Bangkok implements artificial intelligence to reduce motorcyclist traffic violations
As part of an initiative to enforce traffic laws and improve road safety, Bangkok City Hall launched a pilot project using artificial intelligence (AI) video surveillance to prevent motorcyclists from walking on sidewalks. The project was officially launched on Wednesday during a press conference by Governor Chadchart Sittipunt at Phra Nakhon District City Hall.
How does an artificial intelligence system work
Mayor Chadchart explained that the mayor's office has installed an AI-controlled video surveillance network to help city officials enforce road discipline among motorcyclists who ride on sidewalks, endangering pedestrians.
“Using only employees to monitor and control led to conflicts with car owners and a lack of transparency,” he said. “Therefore, we use a video surveillance system to capture evidence. Artificial intelligence technology will help identify vehicle owners from our database and issue fines.”
Pilot project results and plans for the future
As part of a pilot project, AI cameras were installed at five sites and began operating on June 12. The system detected the following number of traffic violations by motorcyclists moving on sidewalks:
- Soi Ratchadapisek 36 (Sua Yai Utis) - 2921 cases
- Soi Phetkasem 28 - 1338 cases
- Before school Nivet Warin - 619 cases
- Soi Phetchaburi 9 - 49 cases
- In front of PTT gas station on Theparak Rd - 19 cases
Chadchart added that there are plans to install cameras at 100 sites across the city in the future. Other measures have also been announced to reduce traffic violations, including increasing the number of turnaround spaces for motorcycles to avoid the need to use sidewalks for traffic in the opposite direction, as well as the construction of connecting lanes between lanes so that motorcyclists do not have to enter the main road.
The use of AI CCTV and other measures taken by the City Hall will help reduce traffic violations and create a safer urban environment for all road users.
Author of the article: Ekaterina Antonova
