实例探究 > Reducing Congestion and Optimizing Signal Timing Systems With Miovision Solutions

Reducing Congestion and Optimizing Signal Timing Systems With Miovision Solutions

公司规模

Mid-size Company

地区

America

国家

Canada

产品

Miovision TrafficLink
Surtrac Adaptive Traffic Signal Control System

技术栈

Adaptive Signal Control
Traffic Data Analytics

实施规模

Pilot projects

影响指标

Cost Savings
Environmental Impact Reduction
Productivity Improvements

技术

分析与建模 - 实时分析
功能应用 - 远程监控系统

适用行业

城市与自治市
运输

适用功能

物流运输
商业运营

用例

智慧城市运营
交通监控
过程控制与优化

服务

数据科学服务
系统集成

关于客户

The City of Peterborough, located in Ontario, Canada, is a mid-sized city grappling with traffic congestion on its busiest streets. Lansdowne Street, a 1.75 km corridor, is a major commercial area with a high volume of traffic, carrying between 23,000 and 29,500 vehicles daily. The city is committed to improving public road safety and reducing greenhouse gas emissions, aligning with global initiatives. To address these challenges, the city sought innovative solutions to optimize traffic flow and enhance the overall level of service on its roads.

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挑战

Traffic congestion is a significant issue in cities worldwide, leading to increased accident risks and CO2 emissions. The City of Peterborough, Ontario, faced severe congestion on its busiest streets, particularly on Lansdowne Street, a high-capacity arterial road. Traditional Time-of-Day (TOD) signal timing systems were inefficient, requiring significant labor and budget for configuration changes. The city needed a more adaptive and efficient solution to manage traffic flow dynamically and reduce congestion, emissions, and user costs.

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解决方案

The City of Peterborough implemented Miovision TrafficLink and Surtrac adaptive traffic signal control systems as part of a pilot project on Lansdowne Street. These systems collect continuous data on traffic volumes, speeds, and congestion, allowing real-time adjustments to signal timings. The adaptive signal control software uses multiple detection zones to simulate vehicle models approaching intersections, coordinating with neighboring signals for optimal traffic flow. This approach maximizes throughput during peak times and minimizes queuing during lighter traffic, automatically switching objectives based on actual demand. The city conducted 'ON-OFF' testing, alternating adaptive control with traditional TOD control, to evaluate performance improvements.

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运营影响

The adaptive signal system reduced corridor stops by 37% eastbound and 53% westbound, improving traffic flow.
The system improved the corridor level of service, increasing capacity by approximately 6%.
Adaptive control increased side street vehicle delay by 63% during peak periods, reallocating green time to manage main street traffic.
The project demonstrated significant improvements in traffic signal efficiency, providing cost savings in time and fuel consumption.
The adaptive system's success led to $1,000,000 in capital funding for expansion to other high-traffic corridors.

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数量效益

The pilot project resulted in approximately $977,000 in reduced user costs annually.
Fuel savings were estimated at 106,700 liters per year, equating to about $213,000 annually.
The reduction in fuel use led to an estimated decrease of 273 tons of CO2 emissions annually.
Vehicle delay decreased by 41.3% and split failures by 46.4% in the westbound direction during peak times.

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