Introduction

Pedestrian traffic lights, essential components of urban safety infrastructure, coordinate pedestrian and vehicular movement through visual and auditory signals. Their development traces back to the mid-20th century, when rapid motorization necessitated standardized traffic control (U.S. Department of Transportation [USDOT], 2010). Research confirms their efficacy: signalized intersections reduce pedestrian-vehicle collisions by up to 50% compared to uncontrolled crossings (Retting et al., 2003). Innovations like countdown timers and adaptive sensors have further enhanced compliance and accessibility, as outlined in the U.S. Federal Highway Administration’s guidelines (Federal Highway Administration [FHWA], 2022). Emerging technologies, such as AI-driven systems that adjust signal timing based on real-time pedestrian density, are now being piloted to address urban mobility challenges (National Association of City Transportation Officials [NACTO], 2023). These advancements align with global efforts to create inclusive transportation networks under the UN Sustainable Development Goals.

References

A. T. (2003). A review of evidence-based traffic engineering measures to reduce pedestrian-motor vehicle crashes. American Journal of Public Health, 93(9), 1456–1458. https://doi.org/10.2105/AJPH.93.9.1456 

Federal Highway Administration. (2022). Pedestrian safety guide and countermeasure selection system. 

U.S. Department of Transportation. https://safety.fhwa.dot.gov/ped_bike/ped_cmnity/ped_guide/ National Association of City Transportation Officials. (2023). Smart streets: Integrating technology into urban mobility. https://nacto.org/publication/smart-streets/ Retting, R. A., Ferguson, S. A., & McCartt, 

U.S. Department of Transportation. (2010). Traffic signal timing manual. https://ops.fhwa.dot.gov/publications/fhwahop08024/chapter1.htm

Individual Research contributions to Group project

28/2/2025 - each of us pitch different research topics, we eventually took peck shien’s idea of using lidar and sonar. We craft out the ideal, gap and goal of our problem statement and I focused on the ideal part of the problem statement. 

1. The use of lidar and sonar to improve road safety in traffic crossroads.

2. I used Google to research more about the uses of lidar and sonar.