5 Thesis Topics Exploring AI and Traffic Management in the Philippines

Explore five powerful thesis ideas on how AI technology and adaptive traffic systems are changing road safety, driver behavior, and urban mobility in the Philippines. Perfect for college and SHS students.

QUANTITATIVE AND QUALITATIVE RESEARCH

Realyn Manalo

7/3/20252 min read

Source: GMA News Online

Let me convince you to make this a thesis.

If you've ever been stuck in Manila traffic, you know the feeling. The horns. The heat. The chaos. Now imagine that traffic being managed not by tired humans or outdated countdown timers but by real-time data and AI. This is not science fiction. The MMDA is rolling out an adaptive signaling system that could transform how we move through the city. The technology uses sensors and video detectors that respond to actual traffic flow. It doesn't just follow a timer. It adapts.

But here's the real problem. We don't know if this works. There is no independent data proving the system reduces congestion or road crashes. No real understanding of how drivers behave with or without countdown timers. No long-term assessment of how these systems perform during floods, roadworks or rush hour. We are throwing technology at a broken system without knowing if it actually fixes anything. That is the gap. And someone needs to study it.


Who Can Use These Topics

This research is ideal for students and professionals pursuing the following courses or strands:

College Programs:

  • Civil Engineering

  • Computer Science

  • Information Technology

  • Urban Planning

  • Public Administration

  • Psychology

  • Sociology


Senior High School Strands:

  • STEM

  • ABM

  • HUMSS

5 Thesis Topic Ideas

1.Impact of AI-powered Adaptive Traffic Signals on Vehicle Congestion in Metro Manila

Examines whether intersections with adaptive signals experience less congestion compared to traditional systems.

Target Respondents

  • Daily commuters

  • MMDA traffic officers

  • Ride-hailing and delivery drivers

2.Relationship Between Countdown Timer Removal

and Risk-Taking Behavior Among Metro Manila Drivers

Looks into how the absence of countdown timers influences speeding, abrupt stops and red-light violations.

Target Respondents

  • Private car drivers

  • Motorcycle riders

  • Traffic enforcers

3.Effects of Adaptive Signal Systems on Emergency Vehicle Response Time in Urban Areas

Studies if ambulance and fire truck travel time improves in intersections using AI-based traffic management.

Target Respondents

  • Emergency responders

  • Dispatchers

  • Traffic engineers

4.Perceptions of AI-Powered Traffic Systems Among Filipino Drivers and Commuters

Analyzes how people understand, trust and adjust to smart traffic lights.

Target Respondents

  • Public utility drivers

  • Regular commuters

  • MMDA staff

5.Correlation Between Traffic Signal System Type and Incidence of Road Accidents in Metro Manila

Compares accident frequency in areas with traditional signals versus those using adaptive AI.

Target Respondents

  • MMDA accident reporting team

  • Local barangay officials

  • Hospital ER personnel

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