Avanti R&D, Inc. proposes the following innovative AI and IoT solutions to address the challenges of optimizing Jurmala’s public bus system. These technologies are designed to enable data-driven decision making while protecting passenger privacy and supporting and efficient, environmentally-conscious public transportation system.
- Anonymous Passenger Counting System: Utilizing Avanti’s advanced anonymous re-identification (Re-ID) technology, this system accurately counts passengers getting on and off buses while complying with GDPR. It detects when passengers board and deboard, analyzing route usage trends and popular stops without identifying individuals. This enables route optimization based on actual demand.
- AI-powered Computer Vision System: Cameras installed inside buses, coupled with AI algorithms, detect whether passengers are seated or standing. This enhances passenger’s safety and optimizes bus departure timing. The system can also be used for real-time monitoring of crowding levels.
- Smart Traffic Monitoring System: Edge computing-based roadside sensors installed at key intersections and bus stops detect pedestrians, cyclists and other vehicles in real-time. By integrating this information with the bus system, traffic safety and operational efficiency can be improved.
- Multilingual Personalized Information System: Combining sound analytics and deep learning technologies, this system detects passenger’s languages and provide personalized, multilingual information. This includes route information, next stops, and tourist information, with potential integration with Jurmala’s “resident card” system.
- On-board AI Assistant System: A Large Language Model (LLM) installed on the bus, operating without internet connection, provides real-time answers to passenger queries. This enhances support for tourists and new users, encouraging greater use of public transportation.
All of these functions are designed with strict adherence to personal data protection, fully complying with GDPR and other data protection regulations. They also contribute to environmental conservation by optimizing routes to reduce CO2 emissions.
