SMART CITIES
The problem
Traffic congestion is a major challenge for modern cities and remains a persistent issue that affects daily life and economic productivity. Associated key challenges of traffic congestion include:
Long delays for both commuters and emergency vehicles
Bad quality of public transport services forcing people to rely on private vehicles
Excessive fuel consumption leading to environmental pollution
Lowering quality of life and subsequently of road safety due to inadequate infrastructure for pedestrians and cyclists
Financial impact due to lost person-hours, fuel wastage and vehicle maintenance increased needs
The solution
Intelligent Transportation Systems (ITS) solutions integrated with powerful systems using real-time data, connecting with IoT equipment and automating analytics processes through artificial intelligence (AI) and machine learning (ML) may be exploited:
To dynamically adapt traffic signal control by exploiting real-time traffic data e.g. from cameras
To detect traffic conditions and incidents via Automatic Incident Detection (AID) cameras enhanced with Machine Learning (ML) algorithms, IoT sensors and GPS tracking
To dynamically manage traffic lanes based on detected traffic conditions
To effectively distribute traffic load by providing real-time traffic updates, diverting to less congested routes, suggesting multi-modal transport options and encouraging alternative transport modes
To provide smart parking capabilities and reduce fuel wastage and loss of time while searching for parking
To improve road safety by leveraging Vehicle-to-Everything (V2X) communication
To optimize public transport schedules via AI-based demand forecasting
To dynamically price tolls during traffic congestion
To predict congestion trends analyzing historical data via AI and Bid Data analytics techniques
iNET® offers a comprehensive suite of solutions that enhance signal timing, enable swift resolution of signal issues, streamline traffic incident management, and seamlessly integrate with legacy systems and devices. With the help of AI and ML data insights, predictive and preventative maintenance becomes easier. The integrated platform facilitates seamless operational efficiencies across departments and agencies: