Case Study/ Miovision Scout
Case Study / Miovision Adaptive
How Peterborough Reduced Congestion and Cut Vehicle Delays by 41%
Peterborough faced growing congestion, rising emissions, and increasing delays along its busiest corridor. To address these challenges, the city piloted adaptive traffic signal control, using real-time data to improve signal timing and deliver measurable benefits for road users.
Download the Case Study$977,000
in annual user cost savings
20%
reduction in vehicle emissions
41.3%
reduction in vehicle delay during peak periods
46.4%
reduction in split failures
The Challenge: When Static Signal Timing Can’t Keep Up
Peterborough’s busiest corridor, Lansdowne Street, carries up to 29,500 vehicles per day and serves a dense commercial area. Like many cities, Peterborough relied on traditional time-of-day (TOD) signal timing—static programs based on historical traffic patterns. These systems required manual adjustments, significant staff resources, and struggled to respond to real-time traffic fluctuations, contributing to congestion, longer travel times, and increased emissions.The Approach: Real-Time Signal Timing With TrafficLink and Surtrac
To address these challenges, the City of Peterborough launched the Lansdowne Street Smart Signal Pilot Project, deploying Miovision TrafficLink with Surtrac adaptive traffic signal control across a 1.75 km corridor. Using existing traffic detection infrastructure, the city collected continuous data on:- Traffic volumes and speeds
- Travel times and congestion
- Signal performance and corridor health
The Results: Proven Gains Across Safety, Efficiency, and Sustainability
The adaptive signal control pilot delivered measurable improvements across efficiency, sustainability, and safety. This demonstrated the real-world impact of data-driven signal timing. Key Outcomes:- $977,000 in annual user cost savings
- 20% reduction in vehicle emissions
- 41.3% reduction in vehicle delay during peak periods
- 46.4% reduction in split failures
Who Should Read This Case Study
- Traffic & Transportation Engineers
- Municipal Traffic Operations Teams
- Smart City & Sustainability Leaders
- Agencies evaluating adaptive signal control
Download the Case Study
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