Public policy
Saving lives on Asia's most dangerous roads
Evaluating policies and predicting accident patterns
Goal
Thailand ranks ninth in the world in terms of road fatality per capita. Each day, over 50 people died from traffic accidents. Siametrics worked with Thailand Intelligent Traffic Information Center Foundation (iTic) to pioneer data-driven pathways toward safer roads. The goals of the project were to relate accident data to craft a policy recommendation and to build accident prediction model for field workers
Insight and Action
Combining Siametrics DeepMap geo-database with myriad of information—from past accident records to detailed road and surrounding business characteristics, we developed a holistic approach to tackle the road accidents, ranging from developing the AI-powered accident prediction system to thorough studies on accident risk factors and road-related policy assessment
Impact
1
%
reduction in resources
required to quickly respond to road accidents
1
data-driven policy recommendations
that helped authorities measure effectiveness
Find out more about how we used data-driven approach to help solve road accident issues
Download summary presentation of the project
Download full report (in Thai)
Download full report (in English)
