Vulnerable Road User Awareness Coming to Montreal Streets

  • Kapsch TrafficCom will provide video analytics and Connected Vehicle technology
  • System to be deployed across 19 intersections in Downtown Montreal
A view of montreal city buildings on a sunny day
Kapsch TrafficCom is a globally renowned provider of transportation solutions for sustainable mobility with successful projects in more than 50 countries

Kapsch TrafficCom is proud to announce a project award for traffic management and connected vehicle technology in the Canadian city of Montreal.

Across the Notre Dame corridor and in the city center in Montreal, Kapsch TrafficCom will address safety and mobility via it’s Orchestrated Connected Corridor (OCC) services suite. OCC uses traffic data from existing video cameras and connected vehicles to provide drivers with real-time notifications about Vulnerable Road Users and traffic authorities with traffic statistics tools.

JB Kendrick, President North America at Kapsch TrafficCom explains:

We are deploying our Orchestrated Connected Corridor with Video Analytics across 19 intersections in Downtown Montreal.

Embracing the power of deep learning, we are not only enhancing safety but we also provide city officials with real-time data that can make immediate impacts.

Sustainable and Low-Cost Real-time AI for Incident Detection

Orchestrated Connected Corridors are based on a services suite that enables digital transformation for highway and urban environments. They provide a basis for cohesive, consolidated and modular services for increased safety, mobility and sustainability, with the option to expand capabilities in the future as authorities’ needs continue to evolve. OCC’s architecture enables repeatable and scalable services such as Video Analytics, Predictive Analytics, Decision Support and Demand Management.

The central element of the system delivered by Kapsch TrafficCom is the Deep Learning Versatile Platform (DLVP) video analytics platform. It analyzes video feeds from existing cameras and processes it with AI in real time, improving response times to safety-critical events. DLVP is hardware agnostic, meaning that it can process data from various inputs and video formats, resolutions and frame rates. This allows for the solution to rely on existing hardware instead of requiring expensive additional traffic cameras, keeping costs down and enabling a more sustainable approach to traffic management.

While the platform itself can be customized to meet various needs of traffic management, situational awareness and road safety, the system in Montreal is aimed at detecting incidents, classifying vehicles and vulnerable road users (pedestrians & cyclists), wrong-way driving, congestion and other situations that are potentially dangerous.

In the event of an incident, a services dashboard will provide warnings and relevant information to their operators at the City’s traffic management center. The data from the DLVP will be fed into the Kapsch’s connected corridor management service, the Connected Mobility Control Center (CMCC), to broadcast specific alerts (congestion, stopped vehicles, pedestrians & bicycles on road) directly with drivers in the vicinity of the incident using connected vehicle technology.

This article was originally published by Kapsch TrafficCom.


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