Top 5 Thesis Topics on Sensor-Based Traffic Lights in the Philippines

Source: GMA News Online

Let me convince you to make this a thesis.

One night on EDSA, a delivery driver slammed on his brakes. The light had turned yellow faster than he expected. He was used to seeing a countdown. Now, the green vanished without warning. Behind him, a motorcyclist barely swerved in time. No one crashed. But it was close. He muttered under his breath, "Dati, alam ko kailan titigil."

This isn’t just about traffic lights. This is about trust. When the MMDA replaced countdown timers with sensor-based signals, they removed a tool drivers relied on to anticipate danger. Now confusion rules. People are guessing. People are frustrated. People are scared. The promise was a smarter road. But what we got was silence, unpredictability, and near-misses. What’s really wrong? We’re testing tech in a city not ready for silence. And we're forgetting that safety isn’t just about sensors. It's about how people react to them.

Who Can Use These Topics

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

College Programs:

• Civil Engineering

• Urban Planning

• Psychology

• Information Technology

• Public Administration

Senior High School Strands:

• STEM

• HUMSS

• ABM

5 Thesis Topic Ideas

1.Impact of Sensor-Based Traffic Lights on Driver Behavior in Urban Intersections

Explores how drivers respond to the absence of countdown timers and whether this affects their driving habits or increases hesitation.

Target Respondents

• Private motorists

• Public utility drivers

• Motorcycle riders

2.Comparative Study on Traffic Efficiency Before and After Countdown Timer Removal

Measures changes in traffic flow and vehicle delays across major intersections where sensor-based systems replaced traditional timers.

Target Respondents

• MMDA traffic engineers

• Daily commuters

• City traffic planners

3.Perception of Safety Among Motorists Using Sensor-Based Traffic Signals

Investigates how the new adaptive lighting system influences drivers' sense of security and awareness on the road.

Target Respondents

• Professional drivers

• Motorcycle delivery riders

• Truck drivers

4.Cognitive Load and Reaction Time of Drivers Under

Sensor-Based vs Countdown-Based Signals

Analyzes the mental stress and reaction differences in motorists navigating intersections without visual countdowns.

Target Respondents

• Driving school students

• Experienced drivers

• Traffic psychologists

5.Acceptance and Trust Levels of the Public on MMDA’s

Sensor-Driven Traffic System

Looks into public opinion, satisfaction, and understanding of the transition to sensor-based traffic lights.

Target Respondents

• Residents of Metro Manila

• Urban transport researchers

• Government officials involved in transportation

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