As population and roadway usage change, traffic signals are a key focal point of increased demand on roadways.
With regular or extraordinary changes in how residents and businesses are distributed across a landscape, traffic signals must be retimed to ensure the smooth flow of travelers through a region’s corridors. But with traditional optimization processes showing high detector installation and maintenance costs and adaptive systems often lacking transparency into the analysis process, innovative solutions are needed to streamline traffic flow.
INRIX Signal Analytics
With INRIX, cities can approach signals differently. INRIX Signal Analytics uses data from “probe” vehicles, where interconnected cars & trucks provide detailed information on each trip through an intersection. This enables Signal Analytics to run without infrastructure installation, significantly reducing detection expenses and allowing streamlined access to data without ever leaving the office.
With substantial amounts of intersection data, INRIX Signal Analytics provides a series of data tools ranging from a high-level dashboard refined for strategic overviews all the way through detailed analysis for each intersection in a network. This empowers agencies to:
- Identify potentially problematic corridors and intersections
- Validate models or public feedback without a lengthy survey
- Adjust signal retiming or other intersection projects based on real data and measuring their impact
Real-World Significance
INRIX Signal Analytics has already helped multiple city and state agencies across the United States:
- Austin, Texas, used INRIX-provided probe analytics to analyze the city’s roughly 1,000 intersections, identifying issues with signal timing 4-5 weeks faster than with traditional methods, reducing total delay by 21% and saving drivers an estimated $840,000 in time. Signal Analytics also provides the city with strengthened monitoring and management capabilities during major events.
- INRIX Signal Analytics served a key role in New York City’s analysis of congestion pricing’s effects, providing the city with critical data to verify hypotheses about the impact of both inside and outside the tolled zone.
- The Ohio Department of Transportation (ODOT) employs Signal Analytics alongside traditional detector-based systems and integrates probe-based and detector-based data together, allowing for quick identification and correction of detector failures.
Using INRIX Signal Analytics, proactive traffic management decisions can be made quickly, instead of reacting to traffic data from costly infrastructure-based detection systems. With turnkey ready systems and vast amounts of historical data to use, Signal Analytics provides agencies with data-driven insights that reduce congestion and improve safety across the map. Learn more about Signal Analytics at inrix.com/products/signal-analytics/ or watch the webinar.