Conducted over one school semester across three high schools in Lop Buri, Thailand, this naturalistic study tracked 25 teenage motorcyclists over 500+ real-world trips (3,000+ km), demonstrating how RideHawk™ combines active collision warnings with app-based rider education to achieve strong safety scores (83.4–88.6) and a statistically significant increase in road-safety knowledge (p = .022).
Addressing Youth Mobility and the Rider Education Gap in Thailand
Motorcycles are an essential mode of daily transportation for students outside Bangkok and major urban centers, yet riders bear an extraordinary share of Thailand's road-safety burden. According to the World Health Organization (WHO), motorcycle users account for 83.8% of Thailand's estimated 18,218 annual road traffic fatalities, with youth aged 15–29 being the most affected group. Furthermore, research by the Thailand Accident Research Center (TARC) investigating 1,000 motorcycle crashes found that 41% of riders were unlicensed, over 90% were self-taught or learned informally from family and friends, and 49% of crashes stemmed from rider perception failure.
Naturalistic Field Study in Lop Buri (May – September 2026)
To evaluate how technology can simultaneously protect young riders today and develop safer riders for tomorrow, Motorcycle Safety Solutions (MSS) conducted a semester-long naturalistic study in Lop Buri, Thailand. The program followed 25 teenage students across three high schools during their daily school commutes, recording more than 500 real-world trips covering over 3,000 kilometers using the RideHawk™ platform. The evaluation integrated two core pillars:
• Active Protection & Risk Intelligence: Deploying forward collision warnings, crash detection and emergency alerts, rider-behavior analytics, and AI-powered safety scoring during daily school commutes.
• App-Based Rider Education: Delivering 24 active-learning modules and quizzes derived from Thailand's Department of Land Transport (DLT) training materials directly through the mobile platform.
Key Empirical Findings
• Strong Riding Performance: Across the three participating schools, mean RideHawk™ safety scores ranged from 83.4 to 88.6 (out of 100). Telemetry data also pinpointed specific behavioral coaching opportunities, including maintaining safer following distances, reducing aggressive riding, avoiding extremely close encounters with lead vehicles, and managing speeds.
• Statistically Significant Gains in Road-Safety Knowledge: At the conclusion of the semester, the complete dataset compared the 25 RideHawk™ participants against 78 students in a comparison cohort across the participating schools using a DLT-based assessment. RideHawk™ participants averaged 16.8 correct answers out of 25 (67.2%; median = 18), compared with 15.0 (60.0%; median = 15) for the comparison group. Using a linear mixed-effects model accounting for school-level clustering, RideHawk™ participation was associated with a statistically significant 2.17-point higher knowledge score (t = 2.333, p = .022).
From Active Protection to Continuous Rider Development
The significantly higher road-safety knowledge scores observed among RideHawk™ participants demonstrate the feasibility of pairing real-time collision avoidance with continuous, accessible digital education. Rather than treating rider training as a one-time event, RideHawk™ supports novice riders continuously as their habits form—mitigating immediate road risks today while building the foundational knowledge and hazard-perception skills required for safer riding tomorrow. For further inquiries regarding the Thailand Young Rider Study, please contact Dr. Rich Hanowski at This email address is being protected from spambots. You need JavaScript enabled to view it..
