Jakarta, INTI - The growing number of vehicles and high public mobility have made conventional transportation systems face various challenges, such as traffic congestion, accident rates, increasing energy consumption, and greenhouse gas emissions. To address these issues, the Intelligent Transportation System (ITS) is emerging as a technology-based solution that integrates transportation systems with information, communication, sensor, and artificial intelligence (AI) technologies.
Galih Nugraha Nurkahfi, a researcher at BRIN, explained that he and his team are developing an Intelligent Transportation System (ITS) by integrating information and communication technology into transportation and vehicle infrastructure, including sensors, computing, telecommunications, tracking, and AI.
"Several factors driving the development of ITS include congestion and mobility; road safety; energy and environmental efficiency; infrastructure limitations; technology push; market demand; and the development of autonomous vehicles," said Galih.
Multiple Sensors for Accurate Data Collection
In its implementation, ITS utilizes various sensors installed on road infrastructure and vehicles. The sensors include vehicle detection, surveillance, speed, traffic density, air quality, weather, parking, and noise sensors. Galih said that the collected data is then processed to provide a comprehensive traffic situation.
In modern vehicles, especially autonomous vehicles, various sensors such as LiDAR, radar, cameras, ultrasonic sensors, GPS, and Inertial Measurement Units (IMUs) work together to recognize the surrounding environment, detect objects, determine the vehicle's position, and make navigation decisions automatically.
"The integration of these various sensors is the main foundation for the development of safe and reliable driverless vehicles," said Galih.
The development of ITS is also supported by advances in computing technology. Mobile Edge Computing (MEC) technology enables data processing to be carried out close to the source of information, allowing for real-time responses to traffic conditions.
"Meanwhile, Cloud Computing provides large-scale data storage and analysis capabilities to support long-term transportation planning and the development of artificial intelligence models," he explained.
Through the development of an Intelligent Transportation System, a safer, more efficient, and more environmentally friendly transportation system will be created, capable of supporting sustainable community mobility.
"The synergy between sensor technology, computing, artificial intelligence, and data science is key to realizing a future transportation ecosystem that is smart, connected, and adaptive to various global challenges," concluded Galih.
Conclusion
The growing number of vehicles and high public mobility are driving the development of Intelligent Transportation Systems (ITS) as a solution to address congestion, improve safety, and reduce energy consumption and emissions. BRIN researcher, Galih Nugraha Nurkahfi, explained that ITS integrates information and communication technology, sensors, computing, telecommunications, and artificial intelligence to support a smarter transportation system. The integration between sensors, computing, AI, and data science is expected to create a future transportation system that is safe, efficient, environmentally friendly, and sustainable.
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