The shift toward sustainable mobility is one of the greatest challenges of the 21st century. According to the World Bank, passenger transport demand could increase by 75% by 2050 compared to 2019 levels. If nothing is done to offset the climate impact of transportation, this could lead to a 60% rise in GHG emissions during the same period. It is therefore essential to prioritize environmentally friendly modes of transportation.
Thanks to rapid advances in artificial intelligence (AI), innovative solutions are emerging to optimize traffic management and reduce the carbon footprint of transportation. Designing efficient, safe, and economically vibrant mobility solutions—while protecting environmental integrity—is a challenge we take on with our clients by leveraging cutting-edge technological tools.
Our expertise in this area is built on three main pillars:
AI-powered traffic management systems collect massive amounts of data from smart vehicle sensors and traffic cameras. Real-time analysis of this data provides drivers and public transit users with up-to-date traffic conditions, improving the flow of vehicles and passengers.
These AI-based systems—also known as Advanced Traffic Management Systems (ATMS)—integrate real-time data from cameras, LIDAR/radar sensors, and GPS into a centralized platform to dynamically and automatically adjust traffic signals and detect incidents.
Smart connected Variable Message Signs (VMS) are another valuable tool, providing road users with dynamic updates about congestion, accidents, and suggesting alternative routes.
Predictive navigation apps like Waze, Here, and TomTom AI, which use historical and real-time data to forecast traffic jams, offer optimized routes to help users plan their trips and avoid congested areas. Whether through embedded geolocation systems or information systems in public transit, the collected data refines prediction models and delivers precise real-time traffic updates.
This allows drivers to adjust their routes and enhances the experience of public transit users. These technologies help ease congestion in busy areas while reducing fuel consumption and carbon emissions.
For municipalities, charging infrastructure operators, and public transit agencies managing electric vehicle (EV) fleets, the growing electrification of transport demands accurate assessment of charging needs. The challenge is to provide users with a scalable infrastructure that evolves with demand.
Technologies like IoT sensors for charging stations enable real-time monitoring of charger status, maintenance alerts, and data collection for continuous network optimization.
Several tech solutions also help optimize charging schedules and station occupancy rates. Energy Management Systems (EMS) for EV chargers can dynamically allocate available power to vehicles based on priorities such as state of charge (SOC), departure time, and usage schedules. These systems can even integrate with Building Management Systems (BMS).
In public transportation, AI algorithms can play a crucial role by adjusting supply and demand in real time, offering an eco-friendlier and more efficient alternative to individual car use. By easing traffic management, AI becomes a strategic tool for improving public transit network efficiency.
Analyzing usage habits, passenger flows, and crowd levels using onboard sensors, RFID cards, or mobile data allows transit services to be scaled to meet the real needs of users—based on the most used and efficient modes of transport.
With AI-powered multimodal intelligent transport systems, known as Mobility as a Service (MaaS), centralized apps can offer personalized and optimized multimodal routes—combining buses, bikes, trains, and carpooling.
Finally, algorithms for dynamic scheduling and routing, often referred to as "on-demand transit," make it possible to automatically reorganize bus or microtransit routes and schedules based on real-time and historical demand data.
These technologies demonstrate AI's potential to optimize network intermodality and energy efficiency while enabling more precise management of public budgets.
At Cysca technologies, sustainable mobility is at the core of our innovation. From drafting technical specifications and designing the electronic architecture of rolling stock, to engineering complex systems for the transition to clean energy and programming intelligent transportation system features, we harness the expertise of our seasoned team to tackle the challenges of sustainable mobility.
By combining smart infrastructure, big data, and AI, we design innovative systems tailored to our clients’ specific needs.
