Sustainable and connected mobility: the new challenges
With the integration of AI in transportation, a future of stress-free, accident-free, and emission-free driving becomes a reality. By leveraging technologies like computer vision and machine learning, AI enhances road safety and traffic management. Real-time monitoring, hazard detection, optimized traffic flow, and advanced driver assistance systems are made possible. Harnessing AI in transportation advances efforts to eliminate accidents and create a safer, sustainable mobility environment. This technology aligns with the original definition of AI by professor John McCarthy in 1956. Companies actively work on projects related to Big Data, connected mobility, and intelligent apps.
Applications of AI in Transportation
According to a Microsoft report, by 2025, all new cars will be connected to each other, and by 2030, 15% of new vehicles will be autonomous. These vehicles will generate, transmit, and analyze vast amounts of data. Municipalities, manufacturers, workshops, insurers, traffic authorities, and emergency services can utilize this information to improve mobility processes. Here are some ways in which Artificial Intelligence can advance the mobility sector:
- The reduction of road accidents is achievable through the collection and analysis of vehicle data. By identifying causes such as breakdowns, fatigue, weather conditions, and distractions, we can improve driving safety. Notifying drivers and companies about potential similar occurrences enhances safety measures.
- Predictive Maintenance: Algorithms can detect potential errors based on statistical data from similar car models and driving conditions. This allows for scheduling visits to the workshop for vehicle owners.
- On-Demand Public Transport: Demand-based route planning considering historical and real-time data can optimize public transportation services.
- Smart Logistics: By tracking operator patterns and implementing predictive ordering, delivery times can be reduced, and warehouse stock levels can be optimized.
Connected and emission-free: The vehicle of the future
The current challenge facing society is to develop mobility solutions that are environmentally sustainable and meet citizens' demands. Respecting and caring for the planet are paramount.
Artificial Intelligence in transportation enables connected vehicles that produce zero emissions and feature automatic emergency calls and personal assistants. Manufacturers collaborate with AI companies to develop vehicles capable of object recognition, evaluating complex traffic situations, enhancing road safety, and optimizing drivers' time.
AI in Transportation and mobile applications
Alicia Asín, an expert in Artificial Intelligence and CEO of Libelium, emphasizes the importance of mobile applications promoting sustainable mobility and the challenges they face in the near future.
The development of mobile applications and shared transport methods (e.g., scooters, electric motorcycles, car-sharing services) has greatly improved traffic flow in large cities. However, some cities struggle to create mobility plans based on objective data derived from users' consumption patterns. Understanding citizens' needs and preferences in their daily movements is crucial for adapting resources and plans accordingly. Otherwise, society may evolve without proper urban planning by public officials.
Another aspect of mobility that requires attention is the utilization of parking resources in public and private spaces. Investing in parking space detection technologies and integrating them with mobile applications can enhance the user experience, reduce traffic congestion, gas emissions, and time wasted by drivers. This is a significant challenge for both city councils and private facility managers (e.g., airports, hospitals, universities, shopping centers). Even in our homes, we can contribute to sustainable mobility by making our garage spaces available to users when they are not in use.
The best approach is to leverage technology for the benefit of citizens and end users. By facilitating mobility rather than restricting it, we can progress toward a more sustainable and environmentally friendly model.
