Today, we're exploring how Montreal is embracing the future of smart cities by using artificial intelligence to unclog its streets.

An initiative that promises to transform traffic management in the metropolitan area.

Kirkland: A Pioneer in Road AI on Saint-Charles Boulevard

The City of Kirkland is deploying a smart traffic light system on key sections of Saint-Charles Boulevard.

 This is not a system of permanently "green" lights, but much more sophisticated technology:

• How it works: Instead of predefined light cycles, these systems use sensors and cameras to analyze traffic in real-time (number of vehicles, speed, queues, pedestrians).

Artificial intelligence algorithms process this data and dynamically adjust the duration of green and red lights, prioritizing the most congested routes or adapting to unforeseen events.

• Objectives: To reduce waiting times at intersections, improve traffic flow, decrease fuel consumption, and lower polluting emissions.

Other Applications and Developments of AI in Traffic Management in Montreal

The Kirkland initiative is not an isolated case but part of a growing trend in Montreal to integrate AI and smart technologies into urban management:

1. On Major Arteries and Strategic Sectors:

   • The City of Montreal and the Ministry of Transport of Quebec (MTQ) already use adaptive management systems on certain major boulevards and highways.

For example, on sections of Henri-Bourassa Boulevard, Décarie Expressway, or routes leading to bridges, sensors and cameras help modulate lights, variable

message signs, and highway ramp access.

These systems are not always labeled "AI" for the general public, but they integrate advanced algorithmic logic to optimize flows.

1. Urban Mobility Management Center (CGMU): The City of Montreal operates a CGMU that centralizes the monitoring and management of the road network.

This center increasingly integrates tools based on big data analysis and machine learning to anticipate and react to traffic problems.

2. Pilot Projects and Research:

   • Montreal universities (Polytechnique Montréal, McGill, Concordia, UQAM), thanks to the city's flourishing AI ecosystem, conduct active research on applying AI to traffic management, public transport, and urban logistics.

Some of these projects lead to concrete pilots in partnership with the city.

Implications and Benefits for Montreal

The adoption of smart traffic lights and other AI-based technologies offers multiple advantages for the metropolis:

1. Reduction of Congestion and Improvement of Flow:

   • This is the most obvious benefit. Less time spent in traffic means less stress for drivers and better efficiency for freight and public transport.

   • Estimates: Studies on such systems elsewhere in the world show reductions in travel time ranging from 10% to 25% on equipped routes, and reductions in stops of over 30%.

2. Positive Environmental Impact:

   • Fewer stops, starts, and idling periods: this translates into a significant decrease in greenhouse gas emissions and air pollutants.

This is an important step towards the city's sustainable development goals.

2. Estimates: Emission reductions of around 15% to 20% are often observed with adaptive systems.

3. Improved Road Safety:

   • Smoother, less chaotic traffic can potentially reduce the number of accidents at intersections, particularly those related to last-minute maneuvers or aggressive behavior due to frustration.

4. Public Transport Efficiency:

   • AI systems can be configured to prioritize buses and trams, improving public transport punctuality and making its use more attractive.

5. Economic Attractiveness and Innovation:

   • As a global AI hub, Montreal consolidates its reputation by integrating these technologies into its own urban infrastructure.

This attracts businesses, investments, and talent in the field of smart cities.

The city becomes an urban "laboratory," testing and exporting its expertise.

5. Increased Quality of Life:

   • Less time wasted in traffic, less noise and air pollution, less stress for commuters: all these elements directly contribute to a better quality of life for residents.

A Step Towards the Smart City of Tomorrow

The integration of smart traffic lights in Kirkland and on other Montreal arteries is much more than a simple technological update; it is a strategic investment in the future of the metropolis.

By leveraging its flourishing AI ecosystem, Montreal is positioning itself as a leader in creating more efficient, cleaner, and more livable cities.

Citizens can expect smoother commutes and an improved urban environment as this technology rolls out.