Case Study / Miovision Adaptive
Comment Peterborough a réduit les embouteillages et diminué les retards liés à la circulation de 41 %
Peterborough était confrontée à une congestion croissante, à une augmentation des émissions et à des retards de plus en plus fréquents sur son axe routier le plus fréquenté. Pour relever ces défis, la ville a mis en place un projet pilote de gestion adaptative des feux de signalisation, utilisant des données en temps réel pour optimiser la synchronisation des feux et apporter des avantages tangibles aux usagers de la route.
Télécharger l'étude de cas$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