In the current context of the climate crisis, it's crucial to reduce carbon emissions in transportation. Egis is committed to this path by leveraging technological innovation, particularly through the use of artificial intelligence (AI), Big Data, and the Internet of Things (IoT).
The significance of emissions from transport is prompting Western societies to reconsider the carbon footprint of their transportation systems. Egis has embraced the global challenge of mobility decarbonization, exploring the environmental impact of greenhouse gas emissions and underscoring the urgency of transitioning to low-carbon transport systems. By examining the adverse effects of transport emissions on air quality, public health, and climate change, Egis supports its public clients in adopting sustainable and effective mobility solutions. For instance, integrating AI into urban traffic management can reduce congestion, thereby lowering exhaust emissions. This involves using smart sensors and advanced navigation systems to optimize traffic flow.
Artificial Intelligence at the Heart of Change
The world of AI holds great potential for transforming all aspects of transportation. AI algorithms optimize traffic management, increase energy efficiency, and enhance the safety of transport systems. From predictive maintenance to intelligent route optimization, Egis explores how AI can bolster electric vehicles, making them more efficient and less polluting, while also considering the ethical issues and potential challenges associated with the widespread adoption of AI in the mobility sector.
Big Data: A Lever for Optimization
Big Data is revolutionizing transport planning and management. By collecting and analyzing massive volumes of data, such as travel habits and real-time traffic conditions, we can develop more efficient transport solutions. Transport means are sized to handle peak commuter traffic. Mobility can still be optimized through careful collection, analysis, and use of transport data. Big Data analysis optimizes traffic, transport planning, and the spreading of traffic peaks by better understanding usage patterns, thereby paving new paths to intelligent mobility solutions. Thanks to successful real-world applications, the transformative potential of Big Data in reducing emissions and improving transport efficiency is already integrated into many cities. In this context, data privacy, security, and ethical considerations are crucial, with data anonymization being a first step. Individual incentives to change mobility behaviors are a largely underexploited theme.
Connectivity and Efficiency of the Internet of Things
The IoT plays a key role in improving transportation. IoT sensors placed on roads and in vehicles enable real-time communication, leading to quicker and safer decisions. For example, intelligent traffic light systems, which adapt to traffic flow, can reduce waiting times and improve traffic fluidity, thereby reducing fuel consumption. This approach of prioritizing tram traffic in Paris ensures journey times and makes public transport more attractive.
The combination of AI, Big Data, and IoT leads to significant advances in sustainability. Benefits of these technologies include improved energy efficiency, reduced emissions, increased safety, and lower operational costs. It's essential to address issues of privacy, data security, and regulation. Collaboration among different stakeholders, appropriate policies, and international cooperation are crucial to overcome these challenges.
Egis is actively engaged in transforming mobility towards a more sustainable model, aiming to create a future where transport systems are not only efficient but also environmentally friendly, contributing to a healthier world for future generations
