Introduction
iNode's Route Monitoring Module is a core component of SMATS' analytics platform, purpose-built for monitoring and analyzing travel conditions across your road network in real time. The module collects and processes GPS probe data along corridors you define yourself, continuously calculating travel time, speed, and delay metrics at both the route and segment level against free flow and historically typical baselines. Rather than relying on point-based sensors, it builds a picture of route performance across your entire corridor, capturing how conditions evolve throughout the day, across different days of the week, or over longer time periods.
Before diving into your first study, it helps to understand what the Route Monitoring module is built to do and how it approaches route-level analysis. Understanding the scope of the available analysis ensures your study is configured with the right corridors, time ranges, and objectives so the results directly support the decisions you need to make.
Route Monitoring is available under two subscription types. Unlimited Monitoring runs on a fixed annual plan where your route data refreshes automatically at your configured update interval. On Demand gives you more targeted control, allowing you to define a specific daily window and update interval, with credits consumed per update rather than a flat annual rate.
The Route Monitoring module generates:
- Live monitoring table with real-time route comparisons
- Flow coverage and average confidence scores
- Exportable data for reporting and further analysis
All outputs are tied to your defined routes and reflect the date range and time period selected at the time of your study.
Metrics and Use Cases
Metric
The Route Monitoring Module delivers the following metrics:
- Travel time:
- Current real-time travel time (live)
- Free flow travel time (no-traffic conditions) (live)
- Typical travel time (historical average for the time of day)
- Delay:
- Delay relative to free flow, in minutes and as a percentage of free flow travel time (live)
- Unusual delay relative to typical conditions, in minutes and as a percentage of typical travel time (live)
- Speed:
- Current speed, both route level and segment level (live)
- Typical speed (historical average for the time of day)
Use Case
Understanding live and historical travel conditions is essential for effective traffic management, planning, and operational response. Route Monitoring equips transportation professionals, planners, and consultants with the ability to answer critical questions about network performance across a wide range of scenarios, such as:
- Monitoring and benchmarking route performance: Tracking live delay and travel time deviations against free flow and typical baselines to identify developing incidents, respond to peak-period bottlenecks, and evaluate corridor performance over time.
- Supporting signal retiming and operational adjustments: Using travel time and delay data to assess whether current operations are meeting performance targets.
- Conducting before-and-after studies: Evaluating the impact of infrastructure changes or policy interventions by comparing conditions over time.
- Reporting on network reliability: Communicating route performance and delay trends to stakeholders using consistent, probe-data-backed metrics.
- Prioritizing investment: Using persistent delay patterns to inform where capital investment or operational changes are most needed.
Key Components and Workflows
The Route Monitoring Module makes it easier to analyze various metrics through a guided workflow, ensuring flexibility while keeping studies easy to set up:
- Route Selection: Select the geographic boundary for your study, from specific segments to individual cities to entire regions.
- Date range and time set selection: Define precise ranges to capture short-term events or long-term patterns.
- Result delivery: Access comprehensive result pages with clear summaries, visualizations, and data exports for deeper analysis.
Data Sources
At its core, iNode’s Route Monitoring Module is powered by high-resolution GPS probe data. Data is collected from:
- Connected GPS devices
- Embedded vehicle telematics systems
- GPS-enabled mobile phones
This data is continuously archived, creating a robust historical traffic database. The result is a rich, scalable foundation for travel time, speed and volume studies that combine real-time insights with long-term context, making the Route Monitoring module a key component of iNode - an advanced traffic data analytics platform.
Data Availability and Updates
Route Monitoring data is continuously updated as it moves through iNode’s processing pipeline, where it is cleaned, aggregated, and validated to ensure consistent, reliable results. Data is typically available with a one-day lag, meaning studies can be submitted for as recent as yesterday or today; however, to achieve optimal sample sizes and the highest data quality, we recommend waiting up to 72 hours before submitting a study, as some GPS data providers deliver data with delays beyond 24 hours.