network (a snapshot in the past), to allow users to understand what happened throughout their network and why. It enables users to go forward and backward from a specific point of interest.